Soumith Chintala
Impact in
-
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Artificial Intelligence top 0.2%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
Papers in
-
- Reinforcement Learning in Robotics 3
- Neural Networks and Applications 3
- Gaussian Processes and Bayesian Inference 2
- Artificial Intelligence in Games 1
-
- Advanced Neural Network Applications 2
- Co-authors
- Martín Arjovsky (1 shared paper)Léon Bottou (1 shared paper)Adam Paszke (2 shared papers)Edward Z. Yang (2 shared papers)Zeming Lin (2 shared papers)Sam Gross (1 shared paper)Adam Lerer (1 shared paper)Zachary DeVito (1 shared paper)
- Journals
- Applied and Computational Harmonic Analysis (1 paper)Neural Computation (1 paper)Science Robotics (1 paper)Proceedings of the VLDB Endowment (1 paper)International Journal of Electronic Business (1 paper)
- Partner nations
- United StatesIsraelChina
In The Last Decade
Soumith Chintala
18 papers receiving 9.6k citations
Soumith Chintala's Hit Papers
Peers
Comparison fields: 5 of 193
- Computer Vision and Pattern Recognition 5.2k
- Artificial Intelligence 3.9k
- Media Technology 676
- Signal Processing 755
- Computational Mathematics 37
Countries citing papers authored by Soumith Chintala
This map shows the geographic impact of Soumith Chintala'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 Soumith Chintala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soumith Chintala more than expected).
Fields of papers citing papers by Soumith Chintala
This network shows the impact of papers produced by Soumith Chintala. 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 Soumith Chintala. The network helps show where Soumith Chintala may publish in the future.
Co-authors
The 25 scholars most cited alongside Soumith Chintala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Automatic differentiation in PyTorch Hit paper breakdown → | 2017 | 5752 |
| 2 | Wasserstein Generative Adversarial Networks Hit paper breakdown → | 2017 | 2813 |
| 3 | Pedestrian Detection with Unsupervised Multi-stage Feature Learning Hit paper breakdown → | 2013 | 494 |
| 4 | Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective Hit paper breakdown → | 2018 | 342 |
| 5 | PyTorch distributed Hit paper breakdown → | 2020 | 257 |
| 6 | 2022 | 68 | |
| 7 | 2023 | 67 | |
| 8 | 2016 | 64 | |
| 9 | 2023 | 51 | |
| 10 | 2023 | 28 | |
| 11 | 2024 | 14 | |
| 12 | Semantic Segmentation using Adversarial Networks | 2016 | 11 |
| 13 | 2016 | 8 | |
| 14 | An overview of deep learning frameworks and an introduction to PyTorch | 2017 | 7 |
| 15 | Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement | 2017 | 5 |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2010 | 1 |
About Soumith Chintala
Soumith Chintala is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Information Systems and Aerospace Engineering, having authored 18 papers that have together received 10.0k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (3 papers), Neural Networks and Applications (3 papers), Robot Manipulation and Learning (3 papers), Robotics and Automated Systems (2 papers), Advanced Neural Network Applications (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Artificial Intelligence in Games (1 paper) and Digital Games and Media (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (5.2k citations), Artificial Intelligence (3.9k citations), Media Technology (676 citations), Signal Processing (755 citations) and Computational Mathematics (37 citations). Soumith Chintala has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Martín Arjovsky, Léon Bottou, Adam Paszke, Edward Z. Yang, Zeming Lin, Sam Gross, Adam Lerer, Zachary DeVito, Alban Desmaison and Luca Antiga. Their work appears in journals such as Applied and Computational Harmonic Analysis, Neural Computation, Science Robotics, Proceedings of the VLDB Endowment and International Journal of Electronic Business.
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.