Noah Weston
Impact in
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- Electronic Health Records Systems
- Artificial Intelligence in Healthcare
Papers in
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- Biomedical Text Mining and Ontologies 2
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- Advanced Neural Network Applications 2
- Visual Attention and Saliency Detection 2
- Co-authors
- Jyotishman Pathak (2 shared papers)Christopher G. Chute (2 shared papers)Abel Kho (2 shared papers)Iftikhar J. Kullo (2 shared papers)Peggy Peissig (2 shared papers)Joshua C. Denny (2 shared papers)Jennifer A. Pacheco (2 shared papers)Luke V. Rasmussen (2 shared papers)
- Journals
- Science Translational Medicine (1 paper)The Journal of Urology (1 paper)ACM Transactions on Design Automation of Electronic Systems (1 paper)PLoS ONE (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
Noah Weston
9 papers receiving 360 citations
Peers
Comparison fields: 5 of 77
- Health Information Management 59
- Computational Mathematics 3
- Health Informatics 4
- Genetics 72
- Artificial Intelligence 81
Countries citing papers authored by Noah Weston
This map shows the geographic impact of Noah Weston'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 Noah Weston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah Weston more than expected).
Fields of papers citing papers by Noah Weston
This network shows the impact of papers produced by Noah Weston. 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 Noah Weston. The network helps show where Noah Weston may publish in the future.
Co-authors
The 25 scholars most cited alongside Noah Weston, 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 | 2011 | 249 | |
| 2 | Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms. | 2011 | 72 |
| 3 | 2013 | 23 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 5 | |
| 6 | 2022 | 3 | |
| 7 | 2011 | 1 | |
| 8 | 2019 | 1 | |
| 9 | 2020 | 1 |
About Noah Weston
Noah Weston is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Genetics, having authored 9 papers that have together received 363 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (2 papers), Biomedical Text Mining and Ontologies (2 papers), CCD and CMOS Imaging Sensors (2 papers), Advanced Neural Network Applications (2 papers), Visual Attention and Saliency Detection (2 papers), Sexual function and dysfunction studies (1 paper), Genomics and Rare Diseases (1 paper) and UAV Applications and Optimization (1 paper). The work is most often cited by research in Health Information Management (59 citations), Computational Mathematics (3 citations), Health Informatics (4 citations), Genetics (72 citations) and Artificial Intelligence (81 citations). Noah Weston has collaborated with scholars based in United States. Frequent co-authors include Jyotishman Pathak, Christopher G. Chute, Abel Kho, Iftikhar J. Kullo, Peggy Peissig, Joshua C. Denny, Jennifer A. Pacheco, Luke V. Rasmussen, Katherine M. Newton and Paul K. Crane. Their work appears in journals such as Science Translational Medicine, The Journal of Urology, ACM Transactions on Design Automation of Electronic Systems, PLoS ONE and PubMed.
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.