Michael Kam
- Biomedical Engineering
- Surgery
- Health Informatics top 5%
- Computer Vision and Pattern Recognition
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Axel KriegerHamed SaeidiJustin D. OpfermannSimon LéonardMichael H. HsiehJeeun KangShuwen WeiJin U. Kang
- Topics
- Surgical Simulation and Training (8 papers)Soft Robotics and Applications (7 papers)Augmented Reality Applications (5 papers)
- Partner nations
- United StatesIndia
In The Last Decade
Michael Kam
13 papers receiving 264 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Biomedical Engineering 162
- Surgery 137
- Health Informatics 48
- Computer Vision and Pattern Recognition 41
- Radiology, Nuclear Medicine and Imaging 33
Countries citing papers authored by Michael Kam
This map shows the geographic impact of Michael Kam'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 Michael Kam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kam more than expected).
Fields of papers citing papers by Michael Kam
This network shows the impact of papers produced by Michael Kam. 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 Michael Kam. The network helps show where Michael Kam may publish in the future.
Co-authorship network of co-authors of Michael Kam
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Kam. A scholar is included among the top collaborators of Michael Kam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Kam. Michael Kam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | Autonomous robotic laparoscopic surgery for intestinal anastomosisbreakdown → | 183 |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 17 | |
| 9 | 8 | |
| 10 | 12 | |
| 11 | 12 | |
| 12 | 24 | |
| 13 | Semi-Autonomous Laparoscopic Robotic Electro-Surgery with a Novel 3D Endoscope * Research reported in this paper was supported by National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under award numbers 1R01EB020610 and R21EB024707. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. | 1 |
About Michael Kam
Michael Kam is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Critical Care and Intensive Care Medicine, having authored 13 papers that have together received 274 indexed citations. Recurring topics across this work include Surgical Simulation and Training (8 papers), Soft Robotics and Applications (7 papers) and Augmented Reality Applications (5 papers). The work is most often cited by research in Health Informatics (48 citations), Biomedical Engineering (162 citations) and Surgery (137 citations). Michael Kam has collaborated with scholars based in United States and India. Frequent co-authors include Axel Krieger, Hamed Saeidi, Justin D. Opfermann, Simon Léonard, Michael H. Hsieh, Jeeun Kang, Shuwen Wei, Jin U. Kang, Thorsten Fleiter and Arjun S. Joshi. Their work appears in journals such as Science Robotics, IEEE Robotics and Automation Letters and Lecture notes in computer science.
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.