Soham De

1.8k total citations
22 papers, 238 citations indexed

About

Soham De is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Soham De has authored 22 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Sociology and Political Science. Recurrent topics in Soham De's work include Adversarial Robustness in Machine Learning (5 papers), Stochastic Gradient Optimization Techniques (5 papers) and Advanced Neural Network Applications (4 papers). Soham De is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Stochastic Gradient Optimization Techniques (5 papers) and Advanced Neural Network Applications (4 papers). Soham De collaborates with scholars based in United States, India and United Kingdom. Soham De's co-authors include Tom Goldstein, Samuel Smith, Zheng Xu, David W. Jacobs, Hanan Samet, Christoph Studer, Hao Li, David G. T. Barrett, Robert Stanforth and Chongli Qin and has published in prestigious journals such as Langmuir, Scientific Reports and arXiv (Cornell University).

In The Last Decade

Soham De

22 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Soham De United States	9	139	92	32	19	16	22	238
Ruimin Wang China	9	110 0.8×	98 1.1×	29 0.9×	6 0.3×	32 2.0×	20	291
Devendra Singh Sachan United States	7	289 2.1×	118 1.3×	13 0.4×	9 0.5×	10 0.6×	11	331
Davide Eynard Switzerland	9	56 0.4×	108 1.2×	63 2.0×	5 0.3×	10 0.6×	16	227
Ajinkya Kale United States	7	140 1.0×	165 1.8×	8 0.3×	10 0.5×	4 0.3×	15	274
Haw-Shiuan Chang United States	8	166 1.2×	174 1.9×	5 0.2×	23 1.2×	9 0.6×	21	430
Liwen Wang China	10	66 0.5×	79 0.9×	5 0.2×	21 1.1×	7 0.4×	42	243
Huan Zhao China	12	152 1.1×	133 1.4×	7 0.2×	25 1.3×	5 0.3×	56	380
M. Mohamed Sathik India	11	82 0.6×	138 1.5×	4 0.1×	6 0.3×	7 0.4×	44	323

Countries citing papers authored by Soham De

Since Specialization

Citations

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

Fields of papers citing papers by Soham De

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soham De

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

All Works

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20 of 20 papers shown

De, Soham, et al.. (2025). Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking. 3751–3761. 3 indexed citations

De, Soham, et al.. (2022). DISMISS: Database of Indian Social Media Influencers on Twitter. Proceedings of the International AAAI Conference on Web and Social Media. 16. 1201–1207. 4 indexed citations

De, Soham & Samuel Smith. (2020). Batch Normalization Biases Deep Residual Networks Towards Shallow Paths. arXiv (Cornell University). 3 indexed citations

De, Soham & Samuel Smith. (2020). Batch Normalization Biases Residual Blocks Towards the Identity Function in Deep Networks. neural information processing systems. 33. 19964–19975. 3 indexed citations

Smith, Samuel, Erich Elsen, & Soham De. (2020). On the Generalization Benefit of Noise in Stochastic Gradient Descent. arXiv (Cornell University). 1. 9058–9067. 11 indexed citations

Dvijotham, Krishnamurthy, Robert Stanforth, Sven Gowal, et al.. (2019). Efficient Neural Network Verification with Exactness Characterization. Uncertainty in Artificial Intelligence. 497–507. 8 indexed citations

Qin, Chongli, James Martens, Sven Gowal, et al.. (2019). Adversarial Robustness through Local Linearization. Neural Information Processing Systems. 32. 13824–13833. 27 indexed citations

De, Soham & Samuel Smith. (2019). Batch Normalization has Multiple Benefits: An Empirical Study on Residual Networks. 1 indexed citations

Basu, Amitabh, et al.. (2018). Convergence guarantees for RMSProp and ADAM in non-convex optimization and their comparison to Nesterov acceleration on autoencoders.. arXiv (Cornell University). 16 indexed citations

10.

De, Soham, et al.. (2017). Automated Inference with Adaptive Batches. International Conference on Artificial Intelligence and Statistics. 1504–1513. 23 indexed citations

11.

Castillo, Carlos D., et al.. (2017). Son of Zorn's lemma: Targeted style transfer using instance-aware semantic segmentation. 1348–1352. 25 indexed citations

12.

Li, Hao, Soham De, Zheng Xu, et al.. (2017). Training Quantized Nets: A Deeper Understanding. Neural Information Processing Systems. 30. 5811–5821. 37 indexed citations

13.

Chakraborty, Monojit, et al.. (2016). Contact Line Dynamics during the Evaporation of Extended Colloidal Thin Films: Influence of Liquid Polarity and Particle Size. Langmuir. 32(48). 12790–12798. 5 indexed citations

14.

De, Soham & Tom Goldstein. (2016). Efficient Distributed SGD with Variance Reduction. 111–120. 20 indexed citations

15.

Burdick, Doug, et al.. (2016). resMBS. 1–6. 2 indexed citations

16.

De, Soham, Michele J. Gelfand, Dana Nau, & Patrick Roos. (2015). The Inevitability of Ethnocentrism Revisited: Ethnocentrism Diminishes As Mobility Increases. Scientific Reports. 5(1). 17963–17963. 17 indexed citations

17.

Ashktorab, Zahra, Srijan Kumar, Soham De, & Jennifer Golbeck. (2014). iAnon: Leveraging Social Network Big Data to Mitigate Behavioral Symptoms of Cyberbullying. 4 indexed citations

18.

De, Soham, et al.. (2012). Plagiarism detection in polyphonic music using monaural signal separation. 1744–1747. 2 indexed citations

19.

De, Soham, et al.. (2012). Detecting Subsurface Circular Objects From Low Contrast Noisy Images: Applications In Microscope Image Enhancement. Zenodo (CERN European Organization for Nuclear Research). 6(7). 907–913. 1 indexed citations

20.

Sengupta, Sailik, Soham De, Amit Konar, & R. Janarthanan. (2011). An improved fuzzy clustering method using modified Fukuyama-Sugeno cluster validity index. 269–274. 6 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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