Souvik Hazra

546 total citations
19 papers, 374 citations indexed

About

Souvik Hazra is a scholar working on Biomedical Engineering, Aerospace Engineering and Human-Computer Interaction. According to data from OpenAlex, Souvik Hazra has authored 19 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 9 papers in Aerospace Engineering and 5 papers in Human-Computer Interaction. Recurrent topics in Souvik Hazra's work include Advanced SAR Imaging Techniques (8 papers), Non-Invasive Vital Sign Monitoring (7 papers) and Hand Gesture Recognition Systems (5 papers). Souvik Hazra is often cited by papers focused on Advanced SAR Imaging Techniques (8 papers), Non-Invasive Vital Sign Monitoring (7 papers) and Hand Gesture Recognition Systems (5 papers). Souvik Hazra collaborates with scholars based in Germany, Austria and Canada. Souvik Hazra's co-authors include Avik Santra, Robert Weigel, Lorenzo Servadei, Robert Wille, Wolfgang Ecker, Michael Stephan, Georg Fischer, Andreas Maier, Anand Prakash Dubey and Sabyasachi Mukhopadhyay and has published in prestigious journals such as IEEE Access, IEEE Sensors Journal and IEEE Sensors Letters.

In The Last Decade

Souvik Hazra

18 papers receiving 364 citations

Peers

Souvik Hazra
Xiaoran Fan United States
J. Soumya India
Zhijian Yang United States
Andrew Symington United Kingdom
Souvik Hazra
Citations per year, relative to Souvik Hazra Souvik Hazra (= 1×) peers Muhammad Arsalan

Countries citing papers authored by Souvik Hazra

Since Specialization
Citations

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

Fields of papers citing papers by Souvik Hazra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Souvik Hazra

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

All Works

19 of 19 papers shown
1.
Hazra, Souvik, et al.. (2025). Enhancing FMCW Radar Gesture Classification With Physically Interpretable Data Augmentation. IEEE Access. 13. 60556–60569.
2.
Hazra, Souvik, et al.. (2025). Multirange Breathing Rate Estimation With Deep Learning Using FMCW Radar. IEEE Sensors Journal. 25(11). 20015–20023. 1 indexed citations
3.
Hazra, Souvik, et al.. (2024). Deep Learning Classifier for Robust Artifact Rejection in FMCW Radar Vital Sensing. IEEE Sensors Journal. 25(13). 23304–23311. 1 indexed citations
5.
Hazra, Souvik, et al.. (2023). Robust Radar-Based Vital Sensing With Adaptive Sinc Filtering and Random Body Motion Rejections. IEEE Sensors Letters. 7(5). 1–4. 11 indexed citations
6.
Hazra, Souvik, et al.. (2023). RadarSleepNet: Sleep Pose Classification via PointNet++ and 5D Radar Point Clouds. 1–6. 4 indexed citations
7.
Santra, Avik, et al.. (2022). Methods and Techniques in Deep Learning. 3 indexed citations
8.
Servadei, Lorenzo, et al.. (2022). Label-Aware Ranked Loss for Robust People Counting Using Automotive In-Cabin Radar. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3883–3887. 12 indexed citations
9.
Hazra, Souvik, Michael Stephan, Lorenzo Servadei, et al.. (2022). Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition. 350–354. 7 indexed citations
10.
Stephan, Michael, Souvik Hazra, Avik Santra, Robert Weigel, & Georg Fischer. (2021). People Counting Solution Using an FMCW Radar with Knowledge Distillation From Camera Data. 2021 IEEE Sensors. 1–4. 14 indexed citations
11.
Servadei, Lorenzo, et al.. (2021). A Survey of Graph Neural Networks for Electronic Design Automation. 1–6. 51 indexed citations
12.
Hazra, Souvik, et al.. (2021). Radar-Based Efficient Gait Classification using Gaussian Prototypical Networks. 1–5. 10 indexed citations
13.
Hazra, Souvik, et al.. (2020). Multi-Modal Cross Learning for Improved People Counting using Short-Range FMCW Radar. 250–255. 27 indexed citations
14.
Santra, Avik & Souvik Hazra. (2020). Deep Learning Applications of Short-Range Radars. 28 indexed citations
15.
Hazra, Souvik, et al.. (2019). Radar-Based Non-intrusive Fall Motion Recognition using Deformable Convolutional Neural Network. 1717–1724. 10 indexed citations
16.
Hazra, Souvik & Avik Santra. (2019). Radar Gesture Recognition System in Presence of Interference using Self-Attention Neural Network. 1409–1414. 22 indexed citations
17.
Hazra, Souvik & Avik Santra. (2019). Short-Range Radar-Based Gesture Recognition System Using 3D CNN With Triplet Loss. IEEE Access. 7. 125623–125633. 53 indexed citations
18.
Hazra, Souvik & Avik Santra. (2018). Robust Gesture Recognition Using Millimetric-Wave Radar System. IEEE Sensors Letters. 2(4). 1–4. 117 indexed citations
19.
Panigrahi, Prasanta K., et al.. (2018). Early stage detection of precancer using variational mode decomposition and artificial neural network. 1512.06014. 77–77. 2 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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