Jake Garrison
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Interactive and Immersive Displays
Papers in
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- Speech Recognition and Synthesis 2
- Logic, Reasoning, and Knowledge 1
- Artificial Intelligence Applications 1
- Topic Modeling 1
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- Artificial Intelligence in Healthcare and Education 1
- Co-authors
- Shwetak Patel (6 shared papers)Joel Shor (1 shared paper)Eric Whitmire (1 shared paper)Mayank Goel (1 shared paper)Edward Jay Wang (1 shared paper)Mark Malhotra (2 shared papers)Dongeek Shin (1 shared paper)Daniel McDuff (2 shared papers)
- Journals
- Nature (2 papers)IEEE International Conference on Acoustics Speech and Signal Processing (1 paper)Conference on Empirical Methods in Natural Language Processing (EMNLP) (1 paper)Interspeech (USB) (1 paper)ACM Symposium on User Interface Software and Technology (UIST) (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jake Garrison
9 papers receiving 198 citations
Jake Garrison's Hit Papers
Peers
Comparison fields: 5 of 42
- Health Informatics 108
- Human-Computer Interaction 11
- Signal Processing 11
- Health Information Management 11
- Artificial Intelligence 37
Countries citing papers authored by Jake Garrison
This map shows the geographic impact of Jake Garrison'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 Jake Garrison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jake Garrison more than expected).
Fields of papers citing papers by Jake Garrison
This network shows the impact of papers produced by Jake Garrison. 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 Jake Garrison. The network helps show where Jake Garrison may publish in the future.
Co-authors
The 21 scholars most cited alongside Jake Garrison, 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 | Towards accurate differential diagnosis with large language models Hit paper breakdown → | 2025 | 129 |
| 2 | 2018 | 24 | |
| 3 | 2017 | 17 | |
| 4 | 2021 | 16 | |
| 5 | 2020 | 11 | |
| 6 | 2022 | 3 | |
| 7 | 2026 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2025 | 1 |
About Jake Garrison
Jake Garrison is a scholar working on Artificial Intelligence, Health Informatics, Human-Computer Interaction, Signal Processing and Information Systems and Management, having authored 9 papers that have together received 204 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (2 papers), Phonocardiography and Auscultation Techniques (1 paper), Speech and Audio Processing (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Logic, Reasoning, and Knowledge (1 paper), Artificial Intelligence Applications (1 paper), Music and Audio Processing (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Health Informatics (108 citations), Human-Computer Interaction (11 citations), Signal Processing (11 citations), Health Information Management (11 citations) and Artificial Intelligence (37 citations). Jake Garrison has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Shwetak Patel, Joel Shor, Eric Whitmire, Mayank Goel, Edward Jay Wang, Mark Malhotra, Dongeek Shin, Daniel McDuff, Ahmed A. Metwally and Anupam Pathak. Their work appears in journals such as Nature, IEEE International Conference on Acoustics Speech and Signal Processing, Conference on Empirical Methods in Natural Language Processing (EMNLP), Interspeech (USB) and ACM Symposium on User Interface Software and Technology (UIST).
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.