P. Vinod
Impact in
- Signal Processing top 1%
- Advanced Malware Detection Techniques
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
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- Advanced Malware Detection Techniques 56
-
- Network Security and Intrusion Detection 49
- Co-authors
- Mauro Conti (12 shared papers)Vijay Laxmi (11 shared papers)Manoj Singh Gaur (10 shared papers)Varun G. Menon (11 shared papers)Suleiman Y. Yerima (4 shared papers)Prabin Kumar Bora (3 shared papers)Corrado Aaron Visaggio (6 shared papers)Parvez Faruki (3 shared papers)
- Journals
- Journal of Information Security and Applications (3 papers)Electronics (2 papers)Computer Communications (2 papers)Journal of Computer Virology and Hacking Techniques (2 papers)International Journal of Information Security (2 papers)
- Partner nations
- IndiaItalyUnited Kingdom
In The Last Decade
P. Vinod
77 papers receiving 709 citations
Peers
Comparison fields: 5 of 57
- Signal Processing 568
- Software 128
- Computer Networks and Communications 496
- Information Systems 297
- Artificial Intelligence 241
Countries citing papers authored by P. Vinod
This map shows the geographic impact of P. Vinod'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 P. Vinod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Vinod more than expected).
Fields of papers citing papers by P. Vinod
This network shows the impact of papers produced by P. Vinod. 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 P. Vinod. The network helps show where P. Vinod may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Vinod, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 57 | |
| 2 | 2018 | 41 | |
| 3 | 2020 | 36 | |
| 4 | 2016 | 35 | |
| 5 | 2021 | 34 | |
| 6 | 2024 | 30 | |
| 7 | 2012 | 30 | |
| 8 | 2012 | 29 | |
| 9 | 2014 | 27 | |
| 10 | 2022 | 23 | |
| 11 | 2014 | 22 | |
| 12 | 2020 | 21 | |
| 13 | 2009 | 21 | |
| 14 | 2006 | 19 | |
| 15 | 2021 | 16 | |
| 16 | 2021 | 15 | |
| 17 | 2023 | 15 | |
| 18 | 2015 | 14 | |
| 19 | 2022 | 14 | |
| 20 | 2021 | 13 |
About P. Vinod
P. Vinod is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems, Artificial Intelligence and Software, having authored 82 papers that have together received 775 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (56 papers), Network Security and Intrusion Detection (49 papers), Software Testing and Debugging Techniques (16 papers), Spam and Phishing Detection (14 papers), Anomaly Detection Techniques and Applications (12 papers), Digital and Cyber Forensics (10 papers), Digital Media Forensic Detection (9 papers) and Adversarial Robustness in Machine Learning (8 papers). The work is most often cited by research in Signal Processing (568 citations), Software (128 citations), Computer Networks and Communications (496 citations), Information Systems (297 citations) and Artificial Intelligence (241 citations). P. Vinod has collaborated with scholars based in India, Italy and United Kingdom. Frequent co-authors include Mauro Conti, Vijay Laxmi, Manoj Singh Gaur, Varun G. Menon, Suleiman Y. Yerima, Prabin Kumar Bora, Corrado Aaron Visaggio, Parvez Faruki, Jemal Abawajy and Zahra Pooranian. Their work appears in journals such as Journal of Information Security and Applications, Electronics, Computer Communications, Journal of Computer Virology and Hacking Techniques and International Journal of Information Security.
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.