Palash Sarkar
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Co-authors
- Subhamoy MaitraDebrup ChakrabortyKazue SakoSatya R. ChakravartyAlfred MenezesRana BaruaTetsu IwataPabitra Pal Choudhury
- Topics
- Coding theory and cryptography (52 papers)Cryptographic Implementations and Security (43 papers)Chaos-based Image/Signal Encryption (23 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Information TheoryACM Computing Surveys
In The Last Decade
Palash Sarkar
77 papers receiving 817 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 546
- Computational Theory and Mathematics 255
- Computer Vision and Pattern Recognition 220
- Computer Networks and Communications 191
- Information Systems 138
Countries citing papers authored by Palash Sarkar
This map shows the geographic impact of Palash Sarkar'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 Palash Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Palash Sarkar more than expected).
Fields of papers citing papers by Palash Sarkar
This network shows the impact of papers produced by Palash Sarkar. 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 Palash Sarkar. The network helps show where Palash Sarkar may publish in the future.
Co-authorship network of co-authors of Palash Sarkar
This figure shows the co-authorship network connecting the top 25 collaborators of Palash Sarkar. A scholar is included among the top collaborators of Palash Sarkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Palash Sarkar. Palash Sarkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 14 | |
| 10 | Variants of Waters' Dual System Primitives Using Asymmetric Pairings (Extended Abstract) | 5 |
| 11 | 2 | |
| 12 | 12 | |
| 13 | Construction of a hybrid HIBE protocol secure against adaptive attacks: without random oracle | 3 |
| 14 | 20 | |
| 15 | 0 | |
| 16 | Progress in cryptology - INDOCRYPT 2002 : Third International Conference on Cryptology in India, Hyderabad, India, December 16-18, 2002 : proceedings | 1 |
| 17 | 14 | |
| 18 | 8 | |
| 19 | 2 | |
| 20 | 41 |
About Palash Sarkar
Palash Sarkar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 84 papers that have together received 883 indexed citations. Recurring topics across this work include Coding theory and cryptography (52 papers), Cryptographic Implementations and Security (43 papers) and Chaos-based Image/Signal Encryption (23 papers). The work is most often cited by research in Artificial Intelligence (546 citations), Computational Theory and Mathematics (255 citations) and Computer Vision and Pattern Recognition (220 citations). Palash Sarkar has collaborated with scholars based in India, Mexico and France. Frequent co-authors include Subhamoy Maitra, Debrup Chakraborty, Kazue Sako, Satya R. Chakravarty, Alfred Menezes, Rana Barua, Tetsu Iwata, Pabitra Pal Choudhury, Abdul Raouf Khan and Manipushpak Mitra. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and ACM Computing Surveys.
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.