Sumit Datta

35 papers receiving 300 citations

Sumit Datta's Hit Papers

Applications, Challenges, and Future Directions of Human-in-the-Loop Learning 2024 · 73 citations
730+1Years since publication204060

Peers

Sumit Datta
Comparison fields: 5 of 72
  • Health Informatics 14
  • Radiology, Nuclear Medicine and Imaging 86
  • Computer Vision and Pattern Recognition 59
  • Computational Mechanics 51
  • Cardiology and Cardiovascular Medicine 32
Replace Thierry Brouard with:
Thierry Brouard France
Yu Deng United States
Lechao Cheng China
Chaitanya Kaul United Kingdom
Solon A. Peixoto Brazil
Kun Han China
S Abhishek India
Xin Rong Zhong United States
Teena Sharma India
Vladimir Zlokolica Serbia
Sumit Datta relative to Thierry Brouard France Thierry Brouard's profile →
Citations per field
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Thierry Brouard · 1×
Citations per year

Countries citing papers authored by Sumit Datta

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Sumit Datta, 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 Sumit Datta Line = papers co-authored together Sumit Datta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Applications, Challenges, and Future Directions of Human-in-the-Loop Learning
Hit paper breakdown →
202473
2 202428
3 201816
4 202315
5 201714
6 202014
7 201813
8 201612
9 202012
10 202210
11 202210
12 20239
13 20168
14 20188
15 20177
16 20207
17 20185
18 20164
19 20194
20
Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms: A Convex Optimization Approach
20194

About Sumit Datta

Sumit Datta is a scholar working on Computational Mechanics, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 41 papers that have together received 304 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (21 papers), Advanced MRI Techniques and Applications (18 papers), ECG Monitoring and Analysis (7 papers), Advanced Image Processing Techniques (6 papers), Image and Signal Denoising Methods (5 papers), Wireless Body Area Networks (4 papers), Artificial Intelligence Applications (2 papers) and Phonocardiography and Auscultation Techniques (1 paper). The work is most often cited by research in Health Informatics (14 citations), Radiology, Nuclear Medicine and Imaging (86 citations), Computer Vision and Pattern Recognition (59 citations), Computational Mechanics (51 citations) and Cardiology and Cardiovascular Medicine (32 citations). Sumit Datta has collaborated with scholars based in India and United States. Frequent co-authors include Bhabesh Deka, Sanjay Kumar Singh, Vishakha Singh, Ritesh Sharma, Deepanwita Datta, Samarendra Dandapat, Prabin Kumar Bora, Shrikant Tiwari, Joseph Suresh Paul and Alex Pappachen James. Their work appears in journals such as Biomedical Signal Processing and Control, IEEE Access, IEEE Signal Processing Letters, IEEE Technology and Society Magazine and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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