IDEAS home Printed from https://ideas.repec.org/r/spr/scient/v96y2013i1d10.1007_s11192-012-0898-z.html
   My bibliography  Save this item

Opinion paper: thoughts and facts on bibliometric indicators

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Rodríguez-Navarro, Alonso & Brito, Ricardo, 2018. "Double rank analysis for research assessment," Journal of Informetrics, Elsevier, vol. 12(1), pages 31-41.
  2. Sergio Ochoa Jiménez & Alma Rocío García García & Sacnicté Valdez del Río & Carlos Armando Jacobo Hernández, 2022. "Entrepreneurship in Tourism Studies in the 21st Century: A Bibliometric Study of Wos and Scopus," SAGE Open, , vol. 12(2), pages 21582440221, June.
  3. Günter Krampen & Peter Weiland & Jürgen Wiesenhütter, 2015. "Citation success of different publication types: a case study on all references in psychology publications from the German-speaking countries (D–A–CH–L–L) in 2009, 2010, and 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 827-840, September.
  4. Adams, Jonathan, 2018. "Information and misinformation in bibliometric time-trend analysis," Journal of Informetrics, Elsevier, vol. 12(4), pages 1063-1071.
  5. Qing Cheng & Xin Lu & Zhong Liu & Jincai Huang, 2015. "Mining research trends with anomaly detection models: the case of social computing research," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 453-469, May.
  6. L'aszl'o Csat'o & D'ora Gr'eta Petr'oczy, 2020. "Bibliometric indices as a measure of performance and competitive balance in the knockout stage of the UEFA Champions League," Papers 2005.13416, arXiv.org, revised Sep 2023.
  7. Bouyssou, Denis & Marchant, Thierry, 2014. "An axiomatic approach to bibliometric rankings and indices," Journal of Informetrics, Elsevier, vol. 8(3), pages 449-477.
  8. Laura Vana & Ronald Hochreiter & Kurt Hornik, 2016. "Computing a journal meta-ranking using paired comparisons and adaptive lasso estimators," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 229-251, January.
  9. Cristian Colliander & Per Ahlgren, 2019. "Comparison of publication-level approaches to ex-post citation normalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 283-300, July.
  10. Cinzia Daraio, 2017. "A framework for the Assessment of Research and its impacts," DIAG Technical Reports 2017-04, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
  11. Copiello, Sergio, 2019. "Peer and neighborhood effects: Citation analysis using a spatial autoregressive model and pseudo-spatial data," Journal of Informetrics, Elsevier, vol. 13(1), pages 238-254.
  12. Domenico A. Maisano & Luca Mastrogiacomo & Fiorenzo Franceschini, 2023. "Empirical evidence on the relationship between research and teaching in academia," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4475-4507, August.
  13. Gordon Rogers & Martin Szomszor & Jonathan Adams, 2020. "Sample size in bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 777-794, October.
  14. Zhesi Shen & Liying Yang & Zengru Di & Jinshan Wu, 2019. "Large enough sample size to rank two groups of data reliably according to their means," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 653-671, February.
  15. Yue Chen & Zhiqi Wang & Kai Song & Deming Lin & Hildrun Kretschmer, 2021. "Growing with collaboration: footprint of WISE Lab," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6147-6167, July.
  16. L'aszl'o Csat'o, 2019. "Journal ranking should depend on the level of aggregation," Papers 1904.06300, arXiv.org, revised Sep 2019.
  17. Ashraf Uddin & Jaideep Bhoosreddy & Marisha Tiwari & Vivek Kumar Singh, 2016. "A Sciento-text framework to characterize research strength of institutions at fine-grained thematic area level," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1135-1150, March.
  18. Wolfgang Glänzel, 2013. "High-end performance or outlier? Evaluating the tail of scientometric distributions," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(1), pages 13-23, October.
  19. Beerkens, Maarja, 2013. "Facts and fads in academic research management: The effect of management practices on research productivity in Australia," Research Policy, Elsevier, vol. 42(9), pages 1679-1693.
  20. Jinshan Wu, 2018. "Is there an intrinsic logical error in null hypothesis significance tests? Commentary on: “Null hypothesis significance tests. A mix-up of two different theories: the basis for widespread confusion an," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 621-625, April.
  21. Donner, Paul & Aman, Valeria, 2015. "Quantilbasierte Indikatoren für Impact und Publikationsstrategie: Ergebnisse für Deutschland in allen Fachdisziplinen in den Jahren 2000 bis 2011," Studien zum deutschen Innovationssystem 8-2015, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
  22. Lawrence Smolinsky & Aaron Lercher & Andrew McDaniel, 2015. "Testing theories of preferential attachment in random networks of citations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 2132-2145, October.
  23. Manjari Manisha & G. Mahesh, 2014. "Bibliometric characteristics of champion works of China and India," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1101-1111, February.
  24. Csató, László, 2019. "Journal ranking should depend on the level of aggregation," Journal of Informetrics, Elsevier, vol. 13(4).
  25. Henk F. Moed, 2016. "Comprehensive indicator comparisons intelligible to non-experts: the case of two SNIP versions," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 51-65, January.
  26. Gangan Prathap, 2014. "Single parameter indices and bibliometric outliers," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1781-1787, December.
  27. Bornmann, Lutz & Leydesdorff, Loet, 2017. "Skewness of citation impact data and covariates of citation distributions: A large-scale empirical analysis based on Web of Science data," Journal of Informetrics, Elsevier, vol. 11(1), pages 164-175.
  28. Yurij L. Katchanov & Yulia V. Markova, 2017. "The “space of physics journals”: topological structure and the Journal Impact Factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 313-333, October.
  29. Sumeer Gul & Nahida Tun Nisa & Tariq Ahmad Shah & Sangita Gupta & Asifa Jan & Suhail Ahmad, 2015. "Middle East: research productivity and performance across nations," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1157-1166, November.
  30. Yves Fassin, 2020. "The HF-rating as a universal complement to the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 965-990, November.
  31. Wolfgang Glänzel & Bart Thijs & Pei-Shan Chi, 2016. "The challenges to expand bibliometric studies from periodical literature to monographic literature with a new data source: the book citation index," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2165-2179, December.
  32. M. Ryan Haley, 2020. "Combining the weighted and unweighted Euclidean indices: a graphical approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 103-111, April.
  33. Antonoyiannakis, Manolis, 2018. "Impact Factors and the Central Limit Theorem: Why citation averages are scale dependent," Journal of Informetrics, Elsevier, vol. 12(4), pages 1072-1088.
  34. Wildgaard, Lorna, 2016. "A critical cluster analysis of 44 indicators of author-level performance," Journal of Informetrics, Elsevier, vol. 10(4), pages 1055-1078.
  35. Dorte Henriksen, 2018. "What factors are associated with increasing co-authorship in the social sciences? A case study of Danish Economics and Political Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1395-1421, March.
  36. Boris Forthmann & Philipp Doebler, 2021. "Reliability of researcher capacity estimates and count data dispersion: a comparison of Poisson, negative binomial, and Conway-Maxwell-Poisson models," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3337-3354, April.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.