David K. Whitcomb

2.4k total citations
45 papers, 1.7k citations indexed

About

David K. Whitcomb is a scholar working on Finance, Economics and Econometrics and Accounting. According to data from OpenAlex, David K. Whitcomb has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Finance, 25 papers in Economics and Econometrics and 11 papers in Accounting. Recurrent topics in David K. Whitcomb's work include Financial Markets and Investment Strategies (23 papers), Complex Systems and Time Series Analysis (12 papers) and Corporate Finance and Governance (7 papers). David K. Whitcomb is often cited by papers focused on Financial Markets and Investment Strategies (23 papers), Complex Systems and Time Series Analysis (12 papers) and Corporate Finance and Governance (7 papers). David K. Whitcomb collaborates with scholars based in United States, Netherlands and France. David K. Whitcomb's co-authors include Robert A. Schwartz, Kalman J. Cohen, Steven F. Maier, Gabriel Hawawini, John Haldi, Daniel G. Weaver, Yusif Simaan, Thomas E. Copeland, Robert A. Schwartz and Enrique R. Arzac and has published in prestigious journals such as The Journal of Finance, Journal of Financial Economics and American Economic Review.

In The Last Decade

David K. Whitcomb

41 papers receiving 1.4k citations

Peers

David K. Whitcomb
Comparison fields: 5 of 96
  • Finance 1.3k
  • Economics and Econometrics 853
  • Accounting 610
  • Management Science and Operations Research 284
  • General Economics, Econometrics and Finance 257
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Citations per field, relative to David K. Whitcomb
David K. Whitcomb · 1×
Citations per year, relative to David K. Whitcomb
David K. Whitcomb · 1×

Countries citing papers authored by David K. Whitcomb

Since Specialization
Citations

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

Fields of papers citing papers by David K. Whitcomb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David K. Whitcomb

This figure shows the co-authorship network connecting the top 25 collaborators of David K. Whitcomb. A scholar is included among the top collaborators of David K. Whitcomb 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 K. Whitcomb. David K. Whitcomb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 1
3
Market Maker Quotation Behavior and Pretrade Transparency
9
4
Applied Market Microstructure
0
5 39
6 1
7 5
8 5
9
Adjusting the intervalling effect bias in beta : a test using Paris Bourse prices
1
10
A Theory and Test of Credit Rationing: Some Further Results
4
11 232
12 4
13 127
14 1
15 18
16 7
17 49
18 7
19 0
20
Measurement and evaluation of transportation system effectiveness
18

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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