Aveek Das

40 papers receiving 756 citations

Peers

Aveek Das
Comparison fields: 5 of 81
  • Computer Networks and Communications 429
  • Computer Vision and Pattern Recognition 297
  • Aerospace Engineering 154
  • Artificial Intelligence 169
  • Signal Processing 52
Replace Mauro Tropea with:
Mauro Tropea Italy
Daniele Puccinelli Switzerland
Vinod Kulathumani United States
Maurice Chu United States
Peppino Fazio Italy
Dan Tao China
Victor Bahl United States
Philipp Sommer Switzerland
Debraj De United States
Aveek Das relative to Mauro Tropea Italy Mauro Tropea's profile →
Citations per field
00.5×1.5×1.9×
Mauro Tropea · 1×
Citations per year

Countries citing papers authored by Aveek Das

Since Specialization
Citations

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

Fields of papers citing papers by Aveek Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006139
2 2002130
3 201698
4 200569
5
Decentralized motion planning for multiple robots subject to sensing and communication constraints
200347
6 201132
7 201431
8 201331
9 201521
10 201620
11 201119
12 201716
13 201414
14 201612
15 201110
16 202010
17 200310
18 20079
19 20028
20 20178

About Aveek Das

Aveek Das is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering and Control and Systems Engineering, having authored 40 papers that have together received 809 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (13 papers), Robotics and Sensor-Based Localization (8 papers), Green IT and Sustainability (7 papers), Distributed Control Multi-Agent Systems (7 papers), Modular Robots and Swarm Intelligence (5 papers), Human Mobility and Location-Based Analysis (5 papers), Advanced Vision and Imaging (4 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Computer Networks and Communications (429 citations), Computer Vision and Pattern Recognition (297 citations), Aerospace Engineering (154 citations), Artificial Intelligence (169 citations) and Signal Processing (52 citations). Aveek Das has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Prasant Mohapatra, Vijay Kumar, Parth H. Pathak, Chen‐Nee Chuah, Rafael Fierro, Guilherme A. S. Pereira, John Spletzer, Peng Song, Sanjiv Singh and Ronald Peterson. Their work appears in journals such as The International Journal of Robotics Research, Computer Networks, ACM Transactions on Internet Technology, Lecture notes in control and information sciences and IEEE Transactions on Mobile Computing.

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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