Arindam Sengupta

823 total citations · 1 hit paper
24 papers, 519 citations indexed

About

Arindam Sengupta is a scholar working on Aerospace Engineering, Mathematical Physics and Finance. According to data from OpenAlex, Arindam Sengupta has authored 24 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aerospace Engineering, 5 papers in Mathematical Physics and 5 papers in Finance. Recurrent topics in Arindam Sengupta's work include Stochastic processes and financial applications (5 papers), Stochastic processes and statistical mechanics (4 papers) and Infrared Target Detection Methodologies (4 papers). Arindam Sengupta is often cited by papers focused on Stochastic processes and financial applications (5 papers), Stochastic processes and statistical mechanics (4 papers) and Infrared Target Detection Methodologies (4 papers). Arindam Sengupta collaborates with scholars based in United States, India and Canada. Arindam Sengupta's co-authors include Siyang Cao, Feng Jin, Renyuan Zhang, Atsushi Yoshizawa, Shuting Hu, Arup Bose, Roberto Gómez‐García, Erik D. Engeberg, Arjuna Madanayake and Leonid Belostotski and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Sensors Journal and International Statistical Review.

In The Last Decade

Arindam Sengupta

23 papers receiving 510 citations

Hit Papers

mm-Pose: Real-Time Human Skeletal Posture Estimation Usin... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arindam Sengupta United States 9 202 196 174 145 116 24 519
Sameera Palipana Finland 9 80 0.4× 152 0.8× 157 0.9× 377 2.6× 96 0.8× 14 560
Lijie Fan United States 9 55 0.3× 143 0.7× 369 2.1× 88 0.6× 36 0.3× 19 574
Eliane Bodanese United Kingdom 12 138 0.7× 112 0.6× 124 0.7× 231 1.6× 25 0.2× 52 507
Zhen Meng China 10 42 0.2× 124 0.6× 109 0.6× 305 2.1× 32 0.3× 27 464
Beom‐Seok Oh South Korea 13 209 1.0× 38 0.2× 159 0.9× 45 0.3× 15 0.1× 41 468
Miguel Ribo Austria 7 182 0.9× 20 0.1× 272 1.6× 67 0.5× 46 0.4× 15 357
Jean-Bernard Hayet Mexico 15 219 1.1× 61 0.3× 382 2.2× 45 0.3× 33 0.3× 47 539
Vladimír Kubelka Czechia 12 244 1.2× 46 0.2× 133 0.8× 107 0.7× 8 0.1× 18 383
Kevin Nickels United States 9 104 0.5× 60 0.3× 181 1.0× 56 0.4× 13 0.1× 31 327
Aveen Dayal Norway 10 50 0.2× 58 0.3× 114 0.7× 45 0.3× 92 0.8× 16 419

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-authorship network of co-authors of Arindam Sengupta

This figure shows the co-authorship network connecting the top 25 collaborators of Arindam Sengupta. A scholar is included among the top collaborators of Arindam Sengupta 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 Sengupta. Arindam Sengupta 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
1.
Sengupta, Arindam, et al.. (2024). Deep Learning-Based Robust Multi-Object Tracking via Fusion of mmWave Radar and Camera Sensors. IEEE Transactions on Intelligent Transportation Systems. 25(11). 17218–17233. 17 indexed citations
2.
Sengupta, Arindam, et al.. (2023). 3D Radar and Camera Co-Calibration: A flexible and Accurate Method for Target-based Extrinsic Calibration. UA Campus Repository (The University of Arizona). 1–6. 10 indexed citations
3.
Sengupta, Arindam, et al.. (2022). Robust Multiobject Tracking Using Mmwave Radar-Camera Sensor Fusion. IEEE Sensors Letters. 6(10). 1–4. 39 indexed citations
4.
Sengupta, Arindam, Atsushi Yoshizawa, & Siyang Cao. (2022). Automatic Radar-Camera Dataset Generation for Sensor-Fusion Applications. IEEE Robotics and Automation Letters. 7(2). 2875–2882. 16 indexed citations
5.
Sengupta, Arindam, et al.. (2021). Large-sample tests for comparing Likert-type scale data. Communication in Statistics- Theory and Methods. 51(5). 1179–1196. 1 indexed citations
6.
Sengupta, Arindam, Feng Jin, Renyuan Zhang, & Siyang Cao. (2020). mm-Pose: Real-Time Human Skeletal Posture Estimation Using mmWave Radars and CNNs. IEEE Sensors Journal. 20(17). 10032–10044. 257 indexed citations breakdown →
7.
Jin, Feng, Arindam Sengupta, & Siyang Cao. (2020). mmFall: Fall Detection Using 4-D mmWave Radar and a Hybrid Variational RNN AutoEncoder. IEEE Transactions on Automation Science and Engineering. 19(2). 1245–1257. 73 indexed citations
8.
Sengupta, Arindam, et al.. (2020). A Review of Recent Advancements Including Machine Learning on Synthetic Aperture Radar using Millimeter-Wave Radar. UA Campus Repository (The University of Arizona). 1–6. 6 indexed citations
9.
Sengupta, Arindam, Feng Jin, & Siyang Cao. (2020). NLP based Skeletal Pose Estimation using mmWave Radar Point-Cloud: A Simulation Approach. UA Campus Repository (The University of Arizona). 1–6. 25 indexed citations
10.
Sengupta, Arindam, Arjuna Madanayake, Roberto Gómez‐García, & Leonid Belostotski. (2016). Wide‐band aperture array using a four‐channel manifold‐type planar multiplexer and digital 2‐D IIR filterbank. International Journal of Circuit Theory and Applications. 44(12). 2085–2100. 1 indexed citations
11.
Sengupta, Arindam. (2015). Introduction to Probability. International Statistical Review. 83(3). 518–519. 3 indexed citations
12.
Sengupta, Arindam. (2014). A First Course in Machine Learning by Simon Rogers and Mark Girolami. International Statistical Review. 82(1). 158–159. 1 indexed citations
13.
Sengupta, Arindam, Arjuna Madanayake, Roberto Gómez‐García, & Erik D. Engeberg. (2014). Wideband aperture array using RF channelizers and massively parallel digital 2D IIR filterbank. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9077. 90771G–90771G. 3 indexed citations
14.
Sengupta, Arindam, et al.. (2013). Ban Estimates of Class Boundaries Under Likert-Type Scaling. Calcutta Statistical Association Bulletin. 65(1-4). 145–154. 2 indexed citations
15.
Sengupta, Arindam. (2008). Markov processes, time–space harmonic functions and polynomials. Statistics & Probability Letters. 78(18). 3277–3280. 1 indexed citations
16.
Bose, Arup, et al.. (2003). Convergence of lower records and infinite divisibility. Journal of Applied Probability. 40(4). 865–880.
17.
Bose, Arup, et al.. (2003). Asymptotic Properties of Sums of Upper Records. Extremes. 6(2). 147–164. 7 indexed citations
18.
Bose, Arup, et al.. (2003). Convergence of lower records and infinite divisibility. Journal of Applied Probability. 40(4). 865–880. 5 indexed citations
19.
Sengupta, Arindam. (2000). Time-Space Harmonic Polynomials for Continuous-Time Processes and an Extension. Journal of Theoretical Probability. 13(4). 951–976. 8 indexed citations
20.
Sengupta, Arindam, et al.. (1995). Time-space polynomial martingales cenerated by a discrete-time martingale. Journal of Theoretical Probability. 8(2). 417–432. 4 indexed citations

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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