Pratish Datta
Impact in
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- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Coding theory and cryptography
- Cryptographic Implementations and Security
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- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
Papers in
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- Cryptography and Data Security 8
- Cryptographic Implementations and Security 4
- Coding theory and cryptography 3
- Privacy-Preserving Technologies in Data 1
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- Complexity and Algorithms in Graphs 5
- semigroups and automata theory 1
- Co-authors
- Brent Waters (1 shared paper)Ilan Komargodski (1 shared paper)Tatsuaki Okamoto (1 shared paper)Ratna Dutta (5 shared papers)Katsuyuki Takashima (1 shared paper)Sourav Mukhopadhyay (6 shared papers)
- Journals
- Theoretical Computer Science (2 papers)Journal of Information Security and Applications (2 papers)Designs Codes and Cryptography (1 paper)Journal of Cryptology (1 paper)Algorithmica (1 paper)
- Partner nations
- IndiaJapanUnited States
In The Last Decade
Pratish Datta
5 papers receiving 18 citations
Peers
Comparison fields: 5 of 6
- Artificial Intelligence 17
- Information Systems 9
- Computational Theory and Mathematics 4
- Computer Vision and Pattern Recognition 2
- Computer Networks and Communications 2
Countries citing papers authored by Pratish Datta
This map shows the geographic impact of Pratish Datta'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 Pratish Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pratish Datta more than expected).
Fields of papers citing papers by Pratish Datta
This network shows the impact of papers produced by Pratish Datta. 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 Pratish Datta. The network helps show where Pratish Datta may publish in the future.
Co-authors
The 6 scholars most cited alongside Pratish Datta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 10 | |
| 2 | 2020 | 3 | |
| 3 | 2017 | 2 | |
| 4 | 2018 | 2 | |
| 5 | 2019 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2019 | 0 | |
| 8 | 2019 | 0 | |
| 9 | 2014 | 0 |
About Pratish Datta
Pratish Datta is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Information Systems and Pharmacy, having authored 9 papers that have together received 18 indexed citations. Recurring topics across this work include Cryptography and Data Security (8 papers), Complexity and Algorithms in Graphs (5 papers), Cryptographic Implementations and Security (4 papers), Coding theory and cryptography (3 papers), Chaos-based Image/Signal Encryption (3 papers), Privacy-Preserving Technologies in Data (1 paper), Oral and gingival health research (1 paper) and semigroups and automata theory (1 paper). The work is most often cited by research in Artificial Intelligence (17 citations), Information Systems (9 citations), Computational Theory and Mathematics (4 citations), Computer Vision and Pattern Recognition (2 citations) and Computer Networks and Communications (2 citations). Pratish Datta has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Brent Waters, Ilan Komargodski, Tatsuaki Okamoto, Ratna Dutta, Katsuyuki Takashima and Sourav Mukhopadhyay. Their work appears in journals such as Theoretical Computer Science, Journal of Information Security and Applications, Designs Codes and Cryptography, Journal of Cryptology and Algorithmica.
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.