David A. Chapman

52 total papers · 1.6k total citations
34 papers, 1.0k citations indexed

About

David A. Chapman is a scholar working on Finance, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, David A. Chapman has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Finance, 14 papers in Economics and Econometrics and 12 papers in General Economics, Econometrics and Finance. Recurrent topics in David A. Chapman's work include Financial Markets and Investment Strategies (17 papers), Monetary Policy and Economic Impact (12 papers) and Economic theories and models (9 papers). David A. Chapman is often cited by papers focused on Financial Markets and Investment Strategies (17 papers), Monetary Policy and Economic Impact (12 papers) and Economic theories and models (9 papers). David A. Chapman collaborates with scholars based in United States, Canada and China. David A. Chapman's co-authors include Neil D. Pearson, Murray Carlson, Keith C. Brown, Andrés Almazán, Valery Polkovnichenko, Masao Ogaki, C. R. Parks, G. L. England, Michael W. Brandt and J. Bradford De Long and has published in prestigious journals such as The Journal of Finance, Journal of Financial Economics and Analytical Chemistry.

In The Last Decade

David A. Chapman

32 papers receiving 941 citations

Author Peers

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

Author Last Decade Papers Cites
David A. Chapman 815 411 320 248 62 34 1.0k
Jialin Yu 816 1.0× 501 1.2× 322 1.0× 158 0.6× 93 1.5× 26 945
Sean D. Campbell 648 0.8× 756 1.8× 265 0.8× 292 1.2× 89 1.4× 31 1.2k
Shu Yan 957 1.2× 581 1.4× 253 0.8× 248 1.0× 131 2.1× 45 1.1k
Cesare Robotti 765 0.9× 487 1.2× 154 0.5× 251 1.0× 119 1.9× 48 905
Christian Julliard 848 1.0× 782 1.9× 289 0.9× 311 1.3× 45 0.7× 23 1.1k
Alexandros Kostakis 790 1.0× 646 1.6× 280 0.9× 297 1.2× 100 1.6× 41 1.0k
Soosung Hwang 909 1.1× 796 1.9× 223 0.7× 167 0.7× 160 2.6× 80 1.1k
J. Kenton Zumwalt 812 1.0× 512 1.2× 432 1.4× 157 0.6× 124 2.0× 46 996
Wai Mun Fong 702 0.9× 724 1.8× 156 0.5× 261 1.1× 188 3.0× 40 962
James N. Bodurtha 728 0.9× 392 1.0× 199 0.6× 251 1.0× 96 1.5× 23 812

Countries citing papers authored by David A. Chapman

Since Specialization
Citations

This map shows the geographic impact of David A. Chapman'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 David A. Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Chapman more than expected).

Fields of papers citing papers by David A. Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Chapman. 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 David A. Chapman. The network helps show where David A. Chapman may publish in the future.

Co-authorship network of co-authors of David A. Chapman

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Chapman. A scholar is included among the top collaborators of David A. Chapman 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 David A. Chapman. David A. Chapman 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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