Arindam Das

26 papers receiving 1.4k citations

Hit Papers

A vision-based formation control framework20022026201020182002250500750

Peers

Arindam Das
Comparison fields: 5 of 79
  • Computer Networks and Communications 996
  • Computer Vision and Pattern Recognition 752
  • Control and Systems Engineering 570
  • Aerospace Engineering 404
  • Mechanical Engineering 361
Replace John Spletzer with:
John Spletzer United States
Alexandre S. Brandão Brazil
Zhiqiang Miao China
Gian Luca Mariottini United States
Paolo Pirjanian United States
Fabio Ruggiero Italy
Haoyao Chen China
Jawhar Ghommam Canada
Mark Moors Germany
Eduardo Montijano Spain
Arindam Das relative to John Spletzer United States John Spletzer's profile →
Citations per field
00.5×1.6×
John Spletzer · 1×
Citations per year

Countries citing papers authored by Arindam Das

Since Specialization
Citations

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

Fields of papers citing papers by Arindam Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arindam Das

This figure shows the co-authorship network connecting the top 25 collaborators of Arindam Das. A scholar is included among the top collaborators of Arindam Das 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 Arindam Das. Arindam Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 4
4 6
5 73
6 1
7 1
8 6
9 1
10 2
11
Unified Modeling of Proactive Interference and Memorization Effort: A new mathematical perspective within ACT-R theory.
1
12 12
13 2
14 2
15 17
16 9
17 26
18 153
19 75
20
Employing Omnidirectional Visual Control for Mobile Robotics.
1

About Arindam Das

Arindam Das is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Networks and Communications, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (7 papers), Distributed Control Multi-Agent Systems (6 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Computer Networks and Communications (996 citations), Computer Vision and Pattern Recognition (752 citations) and Control and Systems Engineering (570 citations). Arindam Das has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Rafael Fierro, Vijay Kumar, J.P. Ostrowski, John Spletzer, Camillo J. Taylor, Senthil Yogamani, Ujjwal Bhattacharya, Sudip Das, B. Southall and Vijay Kumar. Their work appears in journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Robotics and Automation.

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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