Nilanjan Datta

72 total papers · 527 total citations
35 papers, 194 citations indexed

About

Nilanjan Datta is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Nilanjan Datta has authored 35 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Theory and Mathematics. Recurrent topics in Nilanjan Datta's work include Cryptographic Implementations and Security (26 papers), Coding theory and cryptography (22 papers) and Cryptography and Data Security (14 papers). Nilanjan Datta is often cited by papers focused on Cryptographic Implementations and Security (26 papers), Coding theory and cryptography (22 papers) and Cryptography and Data Security (14 papers). Nilanjan Datta collaborates with scholars based in India, Japan and Netherlands. Nilanjan Datta's co-authors include Mridul Nandi, Kan Yasuda, Avijit Dutta, Cuauhtémoc Mancillas-López, Goutam Paul, Debdeep Mukhopadhyay, Sikhar Patranabis, Bart Mennink, Lilian Bossuet and Shivam Bhasin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Computers and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

Nilanjan Datta

32 papers receiving 186 citations

Author Peers

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

Author						Papers	Cites
Nilanjan Datta	181	123	29	14	11	35	194
Jie Guan	171 0.9×	138 1.1×	35 1.2×	14 1.0×	10 0.9×	56	196
Jaechul Sung	122 0.7×	91 0.7×	34 1.2×	22 1.6×	5 0.5×	39	137
Chun Guo	112 0.6×	70 0.6×	27 0.9×	13 0.9×	7 0.6×	28	125
Olivier Bronchain	125 0.7×	57 0.5×	70 2.4×	33 2.4×	16 1.5×	22	143
Kazumaro Aoki	110 0.6×	72 0.6×	9 0.3×	11 0.8×	9 0.8×	22	128
Jongwook Choi	102 0.6×	193 1.6×	9 0.3×	6 0.4×	6 0.5×	25	236
Jérémy Jean	208 1.1×	100 0.8×	23 0.8×	23 1.6×	17 1.5×	22	228
Paweł Morawiecki	115 0.6×	76 0.6×	31 1.1×	16 1.1×	17 1.5×	24	172
Anubhab Baksi	171 0.9×	72 0.6×	54 1.9×	23 1.6×	55 5.0×	28	201
Gaëtan Cassiers	201 1.1×	81 0.7×	126 4.3×	45 3.2×	18 1.6×	21	222

Countries citing papers authored by Nilanjan Datta

Since Specialization

Citations

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

Fields of papers citing papers by Nilanjan Datta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nilanjan Datta

This figure shows the co-authorship network connecting the top 25 collaborators of Nilanjan Datta. A scholar is included among the top collaborators of Nilanjan Datta 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 Nilanjan Datta. Nilanjan Datta 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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