Guy Rosman
Impact in
- Health Informatics top 0.05%
- Artificial Intelligence in Healthcare and Education
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- Advanced Vision and Imaging
Papers in ⓘ
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- Autonomous Vehicle Technology and Safety 21
- Co-authors
- Ozanan R. Meireles (18 shared papers)Daniel A. Hashimoto (14 shared papers)Daniela Rus (32 shared papers)Elan R. Witkowski (5 shared papers)Ron Kimmel (15 shared papers)Lei Gao (1 shared paper)Thomas M. Ward (9 shared papers)Yutong Ban (12 shared papers)
- Journals
- IEEE Robotics and Automation Letters (9 papers)Surgical Endoscopy (5 papers)Annals of Surgery (3 papers)Electronics Letters (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Guy Rosman
79 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Health Informatics 609
- Computer Vision and Pattern Recognition 543
- Surgery 888
- Automotive Engineering 234
- Cardiology and Cardiovascular Medicine 362
Countries citing papers authored by Guy Rosman
This map shows the geographic impact of Guy Rosman'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 Guy Rosman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Rosman more than expected).
Fields of papers citing papers by Guy Rosman
This network shows the impact of papers produced by Guy Rosman. 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 Guy Rosman. The network helps show where Guy Rosman may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Rosman, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artificial Intelligence in Surgery: Promises and Perils Hit paper breakdown → | 2018 | 746 |
| 2 | 2019 | 290 | |
| 3 | 2019 | 196 | |
| 4 | 2020 | 98 | |
| 5 | 2021 | 60 | |
| 6 | 2013 | 58 | |
| 7 | 2020 | 57 | |
| 8 | 2017 | 54 | |
| 9 | 2018 | 54 | |
| 10 | 2015 | 53 | |
| 11 | 2014 | 52 | |
| 12 | 2020 | 49 | |
| 13 | 2019 | 49 | |
| 14 | 2020 | 46 | |
| 15 | 2010 | 46 | |
| 16 | 2017 | 41 | |
| 17 | 2021 | 40 | |
| 18 | 2021 | 38 | |
| 19 | 2014 | 25 | |
| 20 | Coresets for k-Segmentation of Streaming Data | 2014 | 24 |
About Guy Rosman
Guy Rosman is a scholar working on Health Informatics, Automotive Engineering, Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Signal Processing, having authored 85 papers that have together received 2.5k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (21 papers), Advanced Vision and Imaging (14 papers), Traffic and Road Safety (11 papers), Surgical Simulation and Training (11 papers), Optical measurement and interference techniques (9 papers), Anomaly Detection Techniques and Applications (9 papers), Robotics and Sensor-Based Localization (8 papers) and Time Series Analysis and Forecasting (6 papers). The work is most often cited by research in Health Informatics (609 citations), Computer Vision and Pattern Recognition (543 citations), Surgery (888 citations), Automotive Engineering (234 citations) and Cardiology and Cardiovascular Medicine (362 citations). Guy Rosman has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Ozanan R. Meireles, Daniel A. Hashimoto, Daniela Rus, Elan R. Witkowski, Ron Kimmel, Lei Gao, Thomas M. Ward, Yutong Ban, John J. Leonard and John W. Fisher. Their work appears in journals such as IEEE Robotics and Automation Letters, Surgical Endoscopy, Annals of Surgery, Electronics Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.