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Characterizing and Modeling Citation Dynamics

Citations

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Cited by:

  1. Peng, Tai-Quan, 2015. "Assortative mixing, preferential attachment, and triadic closure: A longitudinal study of tie-generative mechanisms in journal citation networks," Journal of Informetrics, Elsevier, vol. 9(2), pages 250-262.
  2. Bernardo Monechi & Ãlvaro Ruiz-Serrano & Francesca Tria & Vittorio Loreto, 2017. "Waves of novelties in the expansion into the adjacent possible," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-18, June.
  3. Antonia Gogoglou & Antonis Sidiropoulos & Dimitrios Katsaros & Yannis Manolopoulos, 2017. "The fractal dimension of a citation curve: quantifying an individual’s scientific output using the geometry of the entire curve," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1751-1774, June.
  4. Ren, Fu-Xin & Shen, Hua-Wei & Cheng, Xue-Qi, 2012. "Modeling the clustering in citation networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(12), pages 3533-3539.
  5. Patelli, Aurelio & Napolitano, Lorenzo & Cimini, Giulio & Gabrielli, Andrea, 2023. "Geography of science: Competitiveness and inequality," Journal of Informetrics, Elsevier, vol. 17(1).
  6. Gianluca Manzo & Delia Baldassarri, 2015. "Heuristics, Interactions, and Status Hierarchies," Sociological Methods & Research, , vol. 44(2), pages 329-387, May.
  7. Jorge A. V. Tohalino & Laura V. C. Quispe & Diego R. Amancio, 2021. "Analyzing the relationship between text features and grants productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4255-4275, May.
  8. Thelwall, Mike, 2016. "Citation count distributions for large monodisciplinary journals," Journal of Informetrics, Elsevier, vol. 10(3), pages 863-874.
  9. Huo, Jie & Wang, Xu-Ming & Zhao, Ning & Hao, Rui, 2016. "Statistical characteristics of dynamics for population migration driven by the economic interests," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 123-134.
  10. Antonio Protic & Biserka Runje & Josip Stepanic, 2013. "Distribution of Citations in one Volume of a Journal," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(2), pages 227-237.
  11. Sidiropoulos, A. & Gogoglou, A. & Katsaros, D. & Manolopoulos, Y., 2016. "Gazing at the skyline for star scientists," Journal of Informetrics, Elsevier, vol. 10(3), pages 789-813.
  12. S. R. Goldberg & H. Anthony & T. S. Evans, 2015. "Modelling citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1577-1604, December.
  13. Michal Brzezinski, 2015. "Power laws in citation distributions: evidence from Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 213-228, April.
  14. 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.
  15. Xiaojing Cai & Xiaozan Lyu & Ping Zhou, 2023. "The relationship between interdisciplinarity and citation impact—a novel perspective on citation accumulation," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
  16. Adilson Vital & Diego R. Amancio, 2022. "A comparative analysis of local similarity metrics and machine learning approaches: application to link prediction in author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 6011-6028, October.
  17. Thelwall, Mike, 2016. "The precision of the arithmetic mean, geometric mean and percentiles for citation data: An experimental simulation modelling approach," Journal of Informetrics, Elsevier, vol. 10(1), pages 110-123.
  18. 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.
  19. Mike Thelwall, 2016. "Interpreting correlations between citation counts and other indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 337-347, July.
  20. Brito, Ana C.M. & Silva, Filipi N. & Amancio, Diego R., 2021. "Associations between author-level metrics in subsequent time periods," Journal of Informetrics, Elsevier, vol. 15(4).
  21. Wu, Yan & Fu, Tom Z.J. & Chiu, Dah Ming, 2014. "Generalized preferential attachment considering aging," Journal of Informetrics, Elsevier, vol. 8(3), pages 650-658.
  22. Tóth, István & Lázár, Zsolt I. & Varga, Levente & Járai-Szabó, Ferenc & Papp, István & Florian, Răzvan V. & Ercsey-Ravasz, Mária, 2021. "Mitigating ageing bias in article level metrics using citation network analysis," Journal of Informetrics, Elsevier, vol. 15(1).
  23. Tol, Richard S.J., 2013. "The Matthew effect for cohorts of economists," Journal of Informetrics, Elsevier, vol. 7(2), pages 522-527.
  24. Xie, Zheng & Ouyang, Zhenzheng & Liu, Qi & Li, Jianping, 2016. "A geometric graph model for citation networks of exponentially growing scientific papers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 167-175.
  25. Michaël Charles Waumans & Hugues Bersini, 2016. "Genealogical Trees of Scientific Papers," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-15, March.
  26. Ren, Zhuo-Ming & Shi, Yu-Qiang & Liao, Hao, 2016. "Characterizing popularity dynamics of online videos," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 453(C), pages 236-241.
  27. Thelwall, Mike, 2016. "Are there too many uncited articles? Zero inflated variants of the discretised lognormal and hooked power law distributions," Journal of Informetrics, Elsevier, vol. 10(2), pages 622-633.
  28. Thelwall, Mike, 2016. "Are the discretised lognormal and hooked power law distributions plausible for citation data?," Journal of Informetrics, Elsevier, vol. 10(2), pages 454-470.
  29. Peng Zhang & Menghui Li & Liang Gao & Ying Fan & Zengru Di, 2014. "Characterizing and Modeling the Dynamics of Activity and Popularity," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-9, February.
  30. Angelou, Konstantinos & Maragakis, Michael & Argyrakis, Panos, 2019. "A structural analysis of the patent citation network by the k-shell decomposition method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 476-483.
  31. Ho Fai Chan & Malka Guillot & Lionel Page & Benno Torgler, 2015. "The inner quality of an article: Will time tell?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 19-41, July.
  32. Lina M. Cortés & Andrés Mora-Valencia & Javier Perote, 2016. "The productivity of top researchers: a semi-nonparametric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 891-915, November.
  33. Cena, Anna & Gagolewski, Marek & Siudem, Grzegorz & Żogała-Siudem, Barbara, 2022. "Validating citation models by proxy indices," Journal of Informetrics, Elsevier, vol. 16(2).
  34. Xiaorui Jiang & Xiaoping Sun & Hai Zhuge, 2013. "Graph-based algorithms for ranking researchers: not all swans are white!," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 743-759, September.
  35. T. S. Evans & N. Hopkins & B. S. Kaube, 2012. "Universality of performance indicators based on citation and reference counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 473-495, November.
  36. Thelwall, Mike, 2016. "The discretised lognormal and hooked power law distributions for complete citation data: Best options for modelling and regression," Journal of Informetrics, Elsevier, vol. 10(2), pages 336-346.
  37. Clough, James R. & Evans, Tim S., 2016. "What is the dimension of citation space?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 448(C), pages 235-247.
  38. T. Ciano & P. Fotia & B. A. Pansera & M. Ferrara, 2021. "Inventors Dynamics in Balkanic Area: Evidences by a Network Analysis," Economics of Science, Delo Publishing house, vol. 7(4).
  39. Yin, Yian & Wang, Dashun, 2017. "The time dimension of science: Connecting the past to the future," Journal of Informetrics, Elsevier, vol. 11(2), pages 608-621.
  40. B Ian Hutchins & Xin Yuan & James M Anderson & George M Santangelo, 2016. "Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level," PLOS Biology, Public Library of Science, vol. 14(9), pages 1-25, September.
  41. Jaime A. Teixeira da Silva, 2021. "The i100-index, i1000-index and i10,000-index: expansion and fortification of the Google Scholar h-index for finer-scale citation descriptions and researcher classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3667-3672, April.
  42. Cao, Xuanyu & Chen, Yan & Ray Liu, K.J., 2016. "A data analytic approach to quantifying scientific impact," Journal of Informetrics, Elsevier, vol. 10(2), pages 471-484.
  43. Michel Zitt, 2015. "Meso-level retrieval: IR-bibliometrics interplay and hybrid citation-words methods in scientific fields delineation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2223-2245, March.
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