T. E. S. Raghavan

2.6k citations
65 papers · 1.9k · h-index 21

Impact in

Papers in

T. E. S. Raghavan

60 papers receiving 1.7k citations

Peers

T. E. S. Raghavan
Comparison fields: 5 of 108
  • Management Science and Operations Research 959
  • Economics and Econometrics 877
  • General Decision Sciences 58
  • Computational Mathematics 15
  • Computational Theory and Mathematics 404
Replace T. Parthasarathy with:
T. Parthasarathy India
Sylvain Sorin France
Louis J. Billera United States
Maurice Sion Canada
B. Curtis Eaves United States
Abraham Neyman Israel
Francis Edward Su United States
Guillaume Carlier France
J. T. Schwartz United States
Yosef Rinott Israel
T. E. S. Raghavan relative to T. Parthasarathy India T. Parthasarathy's profile →
Citations per field
00.5×3.1×
T. Parthasarathy · 1×
Citations per year

Countries citing papers authored by T. E. S. Raghavan

Since Specialization
Citations

This map shows the geographic impact of T. E. S. Raghavan'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 T. E. S. Raghavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. E. S. Raghavan more than expected).

Fields of papers citing papers by T. E. S. Raghavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. E. S. Raghavan. 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 T. E. S. Raghavan. The network helps show where T. E. S. Raghavan may publish in the future.

Co-authors

The 25 scholars most cited alongside T. E. S. Raghavan, 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 T. E. S. Raghavan Line = papers co-authored together T. E. S. Raghavan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997402
2 1993131
3 1991116
4 197292
5 199289
6 198186
7 199861
8 200156
9 199254
10 198554
11 199749
12 199447
13 197742
14 197642
15 198339
16 197538
17 199735
18 197031
19 198428
20 199325

About T. E. S. Raghavan

T. E. S. Raghavan is a scholar working on Management Science and Operations Research, Economics and Econometrics, Computational Theory and Mathematics, Artificial Intelligence and Mathematical Physics, having authored 65 papers that have together received 1.9k indexed citations. Recurring topics across this work include Game Theory and Applications (35 papers), Economic theories and models (23 papers), Game Theory and Voting Systems (23 papers), Artificial Intelligence in Games (9 papers), Auction Theory and Applications (9 papers), Matrix Theory and Algorithms (6 papers), Computability, Logic, AI Algorithms (5 papers) and graph theory and CDMA systems (3 papers). The work is most often cited by research in Management Science and Operations Research (959 citations), Economics and Econometrics (877 citations), General Decision Sciences (58 citations), Computational Mathematics (15 citations) and Computational Theory and Mathematics (404 citations). T. E. S. Raghavan has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include R.B. Bapat, T. Parthasarathy, Jerzy A. Filar, Andrzej S. Nowak, Frank Thuijsman, O. J. Vrieze, S.H. Tijs, S. Vajda, James W. Osterburg and Stanley L. Sclove. Their work appears in journals such as International Journal of Game Theory, Linear Algebra and its Applications, Mathematics of Operations Research, Journal of the London Mathematical Society and Journal of Optimization Theory and Applications.

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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