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Global Science Overlay Maps
Robin Haunschild Lutz Bornmann
BRIC 2024, Vancouver, June 06, 2024
Global maps
Global vs. local
Local maps only show the nodes of the focus dataset
Global maps show the nodes of the focus dataset embedded in the
environment
Node positions are different for local and global maps
Local maps are “cheaper”
Global maps are “more expensive”
Global Science Overlay Maps R. Haunschild & L. Bornmann 2
Overlay maps and base maps
What are overlay maps and base maps?
Overlay maps use a base map to project data/information onto it
Usually, the node size is scaled with the number of papers
Node colors can be associated with impact, cluster assignment, field
assignment, or other pieces of information
Overlay maps can be constructed from local or global base maps
Base maps provide the coordinates and cluster assignments of the nodes – all
other data are provided by the overlay data
Global Science Overlay Maps R. Haunschild & L. Bornmann 3
Why OpenAlex?
Why is OpenAlex suitable for global maps?
OpenAlex is free
→ Everyone can obtain and use the data
OpenAlex has a very large coverage of the literature → More of the scientific
environment is included
Global Science Overlay Maps R. Haunschild & L. Bornmann 4
History
A short history of global overlay maps
Boyack (2009) proposed the methodology for the first time using data from Web of
Science
Klavans and Boyack (2009) proposed a global overlay map of the scientific landscape
Description of two general approaches for creating global maps on the basis of
individual documents (Klavans & Boyack, 2010)
The method was developed further by Rafols, Porter, & Leydesdorff (2010),
Leydesdorff & Rafols (2012), and Leydesdorff et al. (2013) – interactive overlays
based on Web of Science were presented
Boyack, K. W. (2009). Using detailed maps of science to identify potential collaborations. Scientometrics, 79(1), 27-44. DOI: DOI
10.1007/s11192-009-0402-6.
Klavans, R. & Boyack, K. W. (2009). Toward a consensus map of science. Journal of the American Society for Information Science and Technology,
60(3), 455-476. DOI: 10.1002/asi.20991.
Klavans, R. & Boyack, K. W. (2010). Using global mapping to create more accurate document-level maps of research fields. Journal of the American
Society for Information Science and Technology, 62(1), 1-18. DOI: 10.1002/asi.21444.
Leydesdorff, L. & Rafols, I. (2012). Interactive overlays: A new method for generating global journal maps from Web of Science data. Journal of
Informetrics, 6(2), 318-332. DOI: 10.1016/j.joi.2011.11.003.
Leydesdorff, L., Rafols, I., & Chen, C. (2013). Interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated
journal-journal citations. Journal of the American Society for Information Science and Technology, 64(12), 2573-2586. DOI: 10.1002/asi.22946.
Rafols, I., Porter, A. L., & Leydesdorff, L. (2010). Science Overlay Maps: A New Tool for Research Policy and Library Management. Journal of the
American Society for Information Science and Technology, 61(9), 1871-1887. DOI: 10.1002/asi.21368.
Global Science Overlay Maps R. Haunschild & L. Bornmann 5
History
A short history of global overlay maps
Leydesdorff et al. (2012) created global overlay maps with MeSH terms on the basis of
PubMed
Leydesdorff et al. (2015) presented overlay maps based of Scopus data
Bornmann & Haunschild (2016) transferred the method from bibliometrics to altmetrics
by applying it to Mendeley data
VOSviewer (van Eck & Waltman, 2010) is well suited to create and use overlay maps
Kevin Boyack and Richard Klavans received the Derek de Solla Price Memorial Medal
in 2023 as a team “for their outstanding contribution to the field of scientometrics”
(Editors, 2023). Kevin Boyack highlighted their work on global overlay maps in his
presentation
Bornmann, L. & Haunschild, R. (2016). Overlay maps based on Mendeley data: The use of altmetrics for readership networks. Journal of the
Association for Information Science and Technology, 67(12), 3064-3072. DOI: 10.1002/asi.23569.
Editors (2023). The team Kevin W. Boyack and Richard Klavans wins the 2023 Derek John de Solla Price Medal. Scientometrics. DOI:
10.1007/s11192-023-04847-7.
Leydesdorff, L., Rotolo, D., & Rafols, I. (2012). Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed.
Journal of the American Society for Information Science and Technology, 63(11), 2239-2253. DOI: 10.1002/asi.22715.
Leydesdorff, L., de Moya-Anegon, F., & Guerrero-Bote, V. P. (2015). Journal Maps, interactive overlays, and the measurement of interdisciplinarity on
the basis of Scopus data (1996-2012). Journal of the American Society for Information Science and Technology, 66(5), 1001-1016. DOI:
10.1002/asi.23243.
van Eck, N. J. & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. DOI:
10.1007/s11192-009-0146-3.
Global Science Overlay Maps R. Haunschild & L. Bornmann 6
Dataset and method
Dataset
OpenAlex snapshot from August 2023 with 243,053,925 documents in the
“Kompetenznetzwerk Bibliometrie” (KB)
1800-2022: 237,876,541 documents
2008-2022: 134,092,007 documents
2013-2022: 95,438,459 documents
2018-2022: 47,665,990 documents
2022: 8,496,167 documents
Global Science Overlay Maps R. Haunschild & L. Bornmann 7
Dataset and method
Method – node selection
Nodes are concepts
Levels 0-2 out of 0-5 are used.
19 concepts on level 0, 284 concepts on level 1,
and 21,460 concepts on level 2
1800-2022: 237,830,057 documents with at least one of 21,758 concepts
2008-2022: 134,054,634 documents with at least one of 21,758 concepts
2013-2022: 95,406,638 documents with at least one of 21,758 concepts
2018-2022: 47,641,330 documents with at least one of 21,756 concepts
2022: 8,478,584 documents with at least one of 21,715 concepts
No document type restrictions for obtaining global maps
Global Science Overlay Maps R. Haunschild & L. Bornmann 8
Dataset and method
Method – positioning of the nodes
Direct citation relations are used for the calculation of the node positions
Usage of a five-year citation (i.e., referencing) window (plus publication year)
as default
One map was created using a thirty-year citation window (plus publication year)
select cd.id cited_concept, cg.id citing_concept, count(*) cit_rels from
fiz_openalex_rep_20230819_openbib.works_referenced_works r join
fiz_openalex_rep_20230819_openbib.works_concepts wcd on referenced_work_id=wcd.work_id join
fiz_openalex_rep_20230819_openbib.concepts cd on cd.id=wcd.concept_id join
fiz_openalex_rep_20230819_openbib.works wd on wd.id=wcd.work_id join
fiz_openalex_rep_20230819_openbib.works_concepts wcg on r.work_id=wcg.work_id join
fiz_openalex_rep_20230819_openbib.concepts cg on cg.id=wcg.concept_id join
fiz_openalex_rep_20230819_openbib.works wg on wg.id=wcg.work_id where cd.level between 0 and 2 and
cg.level between 0 and 2 and wg.publication_year-wd.publication_year between 0 and 5 and wg.publication_year
between 2008 and 2022 group by cd.id, cg.id order by cd.id, cg.id;
Global Science Overlay Maps R. Haunschild & L. Bornmann 9
Dataset and method
Method – Creation of the base map
Import SQL result into VOSviewer
„Create” → „Create a map based on network data” → „VOSviewer network file”
Save map (and where required network) file
Replace concept IDs with display names
Load new map file in VOSviewer and adjust parameters, here:
Cluster resolution: 1.25
Min. cluster size: 500
Label size variation: 0.2 (0.4)
Scale: 0.5 (1.0)
Global Science Overlay Maps R. Haunschild & L. Bornmann 10
Dataset and method
Method – overlay of data
Export data (papers per concept) from OpenAlex:
Web interface
API
Snapshot
Fill in the number of papers in the column “weight<papers>” in the row of the
concept if the focal unit has at least one paper assigned to this concept
Remove the values in the columns “label” and “weight<papers>” in the row of
the concept and set the color to a different value (e.g., 200,200,200) if the focal
unit has no papers assigned to this concept
Global Science Overlay Maps R. Haunschild & L. Bornmann 11
Dataset and method
Method – normalized overlay maps
Export number of papers (N) per concept (c) on level l in the OpenAlex world
(w) for the map or focal unit (u)
Nwl =
P
c Ncwl
Nul =
P
c Ncul
pcwl = Ncwl/Nwl
pcul = Ncul/Nul
Acul = pcul/pcwl
Fill in Acul in the column “weight<papers>” in the row of the concept if the focal
unit has at least one paper assigned to this concept
Remove the values in the columns “label” and “weight<papers>” in the row of
the concept and set the color to a different value (e.g., 200,200,200) if the focal
unit has no papers assigned to this concept
Global Science Overlay Maps R. Haunschild & L. Bornmann 12
Base maps
Six different base maps
A) 1800-2022 with a 30-year citation window
B) 1800-2022 with a five-year citation window
C) 2008-2022 with a five-year citation window
D) 2013-2022 with a five-year citation window
E) 2018-2022 with a five-year citation window
F) 2022 with a five-year citation window
Link to base maps: http://ivs.fkf.mpg.de/global_maps_OpenAlex/
Global Science Overlay Maps R. Haunschild & L. Bornmann 13
Comparison of the six base maps
A) B) C)
D) E) F)
Global Science Overlay Maps R. Haunschild & L. Bornmann 14
A) 1800-2022 with a 30-year citation window
Cluster colors were assigned
according to cluster size:
orange (social sciences
and humanities), green
(medicine), blue (mathemat-
ics, computer sciences, and
theoretical physics), yellow
(physics and engineering),
pink (biology), and light-blue
(chemistry and material sci-
ences)
Global Science Overlay Maps R. Haunschild & L. Bornmann 15
B) 1800-2022 with a five-year citation window
Cluster colors were assigned
according to cluster size:
orange (social sciences
and humanities), green
(medicine), blue (physics
and engineering), yellow
(mathematics, computer
sciences, and theoretical
physics), pink (biology), and
light-blue (chemistry and
material sciences)
Global Science Overlay Maps R. Haunschild & L. Bornmann 16
C) 2008-2022 with a five-year citation window
Cluster colors were assigned
according to cluster size:
orange (social sciences
and humanities), green
(medicine), blue (physics
and engineering), yellow
(mathematics, computer
sciences, and theoretical
physics), pink (biology), and
light-blue (chemistry and
material sciences)
Global Science Overlay Maps R. Haunschild & L. Bornmann 17
D) 2013-2022 with a five-year citation window
Cluster colors were assigned
according to cluster size:
orange (social sciences
and humanities), green
(medicine), blue (mathemat-
ics, computer sciences, and
theoretical physics), yellow
(physics and engineering),
pink (Biologie), and light-blue
(chemistry and material sci-
ences)
Global Science Overlay Maps R. Haunschild & L. Bornmann 18
E) 2018-2022 with a five-year citation window
Cluster colors were assigned
according to cluster size:
orange (social sciences
and humanities), green
(medicine), blue (mathemat-
ics, computer sciences, and
theoretical physics), yellow
(physics and engineering),
pink (biology), and light-blue
(chemistry and material sci-
ences)
Global Science Overlay Maps R. Haunschild & L. Bornmann 19
F) 2022 with a five-year citation window
Cluster colors were assigned
according to cluster size:
orange (social sciences
and humanities), green
(medicine), blue (mathemat-
ics, computer sciences, and
theoretical physics), yellow
(biology), pink (physics and
engineering), and light-blue
(chemistry and material sci-
ences)
Global Science Overlay Maps R. Haunschild & L. Bornmann 20
Examples for overlay maps
Six different overlay maps on the base map 2008-2022
A) Papers that are assigned to the OpenAlex author ID of Robin Haunschild
B) Papers that are assigned to the OpenAlex institute ID of the Max Planck Institute for
Solid State Reserach (MPI-FKF)
C) Papers that are assigned to the OpenAlex institute ID of Victoria University
D) Papers that are assigned to the OpenAlex institute ID of Calgary University
E) Papers that are assigned to the OpenAlex institute ID of McGill University
F) Papers that are assigned to the OpenAlex institute ID of McMaster University
G) Papers that are assigned to the OpenAlex institute ID of University of Toronto
H) Papers that are assigned to the OpenAlex institute ID of University of British
Columbia
Global Science Overlay Maps R. Haunschild & L. Bornmann 21
Example: global overlay maps of Robin Haunschild
(without normalization) (with normalization)
Global Science Overlay Maps R. Haunschild & L. Bornmann 22
Example: global overlay maps of MPI-FKF
(without normalization) (with normalization)
Global Science Overlay Maps R. Haunschild & L. Bornmann 23
Example: global overlay maps of Victoria University
(without normalization) (with normalization)
Global Science Overlay Maps R. Haunschild & L. Bornmann 24
Example: global overlay maps of Calgary University
(without normalization) (with normalization)
Global Science Overlay Maps R. Haunschild & L. Bornmann 25
Example: global overlay maps of McGill University
(without normalization) (with normalization)
Global Science Overlay Maps R. Haunschild & L. Bornmann 26
Example: global overlay maps of McMaster University
(without normalization) (with normalization)
Global Science Overlay Maps R. Haunschild & L. Bornmann 27
Example: global overlay maps of University of Toronto
(without normalization) (with normalization)
Global Science Overlay Maps R. Haunschild & L. Bornmann 28
Example: global overlay maps of University of British Columbia
(without normalization) (with normalization)
Global Science Overlay Maps R. Haunschild & L. Bornmann 29
Example: normalized global overlay maps of six Canadian
universities
Calgary University Victoria University McMaster University
McGill University University of Toronto University of British Columbia
Global Science Overlay Maps R. Haunschild & L. Bornmann 30
Summary
Summary
Base maps for different time periods were provided
Citation windows of five years seem to be sufficient for base maps
Data for overlay maps can be retrieved via the GUI, API, or from a snapshot of
OpenAlex
Wrongly assigned papers (to concepts as well as to units) produce surprising
results – data correction might help
Improvement of the assignment of the papers to concepts in OpenAlex would
improve the base maps and the overlay maps
Global Science Overlay Maps R. Haunschild & L. Bornmann 31
Outlook
Outlook
Construction of global overlay maps on the basis of the
new topics in OpenAlex
journals in OpenAlex
subjects in Scilit
Usage of additional data for the overlay color (e.g., publication year, scientific
impact)
Global Science Overlay Maps R. Haunschild & L. Bornmann 32
https://ivs.fkf.mpg.de/slides_bric2024.pdf
arXiv preprint:
https://arxiv.org/abs/2404.02732
Email:
R.Haunschild@fkf.mpg.de
Twitter:
@rhaunschild
Mastodon:
@rhaunschild@social.mpdl.mpg.de
53 23 16
53 23 16
Global Science Overlay Maps R. Haunschild & L. Bornmann 33

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BRIC_2024_2024-06-06-11:30-haunschild_archival_version.pdf

  • 1. Global Science Overlay Maps Robin Haunschild Lutz Bornmann BRIC 2024, Vancouver, June 06, 2024
  • 2. Global maps Global vs. local Local maps only show the nodes of the focus dataset Global maps show the nodes of the focus dataset embedded in the environment Node positions are different for local and global maps Local maps are “cheaper” Global maps are “more expensive” Global Science Overlay Maps R. Haunschild & L. Bornmann 2
  • 3. Overlay maps and base maps What are overlay maps and base maps? Overlay maps use a base map to project data/information onto it Usually, the node size is scaled with the number of papers Node colors can be associated with impact, cluster assignment, field assignment, or other pieces of information Overlay maps can be constructed from local or global base maps Base maps provide the coordinates and cluster assignments of the nodes – all other data are provided by the overlay data Global Science Overlay Maps R. Haunschild & L. Bornmann 3
  • 4. Why OpenAlex? Why is OpenAlex suitable for global maps? OpenAlex is free → Everyone can obtain and use the data OpenAlex has a very large coverage of the literature → More of the scientific environment is included Global Science Overlay Maps R. Haunschild & L. Bornmann 4
  • 5. History A short history of global overlay maps Boyack (2009) proposed the methodology for the first time using data from Web of Science Klavans and Boyack (2009) proposed a global overlay map of the scientific landscape Description of two general approaches for creating global maps on the basis of individual documents (Klavans & Boyack, 2010) The method was developed further by Rafols, Porter, & Leydesdorff (2010), Leydesdorff & Rafols (2012), and Leydesdorff et al. (2013) – interactive overlays based on Web of Science were presented Boyack, K. W. (2009). Using detailed maps of science to identify potential collaborations. Scientometrics, 79(1), 27-44. DOI: DOI 10.1007/s11192-009-0402-6. Klavans, R. & Boyack, K. W. (2009). Toward a consensus map of science. Journal of the American Society for Information Science and Technology, 60(3), 455-476. DOI: 10.1002/asi.20991. Klavans, R. & Boyack, K. W. (2010). Using global mapping to create more accurate document-level maps of research fields. Journal of the American Society for Information Science and Technology, 62(1), 1-18. DOI: 10.1002/asi.21444. Leydesdorff, L. & Rafols, I. (2012). Interactive overlays: A new method for generating global journal maps from Web of Science data. Journal of Informetrics, 6(2), 318-332. DOI: 10.1016/j.joi.2011.11.003. Leydesdorff, L., Rafols, I., & Chen, C. (2013). Interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal-journal citations. Journal of the American Society for Information Science and Technology, 64(12), 2573-2586. DOI: 10.1002/asi.22946. Rafols, I., Porter, A. L., & Leydesdorff, L. (2010). Science Overlay Maps: A New Tool for Research Policy and Library Management. Journal of the American Society for Information Science and Technology, 61(9), 1871-1887. DOI: 10.1002/asi.21368. Global Science Overlay Maps R. Haunschild & L. Bornmann 5
  • 6. History A short history of global overlay maps Leydesdorff et al. (2012) created global overlay maps with MeSH terms on the basis of PubMed Leydesdorff et al. (2015) presented overlay maps based of Scopus data Bornmann & Haunschild (2016) transferred the method from bibliometrics to altmetrics by applying it to Mendeley data VOSviewer (van Eck & Waltman, 2010) is well suited to create and use overlay maps Kevin Boyack and Richard Klavans received the Derek de Solla Price Memorial Medal in 2023 as a team “for their outstanding contribution to the field of scientometrics” (Editors, 2023). Kevin Boyack highlighted their work on global overlay maps in his presentation Bornmann, L. & Haunschild, R. (2016). Overlay maps based on Mendeley data: The use of altmetrics for readership networks. Journal of the Association for Information Science and Technology, 67(12), 3064-3072. DOI: 10.1002/asi.23569. Editors (2023). The team Kevin W. Boyack and Richard Klavans wins the 2023 Derek John de Solla Price Medal. Scientometrics. DOI: 10.1007/s11192-023-04847-7. Leydesdorff, L., Rotolo, D., & Rafols, I. (2012). Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed. Journal of the American Society for Information Science and Technology, 63(11), 2239-2253. DOI: 10.1002/asi.22715. Leydesdorff, L., de Moya-Anegon, F., & Guerrero-Bote, V. P. (2015). Journal Maps, interactive overlays, and the measurement of interdisciplinarity on the basis of Scopus data (1996-2012). Journal of the American Society for Information Science and Technology, 66(5), 1001-1016. DOI: 10.1002/asi.23243. van Eck, N. J. & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. DOI: 10.1007/s11192-009-0146-3. Global Science Overlay Maps R. Haunschild & L. Bornmann 6
  • 7. Dataset and method Dataset OpenAlex snapshot from August 2023 with 243,053,925 documents in the “Kompetenznetzwerk Bibliometrie” (KB) 1800-2022: 237,876,541 documents 2008-2022: 134,092,007 documents 2013-2022: 95,438,459 documents 2018-2022: 47,665,990 documents 2022: 8,496,167 documents Global Science Overlay Maps R. Haunschild & L. Bornmann 7
  • 8. Dataset and method Method – node selection Nodes are concepts Levels 0-2 out of 0-5 are used. 19 concepts on level 0, 284 concepts on level 1, and 21,460 concepts on level 2 1800-2022: 237,830,057 documents with at least one of 21,758 concepts 2008-2022: 134,054,634 documents with at least one of 21,758 concepts 2013-2022: 95,406,638 documents with at least one of 21,758 concepts 2018-2022: 47,641,330 documents with at least one of 21,756 concepts 2022: 8,478,584 documents with at least one of 21,715 concepts No document type restrictions for obtaining global maps Global Science Overlay Maps R. Haunschild & L. Bornmann 8
  • 9. Dataset and method Method – positioning of the nodes Direct citation relations are used for the calculation of the node positions Usage of a five-year citation (i.e., referencing) window (plus publication year) as default One map was created using a thirty-year citation window (plus publication year) select cd.id cited_concept, cg.id citing_concept, count(*) cit_rels from fiz_openalex_rep_20230819_openbib.works_referenced_works r join fiz_openalex_rep_20230819_openbib.works_concepts wcd on referenced_work_id=wcd.work_id join fiz_openalex_rep_20230819_openbib.concepts cd on cd.id=wcd.concept_id join fiz_openalex_rep_20230819_openbib.works wd on wd.id=wcd.work_id join fiz_openalex_rep_20230819_openbib.works_concepts wcg on r.work_id=wcg.work_id join fiz_openalex_rep_20230819_openbib.concepts cg on cg.id=wcg.concept_id join fiz_openalex_rep_20230819_openbib.works wg on wg.id=wcg.work_id where cd.level between 0 and 2 and cg.level between 0 and 2 and wg.publication_year-wd.publication_year between 0 and 5 and wg.publication_year between 2008 and 2022 group by cd.id, cg.id order by cd.id, cg.id; Global Science Overlay Maps R. Haunschild & L. Bornmann 9
  • 10. Dataset and method Method – Creation of the base map Import SQL result into VOSviewer „Create” → „Create a map based on network data” → „VOSviewer network file” Save map (and where required network) file Replace concept IDs with display names Load new map file in VOSviewer and adjust parameters, here: Cluster resolution: 1.25 Min. cluster size: 500 Label size variation: 0.2 (0.4) Scale: 0.5 (1.0) Global Science Overlay Maps R. Haunschild & L. Bornmann 10
  • 11. Dataset and method Method – overlay of data Export data (papers per concept) from OpenAlex: Web interface API Snapshot Fill in the number of papers in the column “weight<papers>” in the row of the concept if the focal unit has at least one paper assigned to this concept Remove the values in the columns “label” and “weight<papers>” in the row of the concept and set the color to a different value (e.g., 200,200,200) if the focal unit has no papers assigned to this concept Global Science Overlay Maps R. Haunschild & L. Bornmann 11
  • 12. Dataset and method Method – normalized overlay maps Export number of papers (N) per concept (c) on level l in the OpenAlex world (w) for the map or focal unit (u) Nwl = P c Ncwl Nul = P c Ncul pcwl = Ncwl/Nwl pcul = Ncul/Nul Acul = pcul/pcwl Fill in Acul in the column “weight<papers>” in the row of the concept if the focal unit has at least one paper assigned to this concept Remove the values in the columns “label” and “weight<papers>” in the row of the concept and set the color to a different value (e.g., 200,200,200) if the focal unit has no papers assigned to this concept Global Science Overlay Maps R. Haunschild & L. Bornmann 12
  • 13. Base maps Six different base maps A) 1800-2022 with a 30-year citation window B) 1800-2022 with a five-year citation window C) 2008-2022 with a five-year citation window D) 2013-2022 with a five-year citation window E) 2018-2022 with a five-year citation window F) 2022 with a five-year citation window Link to base maps: http://ivs.fkf.mpg.de/global_maps_OpenAlex/ Global Science Overlay Maps R. Haunschild & L. Bornmann 13
  • 14. Comparison of the six base maps A) B) C) D) E) F) Global Science Overlay Maps R. Haunschild & L. Bornmann 14
  • 15. A) 1800-2022 with a 30-year citation window Cluster colors were assigned according to cluster size: orange (social sciences and humanities), green (medicine), blue (mathemat- ics, computer sciences, and theoretical physics), yellow (physics and engineering), pink (biology), and light-blue (chemistry and material sci- ences) Global Science Overlay Maps R. Haunschild & L. Bornmann 15
  • 16. B) 1800-2022 with a five-year citation window Cluster colors were assigned according to cluster size: orange (social sciences and humanities), green (medicine), blue (physics and engineering), yellow (mathematics, computer sciences, and theoretical physics), pink (biology), and light-blue (chemistry and material sciences) Global Science Overlay Maps R. Haunschild & L. Bornmann 16
  • 17. C) 2008-2022 with a five-year citation window Cluster colors were assigned according to cluster size: orange (social sciences and humanities), green (medicine), blue (physics and engineering), yellow (mathematics, computer sciences, and theoretical physics), pink (biology), and light-blue (chemistry and material sciences) Global Science Overlay Maps R. Haunschild & L. Bornmann 17
  • 18. D) 2013-2022 with a five-year citation window Cluster colors were assigned according to cluster size: orange (social sciences and humanities), green (medicine), blue (mathemat- ics, computer sciences, and theoretical physics), yellow (physics and engineering), pink (Biologie), and light-blue (chemistry and material sci- ences) Global Science Overlay Maps R. Haunschild & L. Bornmann 18
  • 19. E) 2018-2022 with a five-year citation window Cluster colors were assigned according to cluster size: orange (social sciences and humanities), green (medicine), blue (mathemat- ics, computer sciences, and theoretical physics), yellow (physics and engineering), pink (biology), and light-blue (chemistry and material sci- ences) Global Science Overlay Maps R. Haunschild & L. Bornmann 19
  • 20. F) 2022 with a five-year citation window Cluster colors were assigned according to cluster size: orange (social sciences and humanities), green (medicine), blue (mathemat- ics, computer sciences, and theoretical physics), yellow (biology), pink (physics and engineering), and light-blue (chemistry and material sci- ences) Global Science Overlay Maps R. Haunschild & L. Bornmann 20
  • 21. Examples for overlay maps Six different overlay maps on the base map 2008-2022 A) Papers that are assigned to the OpenAlex author ID of Robin Haunschild B) Papers that are assigned to the OpenAlex institute ID of the Max Planck Institute for Solid State Reserach (MPI-FKF) C) Papers that are assigned to the OpenAlex institute ID of Victoria University D) Papers that are assigned to the OpenAlex institute ID of Calgary University E) Papers that are assigned to the OpenAlex institute ID of McGill University F) Papers that are assigned to the OpenAlex institute ID of McMaster University G) Papers that are assigned to the OpenAlex institute ID of University of Toronto H) Papers that are assigned to the OpenAlex institute ID of University of British Columbia Global Science Overlay Maps R. Haunschild & L. Bornmann 21
  • 22. Example: global overlay maps of Robin Haunschild (without normalization) (with normalization) Global Science Overlay Maps R. Haunschild & L. Bornmann 22
  • 23. Example: global overlay maps of MPI-FKF (without normalization) (with normalization) Global Science Overlay Maps R. Haunschild & L. Bornmann 23
  • 24. Example: global overlay maps of Victoria University (without normalization) (with normalization) Global Science Overlay Maps R. Haunschild & L. Bornmann 24
  • 25. Example: global overlay maps of Calgary University (without normalization) (with normalization) Global Science Overlay Maps R. Haunschild & L. Bornmann 25
  • 26. Example: global overlay maps of McGill University (without normalization) (with normalization) Global Science Overlay Maps R. Haunschild & L. Bornmann 26
  • 27. Example: global overlay maps of McMaster University (without normalization) (with normalization) Global Science Overlay Maps R. Haunschild & L. Bornmann 27
  • 28. Example: global overlay maps of University of Toronto (without normalization) (with normalization) Global Science Overlay Maps R. Haunschild & L. Bornmann 28
  • 29. Example: global overlay maps of University of British Columbia (without normalization) (with normalization) Global Science Overlay Maps R. Haunschild & L. Bornmann 29
  • 30. Example: normalized global overlay maps of six Canadian universities Calgary University Victoria University McMaster University McGill University University of Toronto University of British Columbia Global Science Overlay Maps R. Haunschild & L. Bornmann 30
  • 31. Summary Summary Base maps for different time periods were provided Citation windows of five years seem to be sufficient for base maps Data for overlay maps can be retrieved via the GUI, API, or from a snapshot of OpenAlex Wrongly assigned papers (to concepts as well as to units) produce surprising results – data correction might help Improvement of the assignment of the papers to concepts in OpenAlex would improve the base maps and the overlay maps Global Science Overlay Maps R. Haunschild & L. Bornmann 31
  • 32. Outlook Outlook Construction of global overlay maps on the basis of the new topics in OpenAlex journals in OpenAlex subjects in Scilit Usage of additional data for the overlay color (e.g., publication year, scientific impact) Global Science Overlay Maps R. Haunschild & L. Bornmann 32