What can we learn from citation lists
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The document discusses using citation lists and analysis to evaluate researchers. It describes different citation metrics that can be used to measure volume and quality of work, including citation count, h-index, and citation graph analysis. It provides an example comparing two candidate researchers - Stephen Hawking and Panos Alexopoulos - and analyzing their citation counts, fields of research, and publications to inform an evaluation. Visualization of citation networks is presented as a way to assist in comprehending citation-based evaluations.
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What can we learn from citation lists
- 1. Knowledge and Uncertainty Research Laboratory What can we learn from citation lists Manolis Wallace 1
- 2. Knowledge and Uncertainty Research Laboratory 22/6/20152
- 3. Knowledge and Uncertainty Research Laboratory EU member Euro € currency 10,816,286 population 16.5 million tourists per year More than 6,000 islands Up to 227 are inhabited 22/6/20153 Greece
- 4. Knowledge and Uncertainty Research Laboratory Founded in 2002 Located in Tripoli, Corinth, Kalamata, Nafplion, and Sparta 6,000 students Department of Informatics… … and Telecommunications 22/6/20154 University of Peloponnese
- 5. Knowledge and Uncertainty Research Laboratory Knowledge and Uncertainty Research Laboratory Knowledge Γνώση - Ghnosi Uncertainty ΑΒεβαιότητα - AVeveotita 22/6/20155 The group
- 6. Knowledge and Uncertainty Research Laboratory Italian → bau-bau; arf-arf Turkish → hev-hev Thai → hong-hong Korean → mung-mung; wang-wang Swedish → voff-voff; vov-vov Greek → ghav-ghav 22/6/20156 Barking dog
- 7. Knowledge and Uncertainty Research Laboratory 22/6/20157
- 8. Knowledge and Uncertainty Research Laboratory 22/6/20158
- 9. Knowledge and Uncertainty Research Laboratory 22/6/20159
- 10. Knowledge and Uncertainty Research Laboratory 22/6/201510
- 11. Knowledge and Uncertainty Research Laboratory 22/6/201511
- 12. Knowledge and Uncertainty Research Laboratory 22/6/201512
- 13. Knowledge and Uncertainty Research Laboratory 22/6/201513
- 14. Knowledge and Uncertainty Research Laboratory 22/6/201514
- 15. Knowledge and Uncertainty Research Laboratory 22/6/201515
- 16. Knowledge and Uncertainty Research Laboratory 22/6/201516
- 17. Knowledge and Uncertainty Research Laboratory 22/6/201517
- 18. Knowledge and Uncertainty Research Laboratory 22/6/201518
- 19. Knowledge and Uncertainty Research Laboratory Researcher evaluation Volume of work Quality of work Difficulties Objectivity Data availability 22/6/201519 Today’s talk
- 20. Knowledge and Uncertainty Research Laboratory Publication lists YES Publications NO Citations Yes, partially 22/6/201520 What is available
- 21. Knowledge and Uncertainty Research Laboratory Publications Count Journal / book / conference / chapter Indexed Monograph / with associates How many contributors All / recent Researcher has # <criterion> publications 22/6/201521 Volume
- 22. Knowledge and Uncertainty Research Laboratory Citations Self-citations / group citations All / recent Researchers has # <criterion> citations 22/6/201522 Quality
- 23. Knowledge and Uncertainty Research Laboratory count average per paper/author h index h1, h2, h3 g index e index s index i-10 index 22/6/201523 Citation metrics
- 24. Knowledge and Uncertainty Research Laboratory Currently examining count of local edges What else is there? Who is citing your work? What types of publications cite you? How important are the papers citing you? How many works are you affecting in the long run? What are the subjects of the citing papers? 22/6/201524 Citation graph
- 25. Knowledge and Uncertainty Research Laboratory Ontology engineer for research project 22/6/201525 A simple example
- 26. Knowledge and Uncertainty Research Laboratory Stephen 93.034 citations Panos 69 citations 22/6/201526 The candidates
- 27. Knowledge and Uncertainty Research Laboratory Stephen Hawking 93.034 citations Theoretical physics Panos Alexopoulos 69 citations Ontology engineering 22/6/201527 The candidates
- 28. Knowledge and Uncertainty Research Laboratory Citation Title Abstract Keywords Full text Where it was published 22/6/201528 Scientific field of impact
- 29. Knowledge and Uncertainty Research Laboratory Citation acquisition Citation analysis Impact quantification Presentation 22/6/201529 Evaluation process
- 30. Knowledge and Uncertainty Research Laboratory 22/6/201530
- 31. Knowledge and Uncertainty Research Laboratory 22/6/201531
- 32. Knowledge and Uncertainty Research Laboratory 22/6/201532
- 33. Knowledge and Uncertainty Research Laboratory Run application See results 22/6/201533 Let’s try this
- 34. Knowledge and Uncertainty Research Laboratory 22/6/201534
- 35. Knowledge and Uncertainty Research Laboratory 22/6/201535
- 36. Knowledge and Uncertainty Research Laboratory Color coding 22/6/201536 Presentation
- 37. Knowledge and Uncertainty Research Laboratory Size for count Direction/color for field 22/6/201537 Visualization
- 38. Knowledge and Uncertainty Research Laboratory Run application 22/6/201538 Let’s try this
- 39. Knowledge and Uncertainty Research Laboratory 22/6/201539
- 40. Knowledge and Uncertainty Research Laboratory 22/6/201540
- 41. Knowledge and Uncertainty Research Laboratory 22/6/201541
- 42. Knowledge and Uncertainty Research Laboratory 22/6/201542
- 43. Knowledge and Uncertainty Research Laboratory ..this is just the citation count 22/6/201543 And…
- 44. Knowledge and Uncertainty Research Laboratory Evaluation based on citations Citations are (almost) open data Publication medium shows field Visualization assists comprehension Dogs go ghav-ghav in Greece 22/6/201544 Concluding
- 45. Knowledge and Uncertainty Research Laboratory What can we learn from citation lists Manolis Wallace 45