M. Sethumadhavan

1.3k total citations · 1 hit paper
44 papers, 632 citations indexed

About

M. Sethumadhavan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, M. Sethumadhavan has authored 44 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 15 papers in Information Systems and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in M. Sethumadhavan's work include Coding theory and cryptography (10 papers), Network Security and Intrusion Detection (8 papers) and Chaos-based Image/Signal Encryption (8 papers). M. Sethumadhavan is often cited by papers focused on Coding theory and cryptography (10 papers), Network Security and Intrusion Detection (8 papers) and Chaos-based Image/Signal Encryption (8 papers). M. Sethumadhavan collaborates with scholars based in India, United States and Australia. M. Sethumadhavan's co-authors include M. Sindhu, Ramakrishnan Krishnan, K. Suthendran, Thomas W. Cusick, Bharat Jayaraman, Seshadhri Srinivasan, Jüri Vain, Manthan Patel, Mujahid Abbas and Saibal K. Pal and has published in prestigious journals such as Scientific Reports, IEEE Access and Multimedia Tools and Applications.

In The Last Decade

M. Sethumadhavan

40 papers receiving 602 citations

Hit Papers

Survey of consensus protocols on blockchain applications 2017 2026 2020 2023 2017 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Survey of consensus protocols on blockchain applications
    2017 282 citations M. Sindhu, M. Sethumadhavan et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Sethumadhavan India 9 353 227 173 112 78 44 632
Federico Michele Facca Italy 12 405 1.1× 193 0.9× 213 1.2× 72 0.6× 45 0.6× 30 591
Morteza Analoui Iran 14 294 0.8× 418 1.8× 133 0.8× 68 0.6× 59 0.8× 93 656
Maurizio Pizzonia Italy 12 192 0.5× 336 1.5× 156 0.9× 87 0.8× 42 0.5× 45 571
Erich Schikuta Austria 15 433 1.2× 418 1.8× 257 1.5× 79 0.7× 31 0.4× 108 777
Jordi Herrera‐Joancomartí Spain 19 425 1.2× 272 1.2× 432 2.5× 121 1.1× 65 0.8× 61 913
Branislav Kveton United States 13 183 0.5× 215 0.9× 428 2.5× 64 0.6× 95 1.2× 68 672
Ravi Mukkamala United States 13 290 0.8× 476 2.1× 211 1.2× 60 0.5× 101 1.3× 127 794
Nicholas Kolokotronis Greece 11 221 0.6× 214 0.9× 224 1.3× 76 0.7× 152 1.9× 64 544
Maria Carla Calzarossa Italy 13 388 1.1× 496 2.2× 144 0.8× 35 0.3× 48 0.6× 54 707
Kamran Zamanifar Iran 16 287 0.8× 312 1.4× 228 1.3× 87 0.8× 121 1.6× 68 796

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-authorship network of co-authors of M. Sethumadhavan

This figure shows the co-authorship network connecting the top 25 collaborators of M. Sethumadhavan. A scholar is included among the top collaborators of M. Sethumadhavan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Sethumadhavan. M. Sethumadhavan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Patel, Manthan, et al.. (2024). DDoS Attack Detection Model using Machine Learning Algorithm in Next Generation Firewall. Procedia Computer Science. 233. 175–183. 3 indexed citations
2.
Adhikari, Avishek, et al.. (2023). Proactive visual cryptographic schemes for general access structures. Multimedia Tools and Applications. 82(27). 41987–42019. 1 indexed citations
3.
Sethumadhavan, M., et al.. (2023). SSH-DAuth: secret sharing based decentralized OAuth using decentralized identifier. Scientific Reports. 13(1). 18335–18335. 2 indexed citations
4.
Sethumadhavan, M., et al.. (2020). DNS Security - Prevent DNS Cache Poisoning Attack using Blockchain. International Journal of Innovative Technology and Exploring Engineering. 9(4). 2151–2162.
5.
Sethumadhavan, M., et al.. (2020). Video Game DRM: Analysis and Paradigm Solution. 1–4. 3 indexed citations
6.
Sethumadhavan, M., et al.. (2019). Anti-forensic Approach to Remove StegoContent from Images and Videos. Journal of Cyber Security and Mobility. 8(3). 295–320. 7 indexed citations
7.
Chithra, S., et al.. (2019). Hardware Random Number GeneratorUsing FPGA. Journal of Cyber Security and Mobility. 8(4). 409–418.
8.
Srinivasan, Seshadhri, et al.. (2019). Formal Methods Based Security for Cloud-based Manufacturing Cyber Physical System. IFAC-PapersOnLine. 52(13). 1198–1203. 6 indexed citations
9.
Sethumadhavan, M., et al.. (2018). The Art of Piecewise Hashing: A StepToward Better Evidence Provability. Journal of Cyber Security and Mobility. 7(1). 109–130. 2 indexed citations
10.
Devi, M. Nirmala, et al.. (2018). A Selective Generation of Hybrid Random Numbers via Android Smart Phones. 118(8). 1 indexed citations
11.
Sindhu, M., et al.. (2017). Survey of consensus protocols on blockchain applications. 1–5. 282 indexed citations breakdown →
12.
Sethumadhavan, M., et al.. (2017). Visual cryptographic schemes using combined Boolean operations. Journal of Discrete Mathematical Sciences and Cryptography. 20(2). 413–437. 6 indexed citations
13.
Sindhu, M., et al.. (2017). On Federated and Proof Of Validation Based Consensus Algorithms In Blockchain. IOP Conference Series Materials Science and Engineering. 225. 12198–12198. 11 indexed citations
14.
Cusick, Thomas W., et al.. (2016). Affine equivalence of monomial rotation symmetric Boolean functions: A Pólya’s theorem approach. Journal of Mathematical Cryptology. 10(3-4). 145–156. 5 indexed citations
15.
Sethumadhavan, M., et al.. (2016). On the Removal of Steganographic Content from Images. Defence Science Journal. 66(6). 574–574. 14 indexed citations
16.
Sethumadhavan, M., et al.. (2016). An Authenticated Key Agreement Scheme using Vector Decomposition. Defence Science Journal. 66(6). 594–594. 1 indexed citations
17.
Sethumadhavan, M., et al.. (2014). Counting rotation symmetric functions using Polya’s theorem. Discrete Applied Mathematics. 169. 162–167. 5 indexed citations
18.
Kumar, T. Gireesh, et al.. (2010). Fuzzy Support Vector Machine-based Multi-agent Optimal Path Planning Approach to Robotics Environment.. Defence Science Journal. 60(4). 2 indexed citations
19.
Sethumadhavan, M., et al.. (2010). Cyber Security, Cyber Crime and Cyber Forensics: Applications and Perspectives. 8 indexed citations
20.
Sethumadhavan, M.. (2006). Discrete Mathematics and Its Applications. 136 indexed citations

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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