Michael R. Caputo

895 citations
70 papers · 587 · h-index 14

Impact in

Papers in

Michael R. Caputo

62 papers receiving 520 citations

Peers

Michael R. Caputo
Comparison fields: 5 of 92
  • Economics and Econometrics 400
  • General Economics, Econometrics and Finance 71
  • Management Science and Operations Research 80
  • Finance 64
  • General Decision Sciences 11
Replace Yoel Haitovsky with:
Yoel Haitovsky Israel
P. J. Lund United Kingdom
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Lung-Fei Lee United States
Daniel McFadden United States
Ramona L. Trader United States
Roger J. Bowden New Zealand
Stephen R. Cosslett United States
Pietro Balestra Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Michael R. Caputo

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Caputo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Caputo. 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 Michael R. Caputo. The network helps show where Michael R. Caputo may publish in the future.

Co-authors

The 13 scholars most cited alongside Michael R. Caputo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael R. Caputo Line = papers co-authored together Michael R. Caputo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200578
2 199056
3 199033
4
Principal Portfolios: Recasting the Efficient Frontier
200427
5 201423
6 199721
7 199621
8 199420
9 198918
10 199516
11 200715
12 200314
13 200313
14 200713
15 199012
16 200612
17 199711
18 199211
19 199811
20 199310

About Michael R. Caputo

Michael R. Caputo is a scholar working on Economics and Econometrics, Management Science and Operations Research, General Economics, Econometrics and Finance, Computational Theory and Mathematics and Finance, having authored 70 papers that have together received 587 indexed citations. Recurring topics across this work include Economic theories and models (32 papers), Climate Change Policy and Economics (14 papers), Economic Growth and Productivity (9 papers), Optimization and Variational Analysis (9 papers), Monetary Policy and Economic Impact (7 papers), Game Theory and Applications (6 papers), Merger and Competition Analysis (5 papers) and Fiscal Policy and Economic Growth (5 papers). The work is most often cited by research in Economics and Econometrics (400 citations), General Economics, Econometrics and Finance (71 citations), Management Science and Operations Research (80 citations), Finance (64 citations) and General Decision Sciences (11 citations). Michael R. Caputo has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include M. Hossein Partovi, Quirino Paris, James E. Wilen, Randy A. Nelson, Dean Lueck, Garth Holloway, Robert A. Van Gorder, Lori Lynch, Davide Dragone and James G. Mulligan. Their work appears in journals such as Journal of Economic Dynamics and Control, Optimal Control Applications and Methods, Economics Letters, Journal of Optimization Theory and Applications and Mathematical Social Sciences.

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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