Jaya Sil
Impact in
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses
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- Advanced Steganography and Watermarking Techniques
- Face and Expression Recognition
Papers in
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- Metaheuristic Optimization Algorithms Research 15
- Evolutionary Algorithms and Applications 13
- Natural Language Processing Techniques 9
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- Face and Expression Recognition 11
- Advanced Steganography and Watermarking Techniques 8
- Co-authors
- Santanu Phadikar (3 shared papers)Asit Kumar Das (4 shared papers)Paramartha Dutta (8 shared papers)Nanda Dulal Jana (8 shared papers)Santi P. Maity (9 shared papers)Pratyay Konar (3 shared papers)Paramita Chattopadhyay (3 shared papers)Shubhabrata Datta (3 shared papers)
In The Last Decade
Jaya Sil
95 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 119
- Analytical Chemistry 221
- Computer Vision and Pattern Recognition 270
- Artificial Intelligence 333
- Plant Science 340
- Computational Theory and Mathematics 119
Countries citing papers authored by Jaya Sil
This map shows the geographic impact of Jaya Sil'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 Jaya Sil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaya Sil more than expected).
Fields of papers citing papers by Jaya Sil
This network shows the impact of papers produced by Jaya Sil. 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 Jaya Sil. The network helps show where Jaya Sil may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaya Sil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 191 | |
| 2 | 2012 | 162 | |
| 3 | 2012 | 88 | |
| 4 | 2012 | 40 | |
| 5 | 2019 | 35 | |
| 6 | 2016 | 34 | |
| 7 | 2013 | 30 | |
| 8 | 2013 | 29 | |
| 9 | 2017 | 27 | |
| 10 | 2015 | 26 | |
| 11 | 2017 | 22 | |
| 12 | 2011 | 18 | |
| 13 | 2016 | 18 | |
| 14 | 2009 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 1999 | 15 | |
| 18 | 2019 | 14 | |
| 19 | 2010 | 13 | |
| 20 | 2010 | 13 |
About Jaya Sil
Jaya Sil is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Information Systems and Control and Systems Engineering, having authored 102 papers that have together received 1.2k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (18 papers), Metaheuristic Optimization Algorithms Research (15 papers), Evolutionary Algorithms and Applications (13 papers), Face and Expression Recognition (11 papers), Data Mining Algorithms and Applications (11 papers), Advanced Multi-Objective Optimization Algorithms (10 papers), Natural Language Processing Techniques (9 papers) and Advanced Steganography and Watermarking Techniques (8 papers). The work is most often cited by research in Analytical Chemistry (221 citations), Computer Vision and Pattern Recognition (270 citations), Artificial Intelligence (333 citations), Plant Science (340 citations) and Computational Theory and Mathematics (119 citations). Jaya Sil has collaborated with scholars based in India, Bahrain and France. Frequent co-authors include Santanu Phadikar, Asit Kumar Das, Paramartha Dutta, Nanda Dulal Jana, Santi P. Maity, Pratyay Konar, Paramita Chattopadhyay, Shubhabrata Datta, Claude Delpha and Saikat Ranjan Maity. Their work appears in journals such as Applied Soft Computing, Neurocomputing, Molecular Neurobiology, Expert Systems with Applications and Neural Computing and Applications.
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.