Cuong Le Van

1.4k citations
89 papers · 700 · h-index 15

Impact in

Papers in

Cuong Le Van

79 papers receiving 660 citations

Peers

Cuong Le Van
Comparison fields: 5 of 66
  • General Decision Sciences 91
  • General Economics, Econometrics and Finance 208
  • Economics and Econometrics 612
  • Finance 109
  • Management Science and Operations Research 89
Replace Manuel S. Santos with:
Manuel S. Santos United States
Rose‐Anne Dana France
Yves Balasko France
Stephen E. Spear United States
Igor V. Evstigneev United Kingdom
Wayne Shafer United States
Ken‐ichi Inada Japan
Rubin Saposnik United States
Jan Werner United States
Heraklis Polemarchakis United States
Cuong Le Van relative to Manuel S. Santos United States Manuel S. Santos's profile →
Citations per field
00.5×1.5×2.3×
Manuel S. Santos · 1×
Citations per year

Countries citing papers authored by Cuong Le Van

Since Specialization
Citations

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

Fields of papers citing papers by Cuong Le Van

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cuong Le Van. 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 Cuong Le Van. The network helps show where Cuong Le Van may publish in the future.

Co-authors

The 25 scholars most cited alongside Cuong Le Van, 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 Cuong Le Van Line = papers co-authored together Cuong Le Van links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200250
2
Dynamic Programming in Economics
200345
3 199937
4 199929
5 200129
6 200427
7 201022
8 200320
9 201819
10 201818
11 198916
12 200216
13 201715
14 199114
15 199614
16 199013
17 200613
18 199812
19 200812
20 198612

About Cuong Le Van

Cuong Le Van is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, General Decision Sciences, Statistical and Nonlinear Physics and Finance, having authored 89 papers that have together received 700 indexed citations. Recurring topics across this work include Economic theories and models (67 papers), Economic Theory and Policy (22 papers), Fiscal Policy and Economic Growth (17 papers), Economic Growth and Productivity (15 papers), Economic Theory and Institutions (12 papers), Decision-Making and Behavioral Economics (12 papers), Complex Systems and Time Series Analysis (12 papers) and Advanced Thermodynamics and Statistical Mechanics (9 papers). The work is most often cited by research in General Decision Sciences (91 citations), General Economics, Econometrics and Finance (208 citations), Economics and Econometrics (612 citations), Finance (109 citations) and Management Science and Operations Research (89 citations). Cuong Le Van has collaborated with scholars based in France, Vietnam and United Kingdom. Frequent co-authors include Rose‐Anne Dana, Rose Anne Dana, Monique Florenzano, Philippe Askenazy, Nizar Allouch, Thanh Lê, Frank H. Page, John Stachurski, Anh Ngọc Nguyễn and Manh‐Hung Nguyen. Their work appears in journals such as Journal of Mathematical Economics, Journal of Optimization Theory and Applications, Economic Theory, Mathematical Social Sciences and Journal of Economic Theory.

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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