Sunil Mathew

1.9k citations
151 papers · 1.3k · h-index 17

Impact in

Papers in

Sunil Mathew

119 papers receiving 1.3k citations

Peers

Sunil Mathew
Comparison fields: 5 of 99
  • Management Science and Operations Research 704
  • Computational Theory and Mathematics 555
  • Geometry and Topology 235
  • Signal Processing 296
  • Statistical and Nonlinear Physics 180
Replace Ganesh Ghorai with:
Ganesh Ghorai India
Sohail Zafar Pakistan
Shayan Oveis Gharan United States
Lane A. Hemaspaandra United States
T. Parthasarathy India
Wiesław A. Dudek Poland
Olivier Hudry France
Arindam Dey India
Serge Gaspers Australia
Dan Meng China
Sunil Mathew relative to Ganesh Ghorai India Ganesh Ghorai's profile →
Citations per field
00.5×2.7×
Ganesh Ghorai · 1×
Citations per year

Countries citing papers authored by Sunil Mathew

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Mathew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Sunil Mathew, 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 Mathew Line = papers co-authored together Sunil Mathew links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009202
2 2009101
3 201870
4 201858
5 201958
6 201745
7 201341
8 201641
9 202134
10 201833
11 201332
12 201831
13 202027
14 201723
15 202122
16 201821
17 201718
18 201516
19 201916
20 201716

About Sunil Mathew

Sunil Mathew is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 151 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (53 papers), Data Management and Algorithms (27 papers), Advanced Graph Theory Research (21 papers), Graph Labeling and Dimension Problems (14 papers), Graph theory and applications (13 papers), Complex Network Analysis Techniques (13 papers), Fuzzy Logic and Control Systems (11 papers) and Rough Sets and Fuzzy Logic (10 papers). The work is most often cited by research in Management Science and Operations Research (704 citations), Computational Theory and Mathematics (555 citations), Geometry and Topology (235 citations), Signal Processing (296 citations) and Statistical and Nonlinear Physics (180 citations). Sunil Mathew has collaborated with scholars based in India, United States and Iran. Frequent co-authors include John N. Mordeson, M. S. Sunitha, Davender S. Malik, R. A. Borzooei, Hai Yang, Sameer Tyagi, Nicolae Adrian Secelean, James McGovern, Dariusz Wardowski and Hossein Rashmanlou. Their work appears in journals such as Information Sciences, Fuzzy Sets and Systems, Communications in Nonlinear Science and Numerical Simulation, Journal of Intelligent & Fuzzy Systems and IEEE Transactions on Fuzzy Systems.

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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