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Predicting citation patterns: defining and determining influence

Author

Listed:
  • David Guy Brizan

    (CUNY and CUNY Graduate Center)

  • Kevin Gallagher

    (NYU Tandon School of Engineering)

  • Arnab Jahangir

    (Hunter College CUNY)

  • Theodore Brown

    (CUNY and CUNY Graduate Center)

Abstract

Definitions for influence in bibliometrics are surveyed and expanded upon in this work. On data composed of the union of DBLP and CiteSeer x , approximately 6 million publications, a relatively small number of features are developed to describe the set, including loyalty and community longevity, two novel features. These features are successfully used to predict the influential set of papers in a series of machine learning experiments. The most predictive features are highlighted and discussed.

Suggested Citation

  • David Guy Brizan & Kevin Gallagher & Arnab Jahangir & Theodore Brown, 2016. "Predicting citation patterns: defining and determining influence," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 183-200, July.
    • Handle: RePEc:spr:scient:v:108:y:2016:i:1:d:10.1007_s11192-016-1950-1
    DOI: 10.1007/s11192-016-1950-1
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    References listed on IDEAS

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    Cited by:

    1. Babak Sohrabi & Hamideh Iraj, 2017. "The effect of keyword repetition in abstract and keyword frequency per journal in predicting citation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 243-251, January.
    2. Feiheng Luo & Aixin Sun & Mojisola Erdt & Aravind Sesagiri Raamkumar & Yin-Leng Theng, 2018. "Exploring prestigious citations sourced from top universities in bibliometrics and altmetrics: a case study in the computer science discipline," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 1-17, January.
    3. Maor Weinberger & Maayan Zhitomirsky-Geffet, 2021. "Diversity of success: measuring the scholarly performance diversity of tenured professors in the Israeli academia," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2931-2970, April.
    4. Svitlana Petrasova & Nina Khairova & Włodzimierz Lewoniewski & Orken Mamyrbayev & Kuralay Mukhsina, 2018. "Similar Text Fragments Extraction for Identifying Common Wikipedia Communities," Data, MDPI, vol. 3(4), pages 1-9, December.
    5. Wanjun Xia & Tianrui Li & Chongshou Li, 2023. "A review of scientific impact prediction: tasks, features and methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 543-585, January.

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