T. K. Satish Kumar

3.8k citations
131 papers · 1.9k indexed · h-index 19

T. K. Satish Kumar

114 papers receiving 1.8k citations

Peers

T. K. Satish Kumar
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 1.2k
  • Industrial and Manufacturing Engineering 286
  • Computer Networks and Communications 590
  • Signal Processing 266
  • Artificial Intelligence 627
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Daniel Harabor Australia
Guni Sharon United States
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Citations per field
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Citations per year

Countries citing papers authored by T. K. Satish Kumar

Since Specialization
Citations

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

Fields of papers citing papers by T. K. Satish Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. K. Satish Kumar. 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. K. Satish Kumar. The network helps show where T. K. Satish Kumar may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20232
4 202213
5 20206
6
Top K Hypotheses Selection on a Knowledge Graph.
20190
7
Constraint Composite Graph-Based Lifted Message Passing for Distributed Constraint Optimization Problems.
20180
8 2018193
9
Towards Understanding the Min-Sum Message Passing Algorithm for the Minimum Weighted Vertex Cover Problem: An Analytical Approach.
20180
10
The Buss Reduction for the k-Weighted Vertex Cover Problem.
20181
11 20181
12 201715
13 2017110
14
Kernelization, Generation of Bounds, and the Scope of Incremental Computation for Weighted Constraint Satisfaction Problems.
20164
15
On the Traveling Salesman Problem with Simple Temporal Constraints
20137
16
Lifting Techniques for Weighted Constraint Satisfaction Problems.
20087
17
CircuitTSAT: a solver for large instances of the disjunctive temporal problem
20083
18
Fast (incremental) algorithms for useful classes of simple temporal problems with preferences
20071
19 20075
20
On some tractable cases of logical filtering
20063

About T. K. Satish Kumar

T. K. Satish Kumar is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 131 papers that have together received 1.9k indexed citations. Recurring topics across this work include Speech and Audio Processing (35 papers), Robotic Path Planning Algorithms (32 papers), Advanced Adaptive Filtering Techniques (24 papers), Constraint Satisfaction and Optimization (23 papers), Data Management and Algorithms (15 papers), Optimization and Search Problems (15 papers), Blind Source Separation Techniques (14 papers) and AI-based Problem Solving and Planning (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Industrial and Manufacturing Engineering (286 citations) and Computer Networks and Communications (590 citations). T. K. Satish Kumar has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Sven Koenig, Hang Ma, Nora Ayanian, Jiaoyang Li, Wolfgang Hönig, Liron Cohen, Glenn Wagner, James A. Preiss, Gaurav S. Sukhatme and Ariel Felner. Their work appears in journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Journal of the Optical Society of America A.

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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