Joydeep Biswas

2.4k citations
77 papers · 1.4k · h-index 17

Impact in

Papers in

Joydeep Biswas

66 papers receiving 1.3k citations

Peers

Joydeep Biswas
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 692
  • Aerospace Engineering 510
  • Geology 77
  • Artificial Intelligence 360
  • Control and Systems Engineering 217
Replace Cipriano Galindo with:
Cipriano Galindo Spain
Juan‐Antonio Fernández‐Madrigal Spain
Christoph Sprunk Germany
Denis F. Wolf Brazil
David Stavens United States
David Filliat France
Tully Foote United States
Chieh‐Chih Wang Taiwan
Seiichi Mita Japan
Rui P. Rocha Portugal
Joydeep Biswas relative to Cipriano Galindo Spain Cipriano Galindo's profile →
Citations per field
00.5×3.4×
Cipriano Galindo · 1×
Citations per year

Countries citing papers authored by Joydeep Biswas

Since Specialization
Citations

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

Fields of papers citing papers by Joydeep Biswas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012246
2 2010205
3
CoBots: robust symbiotic autonomous mobile service robots
201599
4 201097
5 202264
6 201352
7 202145
8 201236
9 201134
10 201329
11 202227
12 201625
13 201924
14 201422
15 201420
16 202220
17 201916
18 202216
19 201616
20 201215

About Joydeep Biswas

Joydeep Biswas is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (29 papers), Robotic Path Planning Algorithms (23 papers), Social Robot Interaction and HRI (9 papers), Reinforcement Learning in Robotics (8 papers), Robot Manipulation and Learning (7 papers), Robotics and Automated Systems (6 papers), Modular Robots and Swarm Intelligence (6 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (692 citations), Aerospace Engineering (510 citations), Geology (77 citations), Artificial Intelligence (360 citations) and Control and Systems Engineering (217 citations). Joydeep Biswas has collaborated with scholars based in United States, India and Portugal. Frequent co-authors include Manuela Veloso, Stephanie Rosenthal, Brian Coltin, Xuesu Xiao, Peter Stone, Garrett Warnell, Haresh Karnan, Çetin Meriçli, Manuela Veloso and Justin Hart. Their work appears in journals such as IEEE Robotics and Automation Letters, Artificial Intelligence, IEEE Transactions on Mobile Computing, IEEE Software and IEEE Transactions on Robotics.

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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