Ayan Dutta

858 citations
47 papers · 502 · h-index 13

Impact in

Papers in

Ayan Dutta

44 papers receiving 489 citations

Peers

Ayan Dutta
Comparison fields: 5 of 65
  • Computer Networks and Communications 202
  • Computer Vision and Pattern Recognition 125
  • Control and Systems Engineering 90
  • Mechanical Engineering 142
  • Aerospace Engineering 81
Replace Donato Di Paola with:
Donato Di Paola Italy
Eric T. Matson United States
Alfredo Navarra Italy
G. Ayorkor Korsah United States
V. A. Ziparo Italy
Luke B. Johnson United States
Amanda Whitbrook United Kingdom
Krzysztof Trojanowski Poland
Reinaldo A. C. Bianchi Brazil
Ayan Dutta relative to Donato Di Paola Italy Donato Di Paola's profile →
Citations per field
00.5×4.1×
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 202384
2 201353
3 202138
4 201634
5 201927
6 202023
7 201921
8 201819
9 201917
10 202116
11 202116
12 202215
13 201913
14 201712
15 201910
16 20229
17 20199
18 20218
19 20178
20 20206

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 502 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), Auction Theory and Applications (6 papers), Reinforcement Learning in Robotics (6 papers), Robotics and Sensor-Based Localization (6 papers) and Blockchain Technology Applications and Security (5 papers). The work is most often cited by research in Computer Networks and Communications (202 citations), Computer Vision and Pattern Recognition (125 citations), Control and Systems Engineering (90 citations), Mechanical Engineering (142 citations) and Aerospace Engineering (81 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, Swapnoneel Roy, Ladislau Bölöni, Asai Asaithambi, Shakhawat Hossain, Anirban Ghosh, Gokarna Sharma and Jonghoon Kim. Their work appears in journals such as Robotica, Internet of Things, IEEE Transactions on Systems Man and Cybernetics Systems, Robotics and Autonomous Systems 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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