Satish Kumar

58 papers receiving 613 citations

Peers

Satish Kumar
Comparison fields: 5 of 80
  • Statistics and Probability 295
  • Management Science and Operations Research 418
  • Software 56
  • Artificial Intelligence 197
  • Statistical and Nonlinear Physics 65
Replace Chunhe Xie with:
Chunhe Xie China
Boya Wei China
K. Ganesan India
Raghu Pasupathy United States
Gerd Bohlender Germany
Manish Aggarwal India
Yuzhen Han China
Dinabandhu Bhandari India
Ubaid ur Rehman Pakistan
Min‐Te Chao Taiwan
Satish Kumar relative to Chunhe Xie China Chunhe Xie's profile →
Citations per field
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Citations per year

Countries citing papers authored by Satish Kumar

Since Specialization
Citations

This map shows the geographic impact of 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 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 Satish Kumar more than expected).

Fields of papers citing papers by Satish Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside 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 Satish Kumar Line = papers co-authored together Satish Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199467
2 201854
3 201739
4 202132
5 201730
6 201828
7 201826
8 201826
9 201826
10 201724
11 201622
12 201819
13 201719
14 201818
15 201817
16 201817
17 201816
18 201613
19 202012
20 201912

About Satish Kumar

Satish Kumar is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Statistical and Nonlinear Physics and Control and Systems Engineering, having authored 70 papers that have together received 651 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (22 papers), Fuzzy Systems and Optimization (19 papers), Statistical Mechanics and Entropy (17 papers), Neural Networks and Applications (11 papers), Fuzzy Logic and Control Systems (11 papers), Optimization and Mathematical Programming (6 papers), Advanced Mathematical Theories and Applications (4 papers) and Evolutionary Algorithms and Applications (4 papers). The work is most often cited by research in Statistics and Probability (295 citations), Management Science and Operations Research (418 citations), Software (56 citations), Artificial Intelligence (197 citations) and Statistical and Nonlinear Physics (65 citations). Satish Kumar has collaborated with scholars based in India, Ethiopia and United States. Frequent co-authors include Rajesh Joshi, P.S. Satsangi, H. Kishan, S. Wadhwa, Shyam Lal, Dinesh, Deepak Gupta, Lakhwinder Pal Singh, Rajesh Kumar and P. Santhanam. Their work appears in journals such as Granular Computing, International Journal of Fuzzy Systems, Open Systems & Information Dynamics, Applied Intelligence and Infinite Dimensional Analysis Quantum Probability and Related Topics.

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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