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The Holy Grail of science policy: Exploring and combining bibliometric tools in search of scientific excellence

Citations

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Cited by:

  1. Pedro Albarrán & Ignacio Ortuño & Javier Ruiz-Castillo, 2011. "Average-based versus high- and low-impact indicators for the evaluation of scientific distributions," Research Evaluation, Oxford University Press, vol. 20(4), pages 325-339, October.
  2. Domingo Docampo & Lawrence Cram, 2019. "Highly cited researchers: a moving target," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1011-1025, March.
  3. Christoph Neuhaus & Andreas Litscher & Hans-Dieter Daniel, 2007. "Using scripts to streamline citation analysis on STN International," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(1), pages 145-150, April.
  4. Rodrigo Costas & Thed N. Leeuwen & María Bordons, 2010. "Self-citations at the meso and individual levels: effects of different calculation methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 517-537, March.
  5. Weishu Liu & Mengdi Gu & Guangyuan Hu & Chao Li & Huchang Liao & Li Tang & Philip Shapira, 2014. "Profile of developments in biomass-based bioenergy research: a 20-year perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 507-521, May.
  6. Sten F Odenwald, 2020. "A citation study of earth science projects in citizen science," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-26, July.
  7. Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Léopold, 2015. "Rankings and university performance: A conditional multidimensional approach," European Journal of Operational Research, Elsevier, vol. 244(3), pages 918-930.
  8. Liping, Yu & Yuqing, Chen & Yuntao, Pan & Yishan, Wu, 2009. "Research on the evaluation of academic journals based on structural equation modeling," Journal of Informetrics, Elsevier, vol. 3(4), pages 304-311.
  9. Marcella Corsi & Carlo D'Ippoliti & Federico Lucidi, 2011. "On the Evaluation of Economic Research: The Case of Italy," Economia politica, Società editrice il Mulino, issue 3, pages 369-402.
  10. Shahryar Rahnamayan & Sedigheh Mahdavi & Kalyanmoy Deb & Azam Asilian Bidgoli, 2020. "Ranking Multi-Metric Scientific Achievements Using a Concept of Pareto Optimality," Mathematics, MDPI, vol. 8(6), pages 1-46, June.
  11. Hui Fang, 2023. "A modification of citation-based journal indexes," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1119-1132, February.
  12. Tânia F. G. G. Cova & Alberto A. C. C. Pais & Sebastião J. Formosinho, 2013. "Iberian universities: a characterisation from ESI rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1239-1251, March.
  13. Primož Južnič & Stojan Pečlin & Matjaž Žaucer & Tilen Mandelj & Miro Pušnik & Franci Demšar, 2010. "Scientometric indicators: peer-review, bibliometric methods and conflict of interests," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 429-441, November.
  14. Bárbara S. Lancho-Barrantes & Vicente P. Guerrero-Bote & Félix Moya-Anegón, 2010. "The iceberg hypothesis revisited," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 443-461, November.
  15. A. Baccini & L. Barabesi & M. Cioni & C. Pisani, 2014. "Crossing the hurdle: the determinants of individual scientific performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 2035-2062, December.
  16. Marcello D’Agostino & Valentino Dardanoni & Roberto Ghiselli Ricci, 2017. "How to standardize (if you must)," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 825-843, November.
  17. Rodrigo Costas & María Bordons, 2008. "Is g-index better than h-index? An exploratory study at the individual level," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 267-288, November.
  18. Tang, Li, 2013. "Does “birds of a feather flock together” matter—Evidence from a longitudinal study on US–China scientific collaboration," Journal of Informetrics, Elsevier, vol. 7(2), pages 330-344.
  19. Anand Bihari & Sudhakar Tripathi, 2017. "EM-index: a new measure to evaluate the scientific impact of scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 659-677, July.
  20. Lauranne Chaignon & Domingo Docampo & Daniel Egret, 2023. "In search of a scientific elite: highly cited researchers (HCR) in France," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5801-5827, October.
  21. Ernesto Galbán-Rodríguez & Deborah Torres-Ponjuán & Ricardo Arencibia-Jorge, 2021. "Multidimensional quantitative analysis of the Cuban scientific output and its regional context," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2643-2665, March.
  22. Vincent Larivière & Rodrigo Costas, 2016. "How Many Is Too Many? On the Relationship between Research Productivity and Impact," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-10, September.
  23. Christoph Neuhaus & Hans-Dieter Daniel, 2009. "A new reference standard for citation analysis in chemistry and related fields based on the sections of Chemical Abstracts," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 219-229, February.
  24. Gideon Baffoe & Keith Kintrea, 2022. "Towards Understanding the Landscapes of Neighbourhood Research: An Insight from Bibliometric Analysis," Sustainability, MDPI, vol. 14(5), pages 1-16, March.
  25. Vicente P. Guerrero-Bote & Felipe Zapico-Alonso & María Eugenia Espinosa-Calvo & Rocío Gómez-Crisóstomo & Félix Moya-Anegón, 2007. "Import-export of knowledge between scientific subject categories: The iceberg hypothesis," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 423-441, June.
  26. Richard S.J. Tol, 2013. "Measuring catch-up growth in malnourished populations," Working Paper Series 6013, Department of Economics, University of Sussex Business School.
  27. Rigby, J. & Edler, J., 2005. "Peering inside research networks: Some observations on the effect of the intensity of collaboration on the variability of research quality," Research Policy, Elsevier, vol. 34(6), pages 784-794, August.
  28. Tahamtan, Iman & Bornmann, Lutz, 2018. "Creativity in science and the link to cited references: Is the creative potential of papers reflected in their cited references?," Journal of Informetrics, Elsevier, vol. 12(3), pages 906-930.
  29. Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Di Costa, 2009. "Mapping Excellence in National Research Systems," Evaluation Review, , vol. 33(2), pages 159-188, April.
  30. Anand Bihari & Sudhakar Tripathi & Akshay Deepak, 2021. "Iterative weighted EM and iterative weighted EM′-index for scientific assessment of scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5551-5568, July.
  31. Albarrán, Pedro & Crespo, Juan A. & Ortuño, Ignacio & Ruiz-Castillo, Javier, 2009. "A comparison of the scientific performance of the U. S. and the European Union at the turn of the XXI century," UC3M Working papers. Economics we095534, Universidad Carlos III de Madrid. Departamento de Economía.
  32. S. Alonso & F. J. Cabrerizo & E. Herrera-Viedma & F. Herrera, 2010. "hg-index: a new index to characterize the scientific output of researchers based on the h- and g-indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 391-400, February.
  33. Franceschini, Fiorenzo & Maisano, Domenico, 2010. "The citation triad: An overview of a scientist's publication output based on Ferrers diagrams," Journal of Informetrics, Elsevier, vol. 4(4), pages 503-511.
  34. Mauricio Uriona-Maldonado & Raimundo N. M. Santos & Gregorio Varvakis, 2012. "State of the art on the Systems of Innovation research: a bibliometrics study up to 2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 977-996, June.
  35. Boglárka Németh & Károly Németh & Jon N. Procter, 2021. "Informed Geoheritage Conservation: Determinant Analysis Based on Bibliometric and Sustainability Indicators Using Ordination Techniques," Land, MDPI, vol. 10(5), pages 1-31, May.
  36. Vîiu, Gabriel-Alexandru, 2017. "Disaggregated research evaluation through median-based characteristic scores and scales: a comparison with the mean-based approach," Journal of Informetrics, Elsevier, vol. 11(3), pages 748-765.
  37. Ruimin Ma & Chaoqun Ni & Junping Qiu, 2008. "Scientific research competitiveness of world universities in computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 245-260, August.
  38. Javier Ruiz-Castillo, 2012. "The evaluation of citation distributions," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 3(1), pages 291-310, March.
  39. Kulczycki, Emanuel & Korzeń, Marcin & Korytkowski, Przemysław, 2017. "Toward an excellence-based research funding system: Evidence from Poland," Journal of Informetrics, Elsevier, vol. 11(1), pages 282-298.
  40. Keilla Dayane Silva-Oliveira & Edson Keyso Miranda Kubo & Michael J. Morley & Rodrigo Médici Cândido, 2021. "Emerging Economy Inward and Outward Foreign Direct Investment: A Bibliometric and Thematic Content Analysis," Management International Review, Springer, vol. 61(5), pages 643-679, October.
  41. Kristof Witte & Nicky Rogge, 2010. "To publish or not to publish? On the aggregation and drivers of research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 657-680, December.
  42. Tol, Richard S.J., 2013. "Identifying excellent researchers: A new approach," Journal of Informetrics, Elsevier, vol. 7(4), pages 803-810.
  43. Isabel Basson & Jaco P. Blanckenberg & Heidi Prozesky, 2021. "Do open access journal articles experience a citation advantage? Results and methodological reflections of an application of multiple measures to an analysis by WoS subject areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 459-484, January.
  44. Dzikowski, Piotr, 2018. "A bibliometric analysis of born global firms," Journal of Business Research, Elsevier, vol. 85(C), pages 281-294.
  45. Saralees Nadarajah & Samuel Kotz, 2007. "Models for citation behavior," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 291-305, August.
  46. Albarrán, Pedro & Ortuño, Ignacio & Ruiz-Castillo, Javier, 2011. "High- and low-impact citation measures: Empirical applications," Journal of Informetrics, Elsevier, vol. 5(1), pages 122-145.
  47. Lorna Wildgaard & Jesper W. Schneider & Birger Larsen, 2014. "A review of the characteristics of 108 author-level bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 125-158, October.
  48. Albarrán, Pedro & Ortuño, Ignacio & Ruiz-Castillo, Javier, 2011. "The measurement of low- and high-impact in citation distributions: Technical results," Journal of Informetrics, Elsevier, vol. 5(1), pages 48-63.
  49. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
  50. Alberto Baccini & Lucio Barabesi & Martina Cioni & Caterina Pisani, 2013. "Crossing the hurdle: the determinants of individual scientific performance," Department of Economics University of Siena 691, Department of Economics, University of Siena.
  51. Rodríguez-Navarro, Alonso & Brito, Ricardo, 2018. "Technological research in the EU is less efficient than the world average. EU research policy risks Europeans’ future," Journal of Informetrics, Elsevier, vol. 12(3), pages 718-731.
  52. Andrea Bonaccorsi & Tindaro Cicero & Peter Haddawy & Saeed-UL Hassan, 2017. "Explaining the transatlantic gap in research excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 217-241, January.
  53. Hui Fang, 2020. "Investigating the journal impact along the columns and rows of the publication-citation matrix," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2265-2282, December.
  54. Pedro Albarrán & Juan A. Crespo & Ignacio Ortuño & Javier Ruiz-Castillo, 2010. "A comparison of the scientific performance of the U.S. and the European union at the turn of the 21st century," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 329-344, October.
  55. Ludo Waltman & Michael Schreiber, 2013. "On the calculation of percentile-based bibliometric indicators," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 372-379, February.
  56. Adam Emmer, 2019. "The careers behind and the impact of solo author articles in Nature and Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 825-840, August.
  57. Cho, Ilgu, 2012. "Assessing a relative technological competitiveness using patent and paper information at the country level: Model and application in mobile communications," 23rd European Regional ITS Conference, Vienna 2012 60395, International Telecommunications Society (ITS).
  58. Giovanni Abramo & Ciriaco Andrea D’Angelo & Fulvio Viel, 2011. "The field-standardized average impact of national research systems compared to world average: the case of Italy," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 599-615, August.
  59. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
  60. Waltman, Ludo & van Eck, Nees Jan, 2013. "A systematic empirical comparison of different approaches for normalizing citation impact indicators," Journal of Informetrics, Elsevier, vol. 7(4), pages 833-849.
  61. Wang, Qiang & Li, Rongrong & He, Gang, 2018. "Research status of nuclear power: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 90-96.
  62. Francisco González-Sala & Julia Osca-Lluch & Julia Haba-Osca, 2019. "Are journal and author self-citations a visibility strategy?," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1345-1364, June.
  63. Ludo Waltman & Erjia Yan & Nees Jan Eck, 2011. "A recursive field-normalized bibliometric performance indicator: an application to the field of library and information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 301-314, October.
  64. Pislyakov, Vladimir, 2022. "On some properties of medians, percentiles, baselines, and thresholds in empirical bibliometric analysis," Journal of Informetrics, Elsevier, vol. 16(4).
  65. Franc Mali, 2013. "Why an Unbiased External R&D Evaluation System is Important for the Progress of Social Sciences—the Case of a Small Social Science Community," Social Sciences, MDPI, vol. 2(4), pages 1-14, December.
  66. Costas, Rodrigo & Bordons, María, 2007. "The h-index: Advantages, limitations and its relation with other bibliometric indicators at the micro level," Journal of Informetrics, Elsevier, vol. 1(3), pages 193-203.
  67. Alonso, S. & Cabrerizo, F.J. & Herrera-Viedma, E. & Herrera, F., 2009. "h-Index: A review focused in its variants, computation and standardization for different scientific fields," Journal of Informetrics, Elsevier, vol. 3(4), pages 273-289.
  68. Andrea Bonaccorsi & Cinzia Daraio, 2014. "Beyond university rankings ? Generating new indicators on European universities by linking data in open platforms," DIAG Technical Reports 2014-12, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
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