Nilanjan Datta
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Hardware and Architecture top 10%
- Signal Processing
- Computational Theory and Mathematics
- Co-authors
- Mridul NandiKan YasudaAvijit DuttaCuauhtémoc Mancillas-LópezGoutam PaulDebdeep MukhopadhyaySikhar PatranabisLilian Bossuet
- Topics
- Cryptographic Implementations and Security (26 papers)Coding theory and cryptography (22 papers)Cryptography and Data Security (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on ComputersIEEE Transactions on Very Large Scale Integration (VLSI) Systems
- Partner nations
- IndiaJapanNetherlands
In The Last Decade
Nilanjan Datta
32 papers receiving 188 citations
Peers
Comparison fields: 5 of 20
- Artificial Intelligence 183
- Computer Vision and Pattern Recognition 123
- Hardware and Architecture 29
- Signal Processing 14
- Computational Theory and Mathematics 11
Countries citing papers authored by Nilanjan Datta
This map shows the geographic impact of Nilanjan 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 Nilanjan Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nilanjan Datta more than expected).
Fields of papers citing papers by Nilanjan Datta
This network shows the impact of papers produced by Nilanjan 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 Nilanjan Datta. The network helps show where Nilanjan Datta may publish in the future.
Co-authorship network of co-authors of Nilanjan Datta
This figure shows the co-authorship network connecting the top 25 collaborators of Nilanjan Datta. A scholar is included among the top collaborators of Nilanjan Datta 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 Nilanjan Datta. Nilanjan Datta 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 15 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 38 | |
| 15 | 9 | |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 13 | |
| 19 | 7 | |
| 20 | 12 |
About Nilanjan Datta
Nilanjan Datta is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 35 papers that have together received 196 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (26 papers), Coding theory and cryptography (22 papers) and Cryptography and Data Security (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (123 citations), Artificial Intelligence (183 citations) and Hardware and Architecture (29 citations). Nilanjan Datta has collaborated with scholars based in India, Japan and Netherlands. Frequent co-authors include Mridul Nandi, Kan Yasuda, Avijit Dutta, Cuauhtémoc Mancillas-López, Goutam Paul, Debdeep Mukhopadhyay, Sikhar Patranabis, Lilian Bossuet, Bart Mennink and Yu Sasaki. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Computers and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
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.