Soham De

1.9k citations
25 papers · 332 · h-index 9

Impact in

    • Advanced Neural Network Applications
    • Generative Adversarial Networks and Image Synthesis
    • Adversarial Robustness in Machine Learning
    • Stochastic Gradient Optimization Techniques
    • Anomaly Detection Techniques and Applications
    • Domain Adaptation and Few-Shot Learning

Papers in

    • Adversarial Robustness in Machine Learning 4
    • Stochastic Gradient Optimization Techniques 3
    • Hate Speech and Cyberbullying Detection 2
    • Social Media and Politics 4

Soham De

23 papers receiving 325 citations

Peers

Soham De
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 96
  • Artificial Intelligence 143
  • Social Psychology 67
  • Experimental and Cognitive Psychology 22
  • Sociology and Political Science 75
Replace Zhida Sun with:
Zhida Sun Hong Kong
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Soham De, 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 Soham De Line = papers co-authored together Soham De links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201981
2
Training Quantized Nets: A Deeper Understanding
201741
3
Adversarial Robustness through Local Linearization
201941
4 201729
5
Automated Inference with Adaptive Batches
201723
6 201522
7 201621
8 201818
9
Efficient Neural Network Verification with Exactness Characterization
201911
10 20116
11 20255
12 20225
13 20165
14
iAnon: Leveraging Social Network Big Data to Mitigate Behavioral Symptoms of Cyberbullying
20145
15 20123
16 20203
17 20153
18 20122
19 20162
20
Batch Normalization has Multiple Benefits: An Empirical Study on Residual Networks
20192

About Soham De

Soham De is a scholar working on Artificial Intelligence, Communication, Computer Vision and Pattern Recognition, Sociology and Political Science and Safety Research, having authored 25 papers that have together received 332 indexed citations. Recurring topics across this work include Social Media and Politics (4 papers), Adversarial Robustness in Machine Learning (4 papers), Advanced Neural Network Applications (4 papers), Stochastic Gradient Optimization Techniques (3 papers), Misinformation and Its Impacts (3 papers), Evolutionary Game Theory and Cooperation (3 papers), Hate Speech and Cyberbullying Detection (2 papers) and Evolutionary Psychology and Human Behavior (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (96 citations), Artificial Intelligence (143 citations), Social Psychology (67 citations), Experimental and Cognitive Psychology (22 citations) and Sociology and Political Science (75 citations). Soham De has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Michele Joy Gelfand, Tom Goldstein, Joshua Conrad Jackson, Dana S. Nau, Hao Li, Zheng Xu, Hanan Samet, Christoph Studer, Robert Stanforth and Pushmeet Kohli. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Langmuir, Scientific Reports, Nature Human Behaviour and Lecture notes in computer science.

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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