Santanu Sarkar

209 total papers · 1.8k total citations
82 papers, 674 citations indexed

About

Santanu Sarkar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Santanu Sarkar has authored 82 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Santanu Sarkar's work include Cryptographic Implementations and Security (47 papers), Coding theory and cryptography (44 papers) and Chaos-based Image/Signal Encryption (25 papers). Santanu Sarkar is often cited by papers focused on Cryptographic Implementations and Security (47 papers), Coding theory and cryptography (44 papers) and Chaos-based Image/Signal Encryption (25 papers). Santanu Sarkar collaborates with scholars based in India, United States and Japan. Santanu Sarkar's co-authors include Subhamoy Maitra, Subhadeep Banik, Goutam Paul, Sourav Sen Gupta, A. K. Choudhury, Atanu Biswas, Jyotirmoy Sarkar, Willi Meier, Anubhab Baksi and Bimal Roy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Scientific Reports.

In The Last Decade

Santanu Sarkar

74 papers receiving 634 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Santanu Sarkar 387 184 118 70 67 82 674
Dan E. Tamir 267 0.7× 67 0.4× 89 0.8× 245 3.5× 22 0.3× 56 607
Bernhard Moser 352 0.9× 118 0.6× 57 0.5× 88 1.3× 7 0.1× 56 666
Lang Li 436 1.1× 284 1.5× 15 0.1× 19 0.3× 60 0.9× 65 697
J.C.A. van der Lubbe 149 0.4× 191 1.0× 68 0.6× 63 0.9× 5 0.1× 35 602
Guoqing Xiao 241 0.6× 152 0.8× 15 0.1× 49 0.7× 135 2.0× 54 736
S. M. K. Quadri 114 0.3× 63 0.3× 55 0.5× 17 0.2× 17 0.3× 73 733
Anshumali Shrivastava 426 1.1× 405 2.2× 13 0.1× 35 0.5× 16 0.2× 70 749
J. William Atwood 147 0.4× 64 0.3× 21 0.2× 21 0.3× 53 0.8× 81 756
Ajay Kumar 348 0.9× 80 0.4× 10 0.1× 17 0.2× 24 0.4× 62 720
Yang Cao 264 0.7× 303 1.6× 16 0.1× 87 1.2× 24 0.4× 45 564

Countries citing papers authored by Santanu Sarkar

Since Specialization
Citations

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

Fields of papers citing papers by Santanu Sarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Santanu Sarkar

This figure shows the co-authorship network connecting the top 25 collaborators of Santanu Sarkar. A scholar is included among the top collaborators of Santanu Sarkar 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 Santanu Sarkar. Santanu Sarkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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