Justin D. Opfermann
- Biomedical Engineering top 5%
- Surgery top 5%
- Computer Vision and Pattern Recognition top 5%
- Health Informatics top 0.5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Axel KriegerSimon LéonardRyan DeckerPeter C.W. KimAzad ShademanHamed SaeidiMichael KamJeeun Kang
- Topics
- Surgical Simulation and Training (20 papers)Soft Robotics and Applications (19 papers)Cardiac pacing and defibrillation studies (12 papers)
- Journals
- ScienceSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- United StatesPakistanFrance
In The Last Decade
Justin D. Opfermann
57 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Biomedical Engineering 649
- Surgery 574
- Computer Vision and Pattern Recognition 176
- Health Informatics 172
- Cardiology and Cardiovascular Medicine 147
Countries citing papers authored by Justin D. Opfermann
This map shows the geographic impact of Justin D. Opfermann'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 Justin D. Opfermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin D. Opfermann more than expected).
Fields of papers citing papers by Justin D. Opfermann
This network shows the impact of papers produced by Justin D. Opfermann. 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 Justin D. Opfermann. The network helps show where Justin D. Opfermann may publish in the future.
Co-authorship network of co-authors of Justin D. Opfermann
This figure shows the co-authorship network connecting the top 25 collaborators of Justin D. Opfermann. A scholar is included among the top collaborators of Justin D. Opfermann 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 Justin D. Opfermann. Justin D. Opfermann 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | Autonomous robotic laparoscopic surgery for intestinal anastomosisbreakdown → | 183 |
| 9 | 13 | |
| 10 | 7 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 9 | |
| 14 | 5 | |
| 15 | 8 | |
| 16 | 10 | |
| 17 | 17 | |
| 18 | 25 | |
| 19 | 37 | |
| 20 | 24 |
About Justin D. Opfermann
Justin D. Opfermann is a scholar working on Surgery, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Surgical Simulation and Training (20 papers), Soft Robotics and Applications (19 papers) and Cardiac pacing and defibrillation studies (12 papers). The work is most often cited by research in Health Informatics (172 citations), Biomedical Engineering (649 citations) and Surgery (574 citations). Justin D. Opfermann has collaborated with scholars based in United States, Pakistan and France. Frequent co-authors include Axel Krieger, Simon Léonard, Ryan Decker, Peter C.W. Kim, Azad Shademan, Hamed Saeidi, Michael Kam, Jeeun Kang, Shuwen Wei and Michael H. Hsieh. Their work appears in journals such as Science, SHILAP Revista de lepidopterología and Scientific Reports.
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.