Samuel Schmidgall
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Soft Robotics and Applications 4
- Anatomy and Medical Technology 4
- Surgery 5
- Surgical Simulation and Training 5
- Co-authors
- Jason K. Eshraghian (4 shared papers)Axel Krieger (7 shared papers)Jascha Achterberg (3 shared papers)Peter Abadir (1 shared paper)Rama Chellappa (1 shared paper)Ahmed Ghazi (2 shared papers)Tawsifur Rahman (1 shared paper)Alan Kuntz (1 shared paper)
- Journals
- npj Digital Medicine (2 papers)Science Robotics (2 papers)Nature Communications (1 paper)British Journal of Anaesthesia (1 paper)Nature Reviews Urology (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Samuel Schmidgall
14 papers receiving 144 citations
Peers
Comparison fields: 5 of 61
- Health Informatics 17
- Family Practice 4
- Cognitive Neuroscience 15
- Artificial Intelligence 20
- Computer Vision and Pattern Recognition 11
Countries citing papers authored by Samuel Schmidgall
This map shows the geographic impact of Samuel Schmidgall'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 Samuel Schmidgall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Schmidgall more than expected).
Fields of papers citing papers by Samuel Schmidgall
This network shows the impact of papers produced by Samuel Schmidgall. 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 Samuel Schmidgall. The network helps show where Samuel Schmidgall may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Schmidgall, 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 | 2024 | 53 | |
| 2 | 2024 | 28 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 12 | |
| 5 | 2025 | 12 | |
| 6 | 2025 | 6 | |
| 7 | 2025 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2021 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2026 | 0 | |
| 17 | 2023 | 0 |
About Samuel Schmidgall
Samuel Schmidgall is a scholar working on Biomedical Engineering, Surgery, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 17 papers that have together received 144 indexed citations. Recurring topics across this work include Surgical Simulation and Training (5 papers), Soft Robotics and Applications (4 papers), Anatomy and Medical Technology (4 papers), Advanced Memory and Neural Computing (4 papers), Neural dynamics and brain function (3 papers), EEG and Brain-Computer Interfaces (3 papers), Ferroelectric and Negative Capacitance Devices (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Health Informatics (17 citations), Family Practice (4 citations), Cognitive Neuroscience (15 citations), Artificial Intelligence (20 citations) and Computer Vision and Pattern Recognition (11 citations). Samuel Schmidgall has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Jason K. Eshraghian, Axel Krieger, Jascha Achterberg, Peter Abadir, Rama Chellappa, Ahmed Ghazi, Tawsifur Rahman, Alan Kuntz, Ji Woong Kim and Brandon M. White. Their work appears in journals such as npj Digital Medicine, Science Robotics, Nature Communications, British Journal of Anaesthesia and Nature Reviews Urology.
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.