James V. Jordan

35 total papers · 801 total citations
27 papers, 504 citations indexed

About

James V. Jordan is a scholar working on Finance, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, James V. Jordan has authored 27 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Finance, 12 papers in Economics and Econometrics and 4 papers in General Economics, Econometrics and Finance. Recurrent topics in James V. Jordan's work include Stochastic processes and financial applications (10 papers), Financial Markets and Investment Strategies (10 papers) and Credit Risk and Financial Regulations (4 papers). James V. Jordan is often cited by papers focused on Stochastic processes and financial applications (10 papers), Financial Markets and Investment Strategies (10 papers) and Credit Risk and Financial Regulations (4 papers). James V. Jordan collaborates with scholars based in United States, United Kingdom and Kenya. James V. Jordan's co-authors include John R. Schullek, Robert R. Montgomery, Roland Portait, Isabelle Bajeux‐Besnainou, Jinsung Yoon, Mihaela van der Schaar, Sattar Mansi, George H. K. Wang, George Emir Morgan and Don M. Chance and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Finance and American Economic Review.

In The Last Decade

James V. Jordan

26 papers receiving 437 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
James V. Jordan 291 180 83 81 78 27 504
Jaeyoung Kim 109 0.4× 205 1.1× 48 0.6× 11 0.1× 175 2.2× 49 604
Nick Taylor 296 1.0× 270 1.5× 9 0.1× 42 0.5× 130 1.7× 37 560
Toshihisa Toyoda 54 0.2× 92 0.5× 10 0.1× 15 0.2× 81 1.0× 33 463
Carlos Santos 137 0.5× 288 1.6× 23 0.3× 14 0.2× 232 3.0× 27 515
Michal Pešta 65 0.2× 78 0.4× 12 0.1× 5 0.1× 38 0.5× 42 503
David N. Nawrocki 382 1.3× 244 1.4× 3 0.0× 72 0.9× 39 0.5× 32 575
David E. Spencer 131 0.5× 331 1.8× 2 0.0× 54 0.7× 288 3.7× 33 559
Fabrizio Cipollini 206 0.7× 177 1.0× 55 0.7× 74 0.9× 37 496
Matthew Baron 424 1.5× 273 1.5× 5 0.1× 141 1.7× 103 1.3× 25 595
Davide Raggi 124 0.4× 223 1.2× 2 0.0× 199 2.5× 64 0.8× 22 562

Countries citing papers authored by James V. Jordan

Since Specialization
Citations

This map shows the geographic impact of James V. Jordan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James V. Jordan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James V. Jordan more than expected).

Fields of papers citing papers by James V. Jordan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James V. Jordan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James V. Jordan. The network helps show where James V. Jordan may publish in the future.

Co-authorship network of co-authors of James V. Jordan

This figure shows the co-authorship network connecting the top 25 collaborators of James V. Jordan. A scholar is included among the top collaborators of James V. Jordan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James V. Jordan. James V. Jordan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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