Samir Datta

1.5k citations
87 papers · 1.1k · h-index 20

Impact in

Papers in

Samir Datta

83 papers receiving 963 citations

Peers

Samir Datta
Comparison fields: 5 of 82
  • Signal Processing 272
  • Developmental Biology 32
  • Computational Theory and Mathematics 251
  • Computer Vision and Pattern Recognition 267
  • Computer Networks and Communications 271
Replace Jaap Haitsma with:
Jaap Haitsma Netherlands
Paul M. Baggenstoss United States
Hiroyuki Kasai Japan
Andrew Z. Tirkel Australia
Pao‐Chi Chang Taiwan
Wen Gao China
Laura Toni United Kingdom
Jean‐Yves Chouinard Canada
G. Kopec United States
Tomáš Werner Czechia
Samir Datta relative to Jaap Haitsma Netherlands Jaap Haitsma's profile →
Citations per field
00.5×7.6×
Jaap Haitsma · 1×
Citations per year

Countries citing papers authored by Samir Datta

Since Specialization
Citations

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

Fields of papers citing papers by Samir Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Samir Datta, 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 Samir Datta Line = papers co-authored together Samir Datta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001145
2 200655
3 200255
4 199842
5 200241
6 200040
7 200240
8 200939
9 200434
10 200332
11 200230
12 200528
13 200927
14 200925
15 200525
16 199624
17 200323
18 200622
19 197920
20 200519

About Samir Datta

Samir Datta is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (34 papers), Advanced Graph Theory Research (29 papers), Optimization and Search Problems (14 papers), Mobile Ad Hoc Networks (7 papers), semigroups and automata theory (6 papers), Computational Geometry and Mesh Generation (5 papers), Wireless Networks and Protocols (5 papers) and Opportunistic and Delay-Tolerant Networks (5 papers). The work is most often cited by research in Signal Processing (272 citations), Developmental Biology (32 citations), Computational Theory and Mathematics (251 citations), Computer Vision and Pattern Recognition (267 citations) and Computer Networks and Communications (271 citations). Samir Datta has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Omar Farooq, Amir Asif, Ibrahim S. I. Abuhaiba, Eric Allender, Ivan Stojmenović, Christopher Long, Sambuddha Roy, Raghav Kulkarni, Prajakta Nimbhorkar and Subir Biswas. Their work appears in journals such as Theory of Computing Systems, Electronics Letters, IEEE Transactions on Industry Applications, Journal of Computer and System Sciences and Lecture notes in computer science.

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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