Sunil Jacob John

72 papers receiving 648 citations

Peers

Sunil Jacob John
Comparison fields: 5 of 62
  • Management Science and Operations Research 548
  • Computational Theory and Mathematics 384
  • Statistics and Probability 78
  • Artificial Intelligence 132
  • Control and Systems Engineering 80
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Xiaolong Xin China
Davender S. Malik United States
Tarasankar Pramanik India
Sankar Sahoo India
Ana Pradera Spain
Mikel Elkano Spain
M. S. Sunitha India
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Ningxin Xie China
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Citations per field
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Citations per year

Countries citing papers authored by Sunil Jacob John

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Jacob John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Sunil Jacob John, 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 Jacob John Line = papers co-authored together Sunil Jacob John links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201966
2 202066
3 201262
4 201158
5 200857
6
Hesitant fuzzy soft sets
201347
7
General relations between partially ordered multisets and their chains and antichains
200923
8 202022
9 201117
10 202117
11 202016
12 201914
13 202313
14 201213
15 202013
16 201511
17 201610
18 202110
19 201610
20 20169

About Sunil Jacob John

Sunil Jacob John is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Artificial Intelligence, Signal Processing and Information Systems, having authored 81 papers that have together received 700 indexed citations. Recurring topics across this work include Fuzzy and Soft Set Theory (45 papers), Multi-Criteria Decision Making (36 papers), Rough Sets and Fuzzy Logic (25 papers), Advanced Algebra and Logic (24 papers), Fuzzy Logic and Control Systems (14 papers), Data Mining Algorithms and Applications (6 papers), Data Management and Algorithms (4 papers) and Optimization and Mathematical Programming (3 papers). The work is most often cited by research in Management Science and Operations Research (548 citations), Computational Theory and Mathematics (384 citations), Statistics and Probability (78 citations), Artificial Intelligence (132 citations) and Control and Systems Engineering (80 citations). Sunil Jacob John has collaborated with scholars based in India, Mexico and Hungary. Frequent co-authors include Harish Garg, D. Deepak, Ganeshsree Selvachandran, S. A. El-Sheikh, Luis Asunción Pérez-Domínguez, José Carlos R. Alcantud, Sovan Samanta, Hyuck M. Kwon, Satyananda Panda and Rohit Kumar. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, International Journal of Fuzzy System Applications, IEEE Access, Soft Computing and Information Sciences.

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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