Patrick Schwab
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Artificial Intelligence in Healthcare 7
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- Artificial Intelligence in Healthcare and Education 4
- Co-authors
- Walter Karlen (10 shared papers)Stefan Bauer (9 shared papers)Leo Anthony Celi (3 shared papers)Jürgen Hetzel (3 shared papers)Joachim M. Buhmann (1 shared paper)Sergios Gatidis (2 shared papers)Bernhard Schölkopf (5 shared papers)Tobias Hepp (2 shared papers)
- Journals
- npj Digital Medicine (4 papers)Nature Medicine (1 paper)Journal of Hepatology (1 paper)Alzheimer s & Dementia (1 paper)Neurocritical Care (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Patrick Schwab
38 papers receiving 729 citations
Patrick Schwab's Hit Papers
Peers
Comparison fields: 5 of 94
- Health Informatics 97
- Health Information Management 79
- Artificial Intelligence 169
- Computer Vision and Pattern Recognition 110
- Computational Theory and Mathematics 61
Countries citing papers authored by Patrick Schwab
This map shows the geographic impact of Patrick Schwab'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 Patrick Schwab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Schwab more than expected).
Fields of papers citing papers by Patrick Schwab
This network shows the impact of papers produced by Patrick Schwab. 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 Patrick Schwab. The network helps show where Patrick Schwab may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Schwab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 73 | |
| 2 | Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World Hit paper breakdown → | 2025 | 70 |
| 3 | 2022 | 64 | |
| 4 | 2021 | 60 | |
| 5 | 2020 | 49 | |
| 6 | 2021 | 43 | |
| 7 | 2017 | 40 | |
| 8 | 2019 | 37 | |
| 9 | 2021 | 37 | |
| 10 | 2021 | 33 | |
| 11 | 2019 | 27 | |
| 12 | 2020 | 27 | |
| 13 | 2021 | 25 | |
| 14 | 2019 | 21 | |
| 15 | 2023 | 18 | |
| 16 | 2025 | 18 | |
| 17 | 2021 | 15 | |
| 18 | 2025 | 13 | |
| 19 | 2022 | 11 | |
| 20 | 2021 | 10 |
About Patrick Schwab
Patrick Schwab is a scholar working on Health Information Management, Health Informatics, Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology, having authored 39 papers that have together received 749 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (7 papers), Machine Learning in Healthcare (5 papers), Context-Aware Activity Recognition Systems (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Urinary Tract Infections Management (2 papers), Bioinformatics and Genomic Networks (2 papers) and ECG Monitoring and Analysis (2 papers). The work is most often cited by research in Health Informatics (97 citations), Health Information Management (79 citations), Artificial Intelligence (169 citations), Computer Vision and Pattern Recognition (110 citations) and Computational Theory and Mathematics (61 citations). Patrick Schwab has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Walter Karlen, Stefan Bauer, Leo Anthony Celi, Jürgen Hetzel, Joachim M. Buhmann, Sergios Gatidis, Bernhard Schölkopf, Tobias Hepp, Arash Mehrjou and Gaetano Scebba. Their work appears in journals such as npj Digital Medicine, Nature Medicine, Journal of Hepatology, Alzheimer s & Dementia and Neurocritical Care.
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.