M.A.L. Thathachar

3.3k total citations
65 papers, 2.2k citations indexed

About

M.A.L. Thathachar is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, M.A.L. Thathachar has authored 65 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 30 papers in Control and Systems Engineering and 26 papers in Artificial Intelligence. Recurrent topics in M.A.L. Thathachar's work include Optimization and Search Problems (28 papers), Machine Learning and Algorithms (17 papers) and Stability and Control of Uncertain Systems (15 papers). M.A.L. Thathachar is often cited by papers focused on Optimization and Search Problems (28 papers), Machine Learning and Algorithms (17 papers) and Stability and Control of Uncertain Systems (15 papers). M.A.L. Thathachar collaborates with scholars based in India, United States and Canada. M.A.L. Thathachar's 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 and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

M.A.L. Thathachar

59 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M.A.L. Thathachar India 19 1.3k 962 402 351 343 65 2.2k
Justin A. Boyan United States 14 566 0.4× 854 0.9× 263 0.7× 196 0.6× 274 0.8× 19 1.5k
Kuk-Hyun Han South Korea 13 380 0.3× 1.3k 1.3× 347 0.9× 297 0.8× 322 0.9× 19 2.1k
M. R. Meybodi Iran 20 821 0.6× 629 0.7× 279 0.7× 91 0.3× 356 1.0× 77 1.5k
Steven J. Bradtke United States 8 221 0.2× 1.1k 1.2× 198 0.5× 444 1.3× 548 1.6× 8 1.6k
Andrea Bondavalli Italy 23 1.0k 0.8× 558 0.6× 267 0.7× 315 0.9× 243 0.7× 236 2.1k
Hamid Beigy Iran 24 693 0.5× 1.0k 1.1× 267 0.7× 71 0.2× 226 0.7× 121 1.8k
Ljiljana Trajković Canada 23 1.3k 1.0× 743 0.8× 659 1.6× 188 0.5× 228 0.7× 151 2.2k
David Parker United Kingdom 31 503 0.4× 793 0.8× 297 0.7× 192 0.5× 1.3k 3.7× 125 2.6k
Jens Vygen Germany 23 685 0.5× 292 0.3× 941 2.3× 111 0.3× 563 1.6× 74 2.3k
Avishai Wool Israel 31 2.3k 1.8× 1.2k 1.2× 453 1.1× 385 1.1× 160 0.5× 102 3.2k

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-authorship network of co-authors of M.A.L. Thathachar

This figure shows the co-authorship network connecting the top 25 collaborators of M.A.L. Thathachar. A scholar is included among the top collaborators of M.A.L. Thathachar 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 M.A.L. Thathachar. M.A.L. Thathachar 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
1.
Thathachar, M.A.L., et al.. (2013). Solution of Goore game using modules of stochastic learning automata. 77(1). 47–61. 3 indexed citations
2.
Phansalkar, V.V., P. S. Sastry, & M.A.L. Thathachar. (2005). An optimization approach to the analysis of generalized learning automata algorithms. 8–11.
3.
Phansalkar, V.V. & M.A.L. Thathachar. (2003). Global convergence of feedforward networks of learning automata. 3. 875–880.
4.
Thathachar, M.A.L. & P. S. Sastry. (2002). Varieties of learning automata: an overview. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 32(6). 711–722. 273 indexed citations
5.
Thathachar, M.A.L., et al.. (2000). Voronoi networks and their probability of misclassification. IEEE Transactions on Neural Networks. 11(6). 1361–1372. 6 indexed citations
6.
Thathachar, M.A.L., et al.. (1999). Global Boltzmann perceptron network for online learning of conditional distributions. IEEE Transactions on Neural Networks. 10(5). 1090–1098. 2 indexed citations
7.
Thathachar, M.A.L., et al.. (1998). Parallel algorithms for modules of learning automata. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 28(1). 24–33. 14 indexed citations
8.
Thathachar, M.A.L. & V.V. Phansalkar. (1995). Learning the global maximum with parameterized learning automata. IEEE Transactions on Neural Networks. 6(2). 398–406. 19 indexed citations
9.
Thathachar, M.A.L., et al.. (1991). Learning Automata in Stochastic Games with Incomplete Information. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 3 indexed citations
10.
Mukhopadhyay, Sumitra & M.A.L. Thathachar. (1989). Associative learning of Boolean functions. IEEE Transactions on Systems Man and Cybernetics. 19(5). 1008–1015. 14 indexed citations
11.
Thathachar, M.A.L., et al.. (1984). A Class of Rapidly Converging Algorithms for Learning Automata. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 55 indexed citations
12.
Thathachar, M.A.L. & K.R. Ramakrishnan. (1984). A cooperative game of a pair of learning automata. Automatica. 20(6). 797–801. 13 indexed citations
13.
Thathachar, M.A.L. & B. John Oommen. (1983). Learning automata processing ergodicity of the mean: The two-action case. IEEE Transactions on Systems Man and Cybernetics. SMC-13(6). 1143–1148. 10 indexed citations
14.
Thathachar, M.A.L., et al.. (1981). A global convergence criterion for discrete-time multivariable adaptive systems. International Journal of Control. 34(1). 127–142. 3 indexed citations
15.
Lakshmivarahan, S. & M.A.L. Thathachar. (1976). Absolute Expediency of Q-and S-Model Learning Algorithms. IEEE Transactions on Systems Man and Cybernetics. SMC-6(3). 222–226. 11 indexed citations
16.
Sundareshan, Malur K. & M.A.L. Thathachar. (1973). Time-varying system stability-interchangeability of the bounds on the logarithmic variation of gain. IEEE Transactions on Automatic Control. 18(4). 405–407. 2 indexed citations
17.
Thathachar, M.A.L., et al.. (1972). Optimal non-linear reinforcement schemes for stochastic automata. Information Sciences. 4(3-4). 121–128. 5 indexed citations
18.
Sundareshan, Malur K. & M.A.L. Thathachar. (1972). <tex>L_{2}</tex>-stability of linear time-varying systems--Conditions involving noncausal multipliers. IEEE Transactions on Automatic Control. 17(4). 504–510. 25 indexed citations
19.
Thathachar, M.A.L., et al.. (1970). Stability of a class of multiplicative nonlinear systems. IEEE Transactions on Automatic Control. 15(6). 647–649. 2 indexed citations
20.
Lakshmivarahan, S. & M.A.L. Thathachar. (1970). Pattern Classification Using Stochastic Approximation Techniques. IEEE Transactions on Computers. C-19(7). 649–651.

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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