Saibal Kumar Pal
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Cryptographic Implementations and Security
- Cryptography and Data Security
Papers in
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- Cryptographic Implementations and Security 29
- Metaheuristic Optimization Algorithms Research 14
- Coding theory and cryptography 11
- Cryptography and Data Security 9
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- Blockchain Technology Applications and Security 6
- Co-authors
- Amrit Pal Singh (5 shared papers)Rajan Gupta (42 shared papers)R. P. Singh (7 shared papers)Sachin Kumar (6 shared papers)Sunil Kumar Muttoo (30 shared papers)Kapil Sharma (6 shared papers)Gaurav Pandey (4 shared papers)Poonam Chaudhary (2 shared papers)
In The Last Decade
Saibal Kumar Pal
114 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Modeling and Simulation 107
- Artificial Intelligence 438
- Computer Vision and Pattern Recognition 212
- Building and Construction 113
- Information Systems 153
Countries citing papers authored by Saibal Kumar Pal
This map shows the geographic impact of Saibal Kumar Pal'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 Saibal Kumar Pal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saibal Kumar Pal more than expected).
Fields of papers citing papers by Saibal Kumar Pal
This network shows the impact of papers produced by Saibal Kumar Pal. 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 Saibal Kumar Pal. The network helps show where Saibal Kumar Pal may publish in the future.
Co-authors
The 25 scholars most cited alongside Saibal Kumar Pal, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 162 | |
| 2 | 2020 | 135 | |
| 3 | 2018 | 78 | |
| 4 | 2017 | 72 | |
| 5 | 2019 | 43 | |
| 6 | 2018 | 41 | |
| 7 | 2021 | 41 | |
| 8 | 2019 | 40 | |
| 9 | 2011 | 38 | |
| 10 | 2017 | 36 | |
| 11 | 2020 | 31 | |
| 12 | 2018 | 28 | |
| 13 | 2017 | 27 | |
| 14 | 2016 | 20 | |
| 15 | 2016 | 17 | |
| 16 | 2017 | 17 | |
| 17 | 2022 | 15 | |
| 18 | 2010 | 14 | |
| 19 | 2016 | 13 | |
| 20 | 2020 | 13 |
About Saibal Kumar Pal
Saibal Kumar Pal is a scholar working on Artificial Intelligence, Information Systems, Political Science and International Relations, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 131 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (29 papers), E-Government and Public Services (22 papers), Metaheuristic Optimization Algorithms Research (14 papers), Coding theory and cryptography (11 papers), Chaos-based Image/Signal Encryption (9 papers), Cryptography and Data Security (9 papers), Blockchain Technology Applications and Security (6 papers) and Network Security and Intrusion Detection (5 papers). The work is most often cited by research in Modeling and Simulation (107 citations), Artificial Intelligence (438 citations), Computer Vision and Pattern Recognition (212 citations), Building and Construction (113 citations) and Information Systems (153 citations). Saibal Kumar Pal has collaborated with scholars based in India, Mexico and Slovenia. Frequent co-authors include Amrit Pal Singh, Rajan Gupta, R. P. Singh, Sachin Kumar, Sunil Kumar Muttoo, Kapil Sharma, Gaurav Pandey, Poonam Chaudhary, Arvinder Kaur and Gautam Srivastava. Their work appears in journals such as Applied Soft Computing, Applied Intelligence, Cryptography and Communications, IEEE Open Journal of the Communications Society and Arabian Journal for Science and Engineering.
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.