Arindam Sengupta

23 papers receiving 535 citations

Arindam Sengupta's Hit Papers

mm-Pose: Real-Time Human Skeletal Posture Estimation Using mmWave Radars and CNNs 2020 · 270 citations
2700+2+4Years since publication50100150200250

Peers

Arindam Sengupta
Comparison fields: 5 of 80
  • Human-Computer Interaction 122
  • Instrumentation 34
  • Computer Vision and Pattern Recognition 181
  • Aerospace Engineering 211
  • Biomedical Engineering 204
Replace Sameera Palipana with:
Sameera Palipana Finland
Samir A. Rawashdeh United States
Youwei Zeng China
Lijie Fan United States
Zhen Meng China
Miguel Ribo Austria
Sohee Lim South Korea
Srikumar Ramalingam United States
Selim Benhimane Germany
Arindam Sengupta relative to Sameera Palipana Finland Sameera Palipana's profile →
Citations per field
00.5×5.7×
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Citations per year

Countries citing papers authored by Arindam Sengupta

Since Specialization
Citations

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

Fields of papers citing papers by Arindam Sengupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Arindam Sengupta, 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 Arindam Sengupta Line = papers co-authored together Arindam Sengupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
mm-Pose: Real-Time Human Skeletal Posture Estimation Using mmWave Radars and CNNs
Hit paper breakdown →
2020270
2 202077
3 202240
4 201930
5 202028
6 202422
7 202216
8 202311
9 20228
10 20037
11 20007
12 20206
13 20035
14 19953
15 20143
16 20153
17 20132
18 20161
19 20011
20 20141

About Arindam Sengupta

Arindam Sengupta is a scholar working on Aerospace Engineering, Mathematical Physics, Finance, Artificial Intelligence and Biomedical Engineering, having authored 24 papers that have together received 544 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (5 papers), Stochastic processes and statistical mechanics (4 papers), Infrared Target Detection Methodologies (4 papers), Probability and Risk Models (3 papers), Hand Gesture Recognition Systems (3 papers), Gait Recognition and Analysis (3 papers), Advanced Statistical Methods and Models (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Human-Computer Interaction (122 citations), Instrumentation (34 citations), Computer Vision and Pattern Recognition (181 citations), Aerospace Engineering (211 citations) and Biomedical Engineering (204 citations). Arindam Sengupta has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Siyang Cao, Feng Jin, Renyuan Zhang, Atsushi Yoshizawa, Arup Bose, Shuting Hu, Erik D. Engeberg, Arjuna Madanayake, Roberto Gómez‐García and Leonid Belostotski. Their work appears in journals such as Journal of Theoretical Probability, Journal of Applied Probability, International Statistical Review, IEEE Transactions on Intelligent Transportation Systems and International Journal of Circuit Theory and Applications.

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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