Amit Praseed
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- Software-Defined Networks and 5G
- IoT and Edge/Fog Computing
Papers in
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- Network Security and Intrusion Detection 6
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- Internet Traffic Analysis and Secure E-voting 4
- Security and Verification in Computing 2
- Privacy-Preserving Technologies in Data 1
- Co-authors
- P. Santhi Thilagam (9 shared papers)Alwyn Roshan Pais (2 shared papers)K. Chandrasekaran (1 shared paper)
- Journals
- IEEE Communications Surveys & Tutorials (2 papers)IEEE Transactions on Information Forensics and Security (2 papers)Journal of Network and Computer Applications (1 paper)International Journal of Information Security (1 paper)Journal of Information Security and Applications (1 paper)
- Partner nations
- India
In The Last Decade
Amit Praseed
9 papers receiving 306 citations
Peers
Comparison fields: 5 of 34
- Signal Processing 167
- Computer Networks and Communications 234
- Artificial Intelligence 178
- Information Systems 105
- Software 13
Countries citing papers authored by Amit Praseed
This map shows the geographic impact of Amit Praseed'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 Praseed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Praseed more than expected).
Fields of papers citing papers by Amit Praseed
This network shows the impact of papers produced by Amit Praseed. 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 Praseed. The network helps show where Amit Praseed may publish in the future.
Co-authors
The 3 scholars most cited alongside Amit Praseed, 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 | 129 | |
| 2 | 2020 | 37 | |
| 3 | 2024 | 31 | |
| 4 | 2018 | 29 | |
| 5 | 2019 | 26 | |
| 6 | 2017 | 22 | |
| 7 | 2022 | 22 | |
| 8 | 2021 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2015 | 0 |
About Amit Praseed
Amit Praseed is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Sociology and Political Science, having authored 10 papers that have together received 315 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (6 papers), Advanced Malware Detection Techniques (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Web Application Security Vulnerabilities (3 papers), Spam and Phishing Detection (2 papers), Security and Verification in Computing (2 papers), Privacy-Preserving Technologies in Data (1 paper) and Complexity and Algorithms in Graphs (1 paper). The work is most often cited by research in Signal Processing (167 citations), Computer Networks and Communications (234 citations), Artificial Intelligence (178 citations), Information Systems (105 citations) and Software (13 citations). Amit Praseed has collaborated with scholars based in India. Frequent co-authors include P. Santhi Thilagam, Alwyn Roshan Pais and K. Chandrasekaran. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Transactions on Information Forensics and Security, Journal of Network and Computer Applications, International Journal of Information Security and Journal of Information Security and Applications.
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.