M. Sethumadhavan

40 papers receiving 602 citations

Hit Papers

Survey of consensus protocols on blockchain applications 2017 · 282 citations
2820+3+6Years since publication50100150200250

Peers

M. Sethumadhavan
Comparison fields: 5 of 90
  • Information Systems 353
  • Computer Networks and Communications 227
  • Management Information Systems 52
  • Computer Vision and Pattern Recognition 112
  • Artificial Intelligence 173
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Countries citing papers authored by M. Sethumadhavan

Since Specialization
Citations

This map shows the geographic impact of M. Sethumadhavan'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 M. Sethumadhavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Sethumadhavan more than expected).

Fields of papers citing papers by M. Sethumadhavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Sethumadhavan. 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 M. Sethumadhavan. The network helps show where M. Sethumadhavan may publish in the future.

Co-authors

The 19 scholars most cited alongside M. Sethumadhavan, 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 M. Sethumadhavan Line = papers co-authored together M. Sethumadhavan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Survey of consensus protocols on blockchain applications
Hit paper breakdown →
2017282
2
Discrete Mathematics and Its Applications
2006136
3 201631
4 201418
5 201817
6 201614
7 201711
8 202010
9 20179
10
Cyber Security, Cyber Crime and Cyber Forensics: Applications and Perspectives
20108
11 20158
12 20197
13 20177
14 20176
15 20196
16 20126
17 20145
18 20165
19 20185
20 20214

About M. Sethumadhavan

M. Sethumadhavan is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 44 papers that have together received 632 indexed citations. Recurring topics across this work include Coding theory and cryptography (10 papers), Network Security and Intrusion Detection (8 papers), Chaos-based Image/Signal Encryption (8 papers), Advanced Steganography and Watermarking Techniques (7 papers), graph theory and CDMA systems (6 papers), Cryptography and Data Security (6 papers), Cryptographic Implementations and Security (6 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Information Systems (353 citations), Computer Networks and Communications (227 citations), Management Information Systems (52 citations), Computer Vision and Pattern Recognition (112 citations) and Artificial Intelligence (173 citations). M. Sethumadhavan has collaborated with scholars based in India, United States and Australia. Frequent co-authors include M. Sindhu, K. Suthendran, Thomas W. Cusick, Ramakrishnan Krishnan, Bharat Jayaraman, Jüri Vain, Seshadhri Srinivasan, Manthan Patel, Mujahid Abbas and Saibal K. Pal. Their work appears in journals such as Discrete Applied Mathematics, Multimedia Tools and Applications, Wireless Personal Communications, Scientific Reports and IET 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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