Sanjay Purushotham
- Health Informatics top 1%
- Health Information Management top 0.5%
- Signal Processing top 1%
- Time Series Analysis and Forecasting 4
- Artificial Intelligence top 1%
- Machine Learning in Healthcare 7
- Domain Adaptation and Few-Shot Learning 4
- Explainable Artificial Intelligence (XAI) 4
- Computational Mathematics top 10%
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- Multimodal Machine Learning Applications 5
- Advanced Neural Network Applications 4
- Advanced Image and Video Retrieval Techniques 4
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- Infrared Thermography in Medicine 3
- Co-authors
- Yan LiuZhengping CheDavid SontagChuizheng MengC.‐C. Jay KuoRobinder G. KhemaniKoji MatsuoRachel S. Mandelbaum
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Scientific Reports (2 papers)American Journal of Obstetrics and Gynecology (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Sanjay Purushotham
43 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Health Informatics 121
- Health Information Management 296
- Signal Processing 459
- Artificial Intelligence 1.3k
- Computational Mathematics 12
Countries citing papers authored by Sanjay Purushotham
This map shows the geographic impact of Sanjay Purushotham'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 Sanjay Purushotham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Purushotham more than expected).
Fields of papers citing papers by Sanjay Purushotham
This network shows the impact of papers produced by Sanjay Purushotham. 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 Sanjay Purushotham. The network helps show where Sanjay Purushotham may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sanjay Purushotham, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 2 | |
| 9 | Intelligent Sight and Sound: A Chronic Cancer Facial Pain Dataset | 2021 | 1 |
| 10 | 2020 | 9 | |
| 11 | 2019 | 34 | |
| 12 | Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability | 2018 | 15 |
| 13 | Recurrent Neural Networks for Multivariate Time Series with Missing Valuesbreakdown → | 2018 | 1239 |
| 14 | 2018 | 238 | |
| 15 | Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series | 2018 | 17 |
| 16 | 2018 | 115 | |
| 17 | Variational Recurrent Adversarial Deep Domain Adaptation | 2017 | 49 |
| 18 | 2016 | 77 | |
| 19 | 2014 | 1 | |
| 20 | Hierarchical bag-of-words model for joint multi-view object representation and classification | 2012 | 1 |
About Sanjay Purushotham
Sanjay Purushotham is a scholar working on Issues, ethics and legal aspects, Health Informatics and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 2.4k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (7 papers), Multimodal Machine Learning Applications (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Explainable Artificial Intelligence (XAI) (4 papers), Time Series Analysis and Forecasting (4 papers), Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Infrared Thermography in Medicine (3 papers). The work is most often cited by research in Health Informatics (121 citations), Health Information Management (296 citations) and Signal Processing (459 citations). Sanjay Purushotham has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Yan Liu, Zhengping Che, David Sontag, Chuizheng Meng, C.‐C. Jay Kuo, Robinder G. Khemani, Koji Matsuo, Rachel S. Mandelbaum, Lynda D. Roman and Edward Raff. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and American Journal of Obstetrics and Gynecology.
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.