Sunil Shende

937 citations
42 papers · 422 · h-index 11

Impact in

Papers in

Sunil Shende

39 papers receiving 397 citations

Peers

Sunil Shende
Comparison fields: 5 of 75
  • Computational Theory and Mathematics 147
  • Computer Networks and Communications 178
  • Computer Vision and Pattern Recognition 81
  • Computer Graphics and Computer-Aided Design 11
  • Hardware and Architecture 19
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Arun Jagota United States
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Jukka Teuhola Finland
Stéphane Pérennès France
Peter Fenwick New Zealand
Oded Margalit Israel
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Zhonghua Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Sunil Shende

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Shende

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201961
2 200048
3 200038
4 201529
5 201626
6 202021
7 199918
8 199014
9
Static Frequency Assignment in Cellular Networks.
199712
10 199512
11 200210
12 200410
13 20139
14 19948
15 20138
16 19997
17 20197
18 19957
19 19927
20 19967

About Sunil Shende

Sunil Shende is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Artificial Intelligence, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 422 indexed citations. Recurring topics across this work include Optimization and Search Problems (10 papers), Algorithms and Data Compression (8 papers), Modular Robots and Swarm Intelligence (6 papers), Advanced Graph Theory Research (6 papers), Interconnection Networks and Systems (6 papers), Cooperative Communication and Network Coding (5 papers), semigroups and automata theory (5 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Computational Theory and Mathematics (147 citations), Computer Networks and Communications (178 citations), Computer Vision and Pattern Recognition (81 citations), Computer Graphics and Computer-Aided Design (11 citations) and Hardware and Architecture (19 citations). Sunil Shende has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Lata Narayanan, Danny Kriz̧anc, Nasir Memon, David L. Neuhoff, Michael A. Palis, Daniel P. Russo, Hao Zhu, Evangelos Kranakis, Thomas Härtung and Wenyi Wang. Their work appears in journals such as Theoretical Computer Science, Journal of Parallel and Distributed Computing, Theory of Computing Systems, Distributed Computing and Networks.

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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