Sumit Chopra
Impact in
- Health Informatics top 0.2%
-
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Face recognition and analysis
- Advanced Neural Network Applications
Papers in
- Co-authors
- Yann LeCunRaia HadsellMichael AuliJason WestonAlexander M. RushAntoine BordesMarc’Aurelio RanzatoFu Jie Huang
- Journals
- Alzheimer s & Dementia (1 paper)Investigative Radiology (1 paper)Seminars in Ultrasound CT and MRI (1 paper)Gastrointestinal Endoscopy Clinics of North America (1 paper)Journal of Parallel and Distributed Computing (1 paper)
- Partner nations
- United StatesIsraelChina
In The Last Decade
Sumit Chopra
41 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Health Informatics 301
- Computer Vision and Pattern Recognition 4.2k
- Artificial Intelligence 4.3k
- Signal Processing 769
- Media Technology 480
Countries citing papers authored by Sumit Chopra
This map shows the geographic impact of Sumit Chopra'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 Chopra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Chopra more than expected).
Fields of papers citing papers by Sumit Chopra
This network shows the impact of papers produced by Sumit Chopra. 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 Chopra. The network helps show where Sumit Chopra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sumit Chopra, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 13 | |
| 5 | 2024 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2020 | 94 | |
| 8 | Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks | 2016 | 70 |
| 9 | The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations | 2016 | 144 |
| 10 | Learning Through Dialogue Interactions. | 2016 | 4 |
| 11 | Sequence Level Training with Recurrent Neural Networks Hit paper breakdown → | 2016 | 308 |
| 12 | Abstractive Sentence Summarization with Attentive Recurrent Neural Networks Hit paper breakdown → | 2016 | 505 |
| 13 | Learning Longer Memory in Recurrent Neural Networks | 2014 | 11 |
| 14 | Question Answering with Subgraph Embeddings Hit paper breakdown → | 2014 | 390 |
| 15 | DLID: Deep learning for domain adaptation by interpolating between domains | 2013 | 67 |
| 16 | 2008 | 4 | |
| 17 | A Unified Energy-Based Framework for Unsupervised Learning | 2007 | 53 |
| 18 | 2007 | 0 | |
| 19 | 2005 | 1 | |
| 20 | Learning a Similarity Metric Discriminatively, with Application to Face Verification Hit paper breakdown → | 2005 | 2422 |
About Sumit Chopra
Sumit Chopra is a scholar working on Health Informatics, Family Practice, Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 48 papers that have together received 8.4k indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Multimodal Machine Learning Applications (3 papers), Recommender Systems and Techniques (3 papers), Advanced Graph Neural Networks (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Health Informatics (301 citations), Computer Vision and Pattern Recognition (4.2k citations), Artificial Intelligence (4.3k citations), Signal Processing (769 citations) and Media Technology (480 citations). Sumit Chopra has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Yann LeCun, Raia Hadsell, Michael Auli, Jason Weston, Alexander M. Rush, Antoine Bordes, Marc’Aurelio Ranzato, Fu Jie Huang, Wojciech Zaremba and Suhrid Balakrishnan. Their work appears in journals such as Alzheimer s & Dementia, Investigative Radiology, Seminars in Ultrasound CT and MRI, Gastrointestinal Endoscopy Clinics of North America and Journal of Parallel and Distributed Computing.
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.