Benjamin Rosand
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Topic Modeling 3
- Machine Learning in Healthcare 3
- Quantum Information and Cryptography 2
- Natural Language Processing Techniques 1
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- Biomedical Text Mining and Ontologies 2
- Co-authors
- Harlan M. Krumholz (4 shared papers)Yixin Li (2 shared papers)Matthew Zhang (2 shared papers)Richard A. Taylor (2 shared papers)Irene Li (3 shared papers)Dragomir Radev (3 shared papers)Neha Verma (1 shared paper)David Chang (1 shared paper)
- Journals
- JACC Heart Failure (1 paper)Communications Biology (1 paper)Journal of Medical Internet Research (1 paper)Circulation (1 paper)Computer Science Review (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Benjamin Rosand
8 papers receiving 171 citations
Peers
Comparison fields: 5 of 65
- Health Informatics 27
- Health Information Management 36
- Artificial Intelligence 93
- Radiology, Nuclear Medicine and Imaging 21
- Cognitive Neuroscience 16
Countries citing papers authored by Benjamin Rosand
This map shows the geographic impact of Benjamin Rosand'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 Benjamin Rosand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Rosand more than expected).
Fields of papers citing papers by Benjamin Rosand
This network shows the impact of papers produced by Benjamin Rosand. 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 Benjamin Rosand. The network helps show where Benjamin Rosand may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Rosand, 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 | 2022 | 118 | |
| 2 | 2024 | 25 | |
| 3 | 2024 | 9 | |
| 4 | 2021 | 8 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 1 |
About Benjamin Rosand
Benjamin Rosand is a scholar working on Artificial Intelligence, Molecular Biology, Cardiology and Cardiovascular Medicine, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 8 papers that have together received 181 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Machine Learning in Healthcare (3 papers), Biomedical Text Mining and Ontologies (2 papers), Quantum many-body systems (2 papers), Quantum Information and Cryptography (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Cardiovascular Health and Risk Factors (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Health Informatics (27 citations), Health Information Management (36 citations), Artificial Intelligence (93 citations), Radiology, Nuclear Medicine and Imaging (21 citations) and Cognitive Neuroscience (16 citations). Benjamin Rosand has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Harlan M. Krumholz, Yixin Li, Matthew Zhang, Richard A. Taylor, Irene Li, Dragomir Radev, Neha Verma, David Chang, Alan Anticevic and Stamatios N. Sotiropoulos. Their work appears in journals such as JACC Heart Failure, Communications Biology, Journal of Medical Internet Research, Circulation and Computer Science Review.
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.