Rahul Hans
Impact in
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Distributed and Parallel Computing Systems
- Artificial Intelligence top 10%
- Cryptographic Implementations and Security
- Metaheuristic Optimization Algorithms Research
Papers in
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- Network Security and Intrusion Detection 7
- Mobile Agent-Based Network Management 7
- Peer-to-Peer Network Technologies 4
- Mobile Ad Hoc Networks 3
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- AI in cancer detection 6
- Co-authors
- Ramandeep Kaur (2 shared papers)Harpreet Singh (2 shared papers)Md. Mehedi Hassan (2 shared papers)Sanjeev Kumar Sharma (1 shared paper)Sanjeev Sharma (1 shared paper)Chetna Kaushal (1 shared paper)Mohd Asif Shah (1 shared paper)Uwe Aickelin (1 shared paper)
- Journals
- International Journal of Computational Intelligence Systems (1 paper)Scientific Reports (1 paper)PLoS ONE (1 paper)Health Information Science and Systems (1 paper)ACM Computing Surveys (1 paper)
- Partner nations
- IndiaBangladeshUnited Kingdom
In The Last Decade
Rahul Hans
25 papers receiving 326 citations
Peers
Comparison fields: 5 of 62
- Computer Networks and Communications 118
- Artificial Intelligence 155
- Information Systems 98
- Computer Vision and Pattern Recognition 83
- Signal Processing 26
Countries citing papers authored by Rahul Hans
This map shows the geographic impact of Rahul Hans'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 Rahul Hans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Hans more than expected).
Fields of papers citing papers by Rahul Hans
This network shows the impact of papers produced by Rahul Hans. 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 Rahul Hans. The network helps show where Rahul Hans may publish in the future.
Co-authors
The 8 scholars most cited alongside Rahul Hans, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 116 | |
| 2 | 2018 | 43 | |
| 3 | 2018 | 35 | |
| 4 | 2020 | 30 | |
| 5 | 2019 | 20 | |
| 6 | 2019 | 14 | |
| 7 | 2015 | 13 | |
| 8 | 2017 | 12 | |
| 9 | 2020 | 10 | |
| 10 | 2024 | 7 | |
| 11 | 2015 | 7 | |
| 12 | 2021 | 5 | |
| 13 | 2014 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2016 | 5 | |
| 16 | 2025 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2012 | 4 | |
| 19 | 2014 | 3 | |
| 20 | 2017 | 2 |
About Rahul Hans
Rahul Hans is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 351 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (7 papers), Mobile Agent-Based Network Management (7 papers), AI in cancer detection (6 papers), Peer-to-Peer Network Technologies (4 papers), COVID-19 diagnosis using AI (3 papers), Advanced Malware Detection Techniques (3 papers), Mobile Ad Hoc Networks (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Computer Networks and Communications (118 citations), Artificial Intelligence (155 citations), Information Systems (98 citations), Computer Vision and Pattern Recognition (83 citations) and Signal Processing (26 citations). Rahul Hans has collaborated with scholars based in India, Bangladesh and United Kingdom. Frequent co-authors include Ramandeep Kaur, Harpreet Singh, Md. Mehedi Hassan, Sanjeev Kumar Sharma, Sanjeev Sharma, Chetna Kaushal, Mohd Asif Shah and Uwe Aickelin. Their work appears in journals such as International Journal of Computational Intelligence Systems, Scientific Reports, PLoS ONE, Health Information Science and Systems 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.