Benjamin Rosand
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
- Electronic Health Records Systems
Papers in
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- Quantum Information and Cryptography 1
- Topic Modeling 1
- Machine Learning in Healthcare 1
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- Neural dynamics and brain function 1
- Functional Brain Connectivity Studies 1
- Co-authors
- Matthew M. Zhang (1 shared paper)Neha Verma (1 shared paper)Irene Li (2 shared papers)Yixin Li (1 shared paper)Harlan M. Krumholz (2 shared papers)Richard Andrew Taylor (1 shared paper)Dragomir Radev (2 shared papers)David D. Chang (1 shared paper)
- Journals
- Journal of Medical Internet Research (1 paper)Computer Science Review (1 paper)JACC Heart Failure (1 paper)Journal of Computational Physics (1 paper)Communications Biology (1 paper)
- Partner nations
- United StatesSingaporeJapan
In The Last Decade
Benjamin Rosand
5 papers receiving 206 citations
Peers
Comparison fields: 5 of 67
- Health Informatics 28
- Health Information Management 31
- Artificial Intelligence 75
- Family Practice 2
- Cognitive Neuroscience 19
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 | 150 | |
| 2 | 2024 | 32 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 7 |
About Benjamin Rosand
Benjamin Rosand is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Molecular Biology, having authored 5 papers that have together received 211 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (1 paper), Quantum Information and Cryptography (1 paper), Neural dynamics and brain function (1 paper), Topic Modeling (1 paper), Cold Atom Physics and Bose-Einstein Condensates (1 paper), Machine Learning in Healthcare (1 paper), Quantum many-body systems (1 paper) and Functional Brain Connectivity Studies (1 paper). The work is most often cited by research in Health Informatics (28 citations), Health Information Management (31 citations), Artificial Intelligence (75 citations), Family Practice (2 citations) and Cognitive Neuroscience (19 citations). Benjamin Rosand has collaborated with scholars based in United States, Singapore and Japan. Frequent co-authors include Matthew M. Zhang, Neha Verma, Irene Li, Yixin Li, Harlan M. Krumholz, Richard Andrew Taylor, Dragomir Radev, David D. Chang, Amber M. Howell and Ali‐Reza Mohammadi‐Nejad. Their work appears in journals such as Journal of Medical Internet Research, Computer Science Review, JACC Heart Failure, Journal of Computational Physics and Communications Biology.
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.