Amit Deo
Impact in
- Artificial Intelligence top 10%
- Cryptography and Data Security
- Cryptographic Implementations and Security
- Coding theory and cryptography
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- Complexity and Algorithms in Graphs
Papers in
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- Cryptography and Data Security 10
- Coding theory and cryptography 4
- Cryptographic Implementations and Security 3
- Data Stream Mining Techniques 1
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- Complexity and Algorithms in Graphs 3
- Co-authors
- Martin Albrecht (6 shared papers)Alex Davidson (4 shared papers)Kenneth G. Paterson (2 shared papers)Eamonn W. Postlethwaite (1 shared paper)Rachel Player (1 shared paper)Fernando Virdia (1 shared paper)Thomas Wunderer (1 shared paper)Nigel Paul Smart (1 shared paper)
- Journals
- IACR Transactions on Cryptographic Hardware and Embedded Systems (1 paper)Lecture notes in computer science (8 papers)Journal of Nepal Health Research Council (1 paper)Nepal Journal of Obstetrics and Gynaecology (1 paper)Research Portal (King's College London) (1 paper)
- Partner nations
- United KingdomPortugalFrance
In The Last Decade
Amit Deo
9 papers receiving 260 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 228
- Computational Theory and Mathematics 55
- Signal Processing 33
- Information Systems 65
- Computer Vision and Pattern Recognition 49
Countries citing papers authored by Amit Deo
This map shows the geographic impact of Amit Deo'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 Amit Deo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Deo more than expected).
Fields of papers citing papers by Amit Deo
This network shows the impact of papers produced by Amit Deo. 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 Amit Deo. The network helps show where Amit Deo may publish in the future.
Co-authors
The 15 scholars most cited alongside Amit Deo, 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 | 2018 | 115 | |
| 2 | 2017 | 35 | |
| 3 | 2021 | 28 | |
| 4 | 2018 | 27 | |
| 5 | 2016 | 26 | |
| 6 | 2018 | 17 | |
| 7 | 2024 | 14 | |
| 8 | 2020 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2025 | 0 | |
| 11 | 2021 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2023 | 0 | |
| 14 | 2026 | 0 |
About Amit Deo
Amit Deo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Rheumatology, Urology and Information Systems, having authored 14 papers that have together received 267 indexed citations. Recurring topics across this work include Cryptography and Data Security (10 papers), Coding theory and cryptography (4 papers), Cryptographic Implementations and Security (3 papers), Complexity and Algorithms in Graphs (3 papers), Pelvic floor disorders treatments (2 papers), Cryptography and Residue Arithmetic (1 paper), Blockchain Technology Applications and Security (1 paper) and Data Stream Mining Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (228 citations), Computational Theory and Mathematics (55 citations), Signal Processing (33 citations), Information Systems (65 citations) and Computer Vision and Pattern Recognition (49 citations). Amit Deo has collaborated with scholars based in United Kingdom, Portugal and France. Frequent co-authors include Martin Albrecht, Alex Davidson, Kenneth G. Paterson, Eamonn W. Postlethwaite, Rachel Player, Fernando Virdia, Thomas Wunderer, Nigel Paul Smart, Lorenzo Cavallaro and Guillermo Suárez‐Tangil. Their work appears in journals such as IACR Transactions on Cryptographic Hardware and Embedded Systems, Lecture notes in computer science, Journal of Nepal Health Research Council, Nepal Journal of Obstetrics and Gynaecology and Research Portal (King's College London).
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.