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The greatest co-authorships of finance theory literature (1896–2006): scientometrics based on complex networks

Author

Listed:
  • Marcelo Oliveira Passos

    (Federal University of Pelotas (PPGOM/UFPel))

  • Priscila Lujan Gonzalez

    (Ulbrex Asset Management)

  • Mathias Schneid Tessmann

    (Development and Research – IDP)

  • Daniel Abreu Pereira Uhr

    (Federal University of Pelotas (PPGOM/UFPel))

Abstract

We use some modern scientometrics tools to detect which articles written in co-authorship are the most influential in the finance theory literature from 1896 to 2006. To develop a rank of these most cited and influential co-authorships, we use four metrics of complex network statistics: the weighted degree (the sum of weighted indegree and weighted out-degree) and the PageRank™. The database was obtained from bibliographies selected by two historians of economic-financial thought: Gonçalo Fonseca and Peter Bernstein. The first is responsible for the largest international website about the History of Economic Thought—The History of Economic Thought of the Institute for New Economic Thinking. The second wrote the seminal book History of the Capital Market, which describes what the author called "capital ideas" of the literature about Finance and Capital Markets. The results classified, in descending order - arranged in complex networks and tables - which co-authorships were most relevant in the finance theory literature in the mentioned period.

Suggested Citation

  • Marcelo Oliveira Passos & Priscila Lujan Gonzalez & Mathias Schneid Tessmann & Daniel Abreu Pereira Uhr, 2022. "The greatest co-authorships of finance theory literature (1896–2006): scientometrics based on complex networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5841-5862, October.
    • Handle: RePEc:spr:scient:v:127:y:2022:i:10:d:10.1007_s11192-022-04482-8
    DOI: 10.1007/s11192-022-04482-8
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    References listed on IDEAS

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    1. Enrico di Bella & Luca Gandullia & Sara Preti, 2021. "Analysis of scientific collaboration network of Italian Institute of Technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8517-8539, October.
    2. Qikai Cheng & Jiamin Wang & Wei Lu & Yong Huang & Yi Bu, 2020. "Keyword-citation-keyword network: a new perspective of discipline knowledge structure analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 1923-1943, September.
    3. Daria Maltseva & Vladimir Batagelj, 2021. "Journals publishing social network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3593-3620, April.
    4. Shanwu Tian & Xiurui Xu & Ping Li, 2021. "Acknowledgement network and citation count: the moderating role of collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7837-7857, September.
    5. Alireza Abbasi & Liaquat Hossain & Shahadat Uddin & Kim J. R. Rasmussen, 2011. "Evolutionary dynamics of scientific collaboration networks: multi-levels and cross-time analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 687-710, November.
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    More about this item

    Keywords

    Scientometrics; Finance theory literature; Complex networks; Network statistics;
    All these keywords.

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • B26 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Financial Economics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • N20 - Economic History - - Financial Markets and Institutions - - - General, International, or Comparative

    Statistics

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