Ayan Dutta

821 citations
47 papers · 480 · h-index 13

Impact in

Papers in

Ayan Dutta

44 papers receiving 467 citations

Peers

Ayan Dutta
Comparison fields: 5 of 64
  • Computer Networks and Communications 196
  • Computer Vision and Pattern Recognition 122
  • Control and Systems Engineering 91
  • Mechanical Engineering 140
  • Management Science and Operations Research 40
Replace Donato Di Paola with:
Donato Di Paola Italy
Eric T. Matson United States
Foudil Cherif Algeria
G. Ayorkor Korsah United States
V. A. Ziparo Italy
Carlos C. Insaurralde United Kingdom
Luke B. Johnson United States
Reinaldo A. C. Bianchi Brazil
Ayan Dutta relative to Donato Di Paola Italy Donato Di Paola's profile →
Citations per field
00.5×4.2×
Donato Di Paola · 1×
Citations per year

Countries citing papers authored by Ayan Dutta

Since Specialization
Citations

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

Fields of papers citing papers by Ayan Dutta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202377
2 201352
3 202134
4 201634
5 201927
6 201921
7 202021
8 201819
9 201917
10 202116
11 202114
12 201913
13 201712
14 202212
15 201910
16 20199
17 20228
18 20178
19 20217
20 20196

About Ayan Dutta

Ayan Dutta is a scholar working on Computer Networks and Communications, Mechanical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Management Science and Operations Research, having authored 47 papers that have together received 480 indexed citations. Recurring topics across this work include Optimization and Search Problems (20 papers), Modular Robots and Swarm Intelligence (12 papers), Distributed Control Multi-Agent Systems (11 papers), Robotic Path Planning Algorithms (10 papers), Robotics and Sensor-Based Localization (6 papers), Auction Theory and Applications (6 papers), Reinforcement Learning in Robotics (6 papers) and Blockchain Technology Applications and Security (5 papers). The work is most often cited by research in Computer Networks and Communications (196 citations), Computer Vision and Pattern Recognition (122 citations), Control and Systems Engineering (91 citations), Mechanical Engineering (140 citations) and Management Science and Operations Research (40 citations). Ayan Dutta has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Prithviraj Dasgupta, O. Patrick Kreidl, Carl A. Nelson, Ladislau Bölöni, Swapnoneel Roy, Asai Asaithambi, Shakhawat Hossain, Anirban Ghosh, Gokarna Sharma and Jonghoon Kim. Their work appears in journals such as Robotics and Autonomous Systems, Robotica, Electronics, Intelligent Service Robotics and Journal of Intelligent & Robotic Systems.

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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