P. Vinod

77 papers receiving 709 citations

Peers

P. Vinod
Comparison fields: 5 of 57
  • Signal Processing 568
  • Software 128
  • Computer Networks and Communications 496
  • Information Systems 297
  • Artificial Intelligence 241
Replace Andrii Shalaginov with:
Andrii Shalaginov Norway
Junyang Qiu China
Syed Zainudeen Mohd Shaid Malaysia
Qussai Yaseen Jordan
Yunhan Jia United States
Asankhaya Sharma Singapore
G. Narsimha India
Matthew L. Dering United States
Weizhong Qiang China
P. Vinod relative to Andrii Shalaginov Norway Andrii Shalaginov's profile →
Citations per field
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Citations per year

Countries citing papers authored by P. Vinod

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with P. Vinod Line = papers co-authored together P. Vinod links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202157
2 201841
3 202036
4 201635
5 202134
6 202430
7 201230
8 201229
9 201427
10 202223
11 201422
12 202021
13 200921
14 200619
15 202116
16 202115
17 202315
18 201514
19 202214
20 202113

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.

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