Sanghamitra Dutta

856 total citations
20 papers, 227 citations indexed

About

Sanghamitra Dutta is a scholar working on Artificial Intelligence, Computer Networks and Communications and Cognitive Neuroscience. According to data from OpenAlex, Sanghamitra Dutta has authored 20 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Cognitive Neuroscience. Recurrent topics in Sanghamitra Dutta's work include Sparse and Compressive Sensing Techniques (3 papers), Ethics and Social Impacts of AI (3 papers) and Neural dynamics and brain function (2 papers). Sanghamitra Dutta is often cited by papers focused on Sparse and Compressive Sensing Techniques (3 papers), Ethics and Social Impacts of AI (3 papers) and Neural dynamics and brain function (2 papers). Sanghamitra Dutta collaborates with scholars based in United States, India and Spain. Sanghamitra Dutta's co-authors include Pulkit Grover, Viveck R. Cadambe, Haewon Jeong, Farzin Haddadpour, Dennis Wei, Kush R. Varshney, Pin‐Yu Chen, Praveen Venkatesh, Piotr Mardziel and Tze Meng Low and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Information Theory.

In The Last Decade

Sanghamitra Dutta

17 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanghamitra Dutta United States 7 145 84 32 21 18 20 227
Alicia P. Wolfe United States 5 138 1.0× 91 1.1× 11 0.3× 17 0.8× 1 0.1× 6 244
David Mandell Freeman United States 5 193 1.3× 63 0.8× 18 0.6× 32 1.5× 6 273
Zheng Gao United States 8 96 0.7× 35 0.4× 15 0.5× 29 1.4× 36 220
Fabian Boemer United States 7 174 1.2× 26 0.3× 16 0.5× 21 1.0× 3 0.2× 8 218
Thomas Given-Wilson France 9 96 0.7× 105 1.3× 35 1.1× 27 1.3× 25 203
Pere Vilà Spain 8 28 0.2× 109 1.3× 82 2.6× 8 0.4× 13 0.7× 45 210
Mehrdad Aliasgari United States 10 137 0.9× 74 0.9× 24 0.8× 28 1.3× 4 0.2× 25 252
Netanel Raviv United States 11 260 1.8× 212 2.5× 67 2.1× 82 3.9× 51 388
Tim Moon United States 6 164 1.1× 51 0.6× 39 1.2× 13 0.6× 9 224
Daniel V. Bailey United States 8 110 0.8× 45 0.5× 25 0.8× 21 1.0× 14 189

Countries citing papers authored by Sanghamitra Dutta

Since Specialization
Citations

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

Fields of papers citing papers by Sanghamitra Dutta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanghamitra Dutta

This figure shows the co-authorship network connecting the top 25 collaborators of Sanghamitra Dutta. A scholar is included among the top collaborators of Sanghamitra Dutta 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 Sanghamitra Dutta. Sanghamitra Dutta 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.
Dutta, Sanghamitra, et al.. (2025). VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 8(1). 812–823.
2.
3.
Dutta, Sanghamitra, et al.. (2024). Development of a Robust CNN Model for Mango Leaf Disease Detection and Classification: A Precision Agriculture Approach. ACS Agricultural Science & Technology. 4(8). 806–817. 6 indexed citations
4.
Magazzeni, Daniele, et al.. (2024). Robust Algorithmic Recourse Under Model Multiplicity With Probabilistic Guarantees. IEEE Journal on Selected Areas in Information Theory. 5. 357–368.
5.
6.
Chen, Jiahao, et al.. (2023). Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity. University Libraries (University of Maryland). 1358–1368. 3 indexed citations
7.
Dutta, Sanghamitra, et al.. (2023). A Review of Partial Information Decomposition in Algorithmic Fairness and Explainability. Entropy. 25(5). 795–795. 2 indexed citations
8.
Mathur, Puneet, Ramit Sawhney, Fu-Ming Guo, et al.. (2022). MONOPOLY. Proceedings of the 30th ACM International Conference on Multimedia. 2276–2285. 4 indexed citations
9.
Dutta, Sanghamitra, et al.. (2021). GTN-ED: Event Detection Using Graph Transformer Networks. 132–137. 4 indexed citations
10.
Venkatesh, Praveen, Sanghamitra Dutta, & Pulkit Grover. (2020). How else can we define Information Flow in Neural Circuits?. 2879–2884. 2 indexed citations
11.
Dutta, Sanghamitra, Haewon Jeong, Yaoqing Yang, et al.. (2020). Addressing Unreliability in Emerging Devices and Non-von Neumann Architectures Using Coded Computing. Proceedings of the IEEE. 108(8). 1219–1234. 12 indexed citations
12.
Dutta, Sanghamitra, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, & Pulkit Grover. (2020). An Information-Theoretic Quantification of Discrimination with Exempt Features. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 3825–3833. 10 indexed citations
13.
Dutta, Sanghamitra, et al.. (2019). Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing. arXiv (Cornell University). 24 indexed citations
14.
Venkatesh, Praveen, Sanghamitra Dutta, & Pulkit Grover. (2019). How should we define Information Flow in Neural Circuits?. 176–180. 5 indexed citations
15.
Dutta, Sanghamitra, et al.. (2019). An Information-Theoretic Perspective on the Relationship Between Fairness and Accuracy.. 4 indexed citations
16.
Dutta, Sanghamitra, Viveck R. Cadambe, & Pulkit Grover. (2019). “Short-Dot”: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products. IEEE Transactions on Information Theory. 65(10). 6171–6193. 90 indexed citations
17.
Jeong, Haewon, et al.. (2017). On the optimal recovery threshold of coded matrix multiplication. 46 indexed citations
18.
Dutta, Sanghamitra, et al.. (2016). Antioxidant and Free Radical Scavenging Activity of Trigonella foenum-graecum L, Murraya koenigii , Coriandrum sativum and Centella asiatica. SHILAP Revista de lepidopterología. 4(4). 255–255. 6 indexed citations
19.
Dutta, Sanghamitra, et al.. (2015). L-ASPARAGINASE AND L-GLUTAMINASE FROM Pseudomonas aeruginosa: PRODUCTION AND SOME PHYSICOCHEMICAL PROPERTIES. Journal of Microbiology Biotechnology and Food Sciences. 5(1). 34–39. 4 indexed citations
20.
Dutta, Sanghamitra & Arijit De. (2015). Sparse Ultra Wide Band Radar imaging in a locally adapting matching pursuit (LAMP) framework. 1216–1221. 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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