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Google Scholar as a data source for bibliometric analysis

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Presentation at the European Scientometrics Summer School 2015 held in Leuven (Belgium) on July 17, 2015.

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Google Scholar as a data source for bibliometric analysis

  1. 1. Google Scholar as a data source for bibliometric analysis Nicolás Robinson-Garcia
  2. 2. OBJECTIVES GOOGLE SHOLAR AS A DATA SOURCE FOR BIBLIOMETRIC ANALYSIS   
  3. 3. AGENDA
  4. 4. Main characteristics of Google Scholar
  5. 5. GS AS AN-INFORMATION DISCOVERY TOOL
  6. 6. GS AS AN-INFORMATION DISCOVERY TOOL
  7. 7. GS AS AN-INFORMATION DISCOVERY TOOL
  8. 8. GS AS AN-INFORMATION DISCOVERY TOOL
  9. 9.    GS AS A TOOL FOR RESEARCHERS
  10. 10.  GS AS A TOOL FOR RESEARCHERS
  11. 11.   GS AS A TOOL FOR RESEARCHERS
  12. 12.    GS AS A TOOL FOR RESEARCHERS
  13. 13.     GS AS A TOOL FOR RESEARCHERS
  14. 14. • ALERTS UPDATES LIBRARY + CITE GS AS A TOOL FOR RESEARCHERS
  15. 15. • • • ALERTS 1 2 3
  16. 16. • ALERTS Following Christian’s new papers or citations
  17. 17. • • – – – – – • UPDATES
  18. 18. UPDATES Ok, I have published about these topics, so I may be interested on these papers Ok, this paper cites me so it should be related to my research
  19. 19. • • • • • LIBRARY + CITE •Cite easily from GS results: formats  MLA, APA, Chicago •Get the formatted reference and copy/paste it into a Bibliography.
  20. 20. • • LIBRARY + CITE
  21. 21. The Google Scholar family
  22. 22. • PROFILES METRICS SOURCE FOR BIBLIOMETRIC ANALISYS THE GOOGLE SCHOLAR FAMILY
  23. 23. • • • PROFILES Ranking of researchers by keywords/areas are generated through this classification TIP: there is always a field where you can be the most cited author! 
  24. 24. • • • • • –  PROFILES
  25. 25. CSIC RANKING OF RESEARCHERS ACCORDING TO GSC
  26. 26. UGRinvestiga – The time for bibliometric applications   
  27. 27. UGRinvestiga – The time for bibliometric applications
  28. 28.    UGRinvestiga – The time for bibliometric applications
  29. 29. • Easy to set up (just search for your papers) • Terrific tool for comparing researchers within a field or department • Automatically updated basic bibliometric data • No restrictions on source, language or area • Everyone can measure their performance (and their colleagues') PROFILES • Data can be easily manipulated (a researcher can self-claim non-authored papers) • Can stimulate vanity and ego • Can generate unfair comparisons (for example, researchers from different areas in a single univ) • Can generate unfair analysis by non-bibliometric experts STRENGTHS WEAKNESSES
  30. 30. • • • • • • METRICS
  31. 31. • Free product to compare and rank journals • We can get impact information about non-JCR journals and about national and SSH publications • Transparency: citations for every paper that contributes to the h-index can be checked • High correlation with JCR Impact factor (0.82) • Simple to use and understand by any scholar • Can be easily replicated • Methodological inconsistencies such as comparing journals from different areas • Lack of proper bibliographic control (duplicates, “dirty” data,…) • No selection criteria • No action against data manipulation • No info about new updates (expected to be updated yearly) • Just top results are presented • H index favours journals with high production STRENGTHS WEAKNESSES METRICS
  32. 32. Google Scholar, a bibliometric data source?
  33. 33. GETTING THE FACTS STRAIGHT     х х х х
  34. 34. GETTING THE FACTS STRAIGHT
  35. 35. GETTING THE FACTS STRAIGHT
  36. 36. •  • JOURNALS Cabezas & Delgado (2013) Harzing & der Wal (2009) GETTING THE FACTS STRAIGHT
  37. 37. GETTING THE FACTS STRAIGHT
  38. 38. • • • GETTING THE FACTS STRAIGHT
  39. 39. SO, CAN I USE IT OR NOT?
  40. 40. SO, CAN I USE IT OR NOT?    
  41. 41. HOW CAN I USE GS?
  42. 42. HOW CAN I USE GS?
  43. 43. SOME PRODUCTS BASED ON GS Research Authors Publishers Holistic analysis model Applied to Library & Information Sciences in Spain http://www.biblioteconomia-documentacion-española.infoec3.es/
  44. 44. Conclusions
  45. 45. THE CRITICAL VIEW    
  46. 46.      THE OPTIMISTIC VIEW
  47. 47.   ‐ ‐ ‐  ‐    FURTHER READINGS
  48. 48. Thank you! elrobin@ugr.es wdb.ugr.es/~elrobin

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