M.A.L. Thathachar

3.3k citations
65 papers · 2.2k · h-index 19

Impact in

Papers in

M.A.L. Thathachar

59 papers receiving 2.1k citations

Peers

M.A.L. Thathachar
Comparison fields: 5 of 91
  • Computer Networks and Communications 1.3k
  • Artificial Intelligence 962
  • Management Science and Operations Research 325
  • Computational Theory and Mathematics 343
  • Control and Systems Engineering 351
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Citations per field
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Citations per year

Countries citing papers authored by M.A.L. Thathachar

Since Specialization
Citations

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

Fields of papers citing papers by M.A.L. Thathachar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A.L. Thathachar. 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 M.A.L. Thathachar. The network helps show where M.A.L. Thathachar may publish in the future.

Co-authors

The 17 scholars most cited alongside M.A.L. Thathachar, 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 M.A.L. Thathachar Line = papers co-authored together M.A.L. Thathachar 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 1974448
2 2002273
3 2003223
4 1994199
5 1987121
6 1985108
7 2004103
8 198090
9 199764
10 199461
11
A Class of Rapidly Converging Algorithms for Learning Automata
198455
12 198146
13 198741
14 197225
15 199523
16 200222
17 196721
18 197321
19 199519
20 199517

About M.A.L. Thathachar

M.A.L. Thathachar is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research, having authored 65 papers that have together received 2.2k indexed citations. Recurring topics across this work include Optimization and Search Problems (28 papers), Machine Learning and Algorithms (17 papers), Stability and Control of Uncertain Systems (15 papers), semigroups and automata theory (9 papers), Auction Theory and Applications (9 papers), Stability and Controllability of Differential Equations (8 papers), Control Systems and Identification (7 papers) and Control and Stability of Dynamical Systems (6 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Artificial Intelligence (962 citations), Management Science and Operations Research (325 citations), Computational Theory and Mathematics (343 citations) and Control and Systems Engineering (351 citations). M.A.L. Thathachar has collaborated with scholars based in India, United States and Canada. Frequent co-authors include P. S. Sastry, Kumpati S. Narendra, V.V. Phansalkar, Pramod Viswanath, K.R. Ramakrishnan, M Srinath, Malur K. Sundareshan, B. John Oommen, Sriraṁ Ramaswamy and H. K. Ramapriyan. Their work appears in journals such as IEEE Transactions on Automatic Control, International Journal of Control, Information Sciences, International Journal of Systems Science and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

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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