Gregory S. Fischer
- Biomedical Engineering top 0.5%
- Surgery top 2%
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Control and Systems Engineering top 2%
- Co-authors
- Hao SuGábor FichtingerSimon DiMaioIulian IordachitaRussell H. TaylorClare M. TempanyNobuhiko HataJunichi Tokuda
- Topics
- Soft Robotics and Applications (70 papers)Surgical Simulation and Training (48 papers)Advanced MRI Techniques and Applications (17 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Gregory S. Fischer
125 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Biomedical Engineering 2.7k
- Surgery 1.5k
- Computer Vision and Pattern Recognition 648
- Radiology, Nuclear Medicine and Imaging 642
- Control and Systems Engineering 463
Countries citing papers authored by Gregory S. Fischer
This map shows the geographic impact of Gregory S. Fischer'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 Gregory S. Fischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory S. Fischer more than expected).
Fields of papers citing papers by Gregory S. Fischer
This network shows the impact of papers produced by Gregory S. Fischer. 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 Gregory S. Fischer. The network helps show where Gregory S. Fischer may publish in the future.
Co-authorship network of co-authors of Gregory S. Fischer
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory S. Fischer. A scholar is included among the top collaborators of Gregory S. Fischer 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 Gregory S. Fischer. Gregory S. Fischer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 32 | |
| 3 | 26 | |
| 4 | 6 | |
| 5 | 21 | |
| 6 | 12 | |
| 7 | A Dynamic Model Identification Package for the da Vinci Research Kit. | 3 |
| 8 | 9 | |
| 9 | 11 | |
| 10 | 16 | |
| 11 | 13 | |
| 12 | 14 | |
| 13 | 34 | |
| 14 | 108 | |
| 15 | 16 | |
| 16 | Development of a Laboratory Kit for Robotics Engineering Education | 7 |
| 17 | 28 | |
| 18 | 44 | |
| 19 | 19 | |
| 20 | ELECTROMAGNETIC TRACKER CHARACTERIZATION AND OPTIMAL TOOL DESIGN (WITH APPLICATIONS TO ENT SURGERY) | 8 |
About Gregory S. Fischer
Gregory S. Fischer is a scholar working on Biomedical Engineering, Radiation and Surgery, having authored 135 papers that have together received 3.9k indexed citations. Recurring topics across this work include Soft Robotics and Applications (70 papers), Surgical Simulation and Training (48 papers) and Advanced MRI Techniques and Applications (17 papers). The work is most often cited by research in Biomedical Engineering (2.7k citations), Radiation (399 citations) and Surgery (1.5k citations). Gregory S. Fischer has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Hao Su, Gábor Fichtinger, Simon DiMaio, Iulian Iordachita, Russell H. Taylor, Clare M. Tempany, Nobuhiko Hata, Junichi Tokuda, Anton Deguet and Weijian Shang. Their work appears in journals such as Proceedings of the IEEE, IEEE Access and IEEE Transactions on Biomedical Engineering.
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.