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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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    1. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    2. Nick Haslam & Lauren Ban & Leah Kaufmann & Stephen Loughnan & Kim Peters & Jennifer Whelan & Sam Wilson, 2008. "What makes an article influential? Predicting impact in social and personality psychology," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(1), pages 169-185, July.
    3. Hendrik P. Van Dalen & Kène Henkens, 2001. "What makes a scientific article influential? The case of demographers," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(3), pages 455-482, March.
    4. Anthony F. J. van Raan, 2004. "Sleeping Beauties in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 467-472, March.
    5. Teja Tscharntke & Michael E Hochberg & Tatyana A Rand & Vincent H Resh & Jochen Krauss, 2007. "Author Sequence and Credit for Contributions in Multiauthored Publications," PLOS Biology, Public Library of Science, vol. 5(1), pages 1-2, January.
    6. Lawrence D. Fu & Constantin F. Aliferis, 2010. "Using content-based and bibliometric features for machine learning models to predict citation counts in the biomedical literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 257-270, October.
    7. András Schubert & András Korn & András Telcs, 2009. "Hirsch-type indices for characterizing networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 375-382, February.
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    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. 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.

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