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What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018

Citations

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

  1. Erin Leahey & Jina Lee & Russell J. Funk, 2023. "What Types of Novelty Are Most Disruptive?," American Sociological Review, , vol. 88(3), pages 562-597, June.
  2. Bornmann, Lutz & Haunschild, Robin & Mutz, Rüdiger, 2020. "Should citations be field-normalized in evaluative bibliometrics? An empirical analysis based on propensity score matching," Journal of Informetrics, Elsevier, vol. 14(4).
  3. Frederique Bordignon, 2022. "Critical citations in knowledge construction and citation analysis: from paradox to definition," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 959-972, February.
  4. Hu, Beibei & Ding, Yang & Dong, Xianlei & Bu, Yi & Ding, Ying, 2021. "On the relationship between download and citation counts: An introduction of Granger-causality inference," Journal of Informetrics, Elsevier, vol. 15(2).
  5. António Osório & Lutz Bornmann, 2021. "On the disruptive power of small-teams research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 117-133, January.
  6. Libo Sheng & Dongqing Lyu & Xuanmin Ruan & Hongquan Shen & Ying Cheng, 2023. "The association between prior knowledge and the disruption of an article," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4731-4751, August.
  7. Cristian Mejia & Yuya Kajikawa, 2021. "The Academic Landscapes of Manufacturing Enterprise Performance and Environmental Sustainability: A Study of Commonalities and Differences," IJERPH, MDPI, vol. 18(7), pages 1-16, March.
  8. Xiaorui Jiang & Jingqiang Chen, 2023. "Contextualised segment-wise citation function classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5117-5158, September.
  9. Matthias Sebastian Rüdiger & David Antons & Torsten-Oliver Salge, 2021. "The explanatory power of citations: a new approach to unpacking impact in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9779-9809, December.
  10. Klaus Wohlrabe & Lutz Bornmann, 2022. "Alphabetized co-authorship in economics reconsidered," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2173-2193, May.
  11. Jaime A. Teixeira da Silva & Serhii Nazarovets, 2023. "Partial citation analysis of five classes of retracted papers, and devising a new four-tier citation classification system for retracted (and other) papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4887-4894, August.
  12. Stefano Mammola & Elena Piano & Alberto Doretto & Enrico Caprio & Dan Chamberlain, 2022. "Measuring the influence of non-scientific features on citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4123-4137, July.
  13. Paulo Henrique Santos Gonçalves & Thiago Gonçalves-Souza & Ulysses Paulino Albuquerque, 2020. "Chronic anthropogenic disturbances in ecology: a bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 1103-1117, May.
  14. Kai Nishikawa, 2023. "How and why are citations between disciplines made? A citation context analysis focusing on natural sciences and social sciences and humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2975-2997, May.
  15. Teplitskiy, Misha & Duede, Eamon & Menietti, Michael & Lakhani, Karim R., 2022. "How status of research papers affects the way they are read and cited," Research Policy, Elsevier, vol. 51(4).
  16. Lutz Bornmann & K. Brad Wray & Robin Haunschild, 2020. "Citation concept analysis (CCA): a new form of citation analysis revealing the usefulness of concepts for other researchers illustrated by exemplary case studies including classic books by Thomas S. K," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1051-1074, February.
  17. Klaus Wohlrabe & Constantin Bürgi, 2021. "What is the benefit from publishing a working paper in a journal in terms of citations? Evidence from economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4701-4714, June.
  18. Juan Xie & Hongru Lu & Lele Kang & Ying Cheng, 2022. "Citing criteria and its effects on researcher's intention to cite: A mixed‐method study," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1079-1091, August.
  19. Misha Teplitskiy & Soya Park & Neil Thompson & David Karger, 2022. "Intentional and serendipitous diffusion of ideas: Evidence from academic conferences," Papers 2209.01175, arXiv.org, revised Jan 2024.
  20. Gabriela Grosseck & Laurențiu Gabriel Țîru & Ramona Alice Bran, 2019. "Education for Sustainable Development: Evolution and Perspectives: A Bibliometric Review of Research, 1992–2018," Sustainability, MDPI, vol. 11(21), pages 1-35, November.
  21. Kiran Sharma & Parul Khurana, 2021. "Growth and dynamics of Econophysics: a bibliometric and network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4417-4436, May.
  22. Sergey Parinov, 2021. "Citation contexts as a data source for evaluation of scholarly consumption," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9249-9265, November.
  23. Sergiu Mihai Haţegan, 2021. "A Mapping Of The Literature On Econophysics," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 92-100, July.
  24. Constantin Bürgi & Klaus Wohlrabe, 2022. "The influence of Covid-19 on publications in economics: bibliometric evidence from five working paper series," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5175-5189, September.
  25. Martin Szomszor & David A. Pendlebury & Jonathan Adams, 2020. "How much is too much? The difference between research influence and self-citation excess," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 1119-1147, May.
  26. Weibin Lin & Xianli Wu & Zhengwei Wang & Xiaoji Wan & Hailin Li, 2022. "Topic Network Analysis Based on Co-Occurrence Time Series Clustering," Mathematics, MDPI, vol. 10(16), pages 1-17, August.
  27. Evelyn Eika & Frode Eika Sandnes, 2022. "Starstruck by journal prestige and citation counts? On students’ bias and perceptions of trustworthiness according to clues in publication references," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6363-6390, November.
  28. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
  29. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Grilli, Leonardo, 2021. "The effects of citation-based research evaluation schemes on self-citation behavior," Journal of Informetrics, Elsevier, vol. 15(4).
  30. Busrul Iman & Imam Yuadi & Badri Munir Sukoco & Rudi Purwono & Chih-Chien Hu, 2023. "Mapping Research Trends With Factorial Analysis in Organizational Politics," SAGE Open, , vol. 13(4), pages 21582440231, December.
  31. Heng Huang & Donghua Zhu & Xuefeng Wang, 2022. "Evaluating scientific impact of publications: combining citation polarity and purpose," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5257-5281, September.
  32. Zhang, Xinyuan & Xie, Qing & Song, Min, 2021. "Measuring the impact of novelty, bibliometric, and academic-network factors on citation count using a neural network," Journal of Informetrics, Elsevier, vol. 15(2).
  33. Setio Basuki & Masatoshi Tsuchiya, 2022. "SDCF: semi-automatically structured dataset of citation functions," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4569-4608, August.
  34. Marginson, Simon, 2021. "National modernisation and global science in China," International Journal of Educational Development, Elsevier, vol. 84(C).
  35. Gössling, Stefan & Moyle, Brent D. & Weaver, David, 2021. "Academic entrepreneurship: A bibliometric engagement model," Annals of Tourism Research, Elsevier, vol. 90(C).
  36. Sehrish Iqbal & Saeed-Ul Hassan & Naif Radi Aljohani & Salem Alelyani & Raheel Nawaz & Lutz Bornmann, 2021. "A decade of in-text citation analysis based on natural language processing and machine learning techniques: an overview of empirical studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6551-6599, August.
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