Aniruddh Raghu
- Health Informatics top 10%
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- Machine Learning in Healthcare 2
- Explainable Artificial Intelligence (XAI) 1
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- Sepsis Diagnosis and Treatment 2
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- Cardiovascular Function and Risk Factors 2
- ECG Monitoring and Analysis 1
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- EEG and Brain-Computer Interfaces 1
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- Oil and Gas Production Techniques 1
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- Inhalation and Respiratory Drug Delivery 1
- Journals
- Nature Medicine (1 paper)Journal of the American College of Cardiology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesKosovo
In The Last Decade
Aniruddh Raghu
8 papers receiving 143 citations
Peers
Comparison fields: 5 of 58
- Health Informatics 16
- Human-Computer Interaction 15
- Signal Processing 20
- Computer Vision and Pattern Recognition 32
- Health Information Management 6
Countries citing papers authored by Aniruddh Raghu
This map shows the geographic impact of Aniruddh Raghu'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 Aniruddh Raghu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aniruddh Raghu more than expected).
Fields of papers citing papers by Aniruddh Raghu
This network shows the impact of papers produced by Aniruddh Raghu. 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 Aniruddh Raghu. The network helps show where Aniruddh Raghu may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Aniruddh Raghu, 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 | 2023 | 7 | |
| 2 | 2022 | 2 | |
| 3 | 2022 | 6 | |
| 4 | 2021 | 40 | |
| 5 | 2021 | 2 | |
| 6 | 2019 | 84 | |
| 7 | Reinforcement Learning for Sepsis Treatment: Baselines and Analysis | 2019 | 1 |
| 8 | Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach. | 2017 | 6 |
About Aniruddh Raghu
Aniruddh Raghu is a scholar working on Family Practice, Critical Care and Intensive Care Medicine and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 148 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (2 papers), Sepsis Diagnosis and Treatment (2 papers), Cardiovascular Function and Risk Factors (2 papers), ECG Monitoring and Analysis (1 paper), EEG and Brain-Computer Interfaces (1 paper), Explainable Artificial Intelligence (XAI) (1 paper), Oil and Gas Production Techniques (1 paper) and Inhalation and Respiratory Drug Delivery (1 paper). The work is most often cited by research in Health Informatics (16 citations), Human-Computer Interaction (15 citations) and Signal Processing (20 citations). Aniruddh Raghu has collaborated with scholars based in United States and Kosovo. Frequent co-authors include Dina Katabi, M. Zhao, Antonio Torralba, Yingcheng Liu, Tianhong Li, Hang Zhao, Hao Wang, Kreshnik Hoti, Collin M. Stultz and Eugene Pomerantsev. Their work appears in journals such as Nature Medicine, Journal of the American College of Cardiology and Scientific Reports.
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.