Anthony Jarc

1.8k total citations
39 papers, 1.1k citations indexed

About

Anthony Jarc is a scholar working on Surgery, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Anthony Jarc has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Surgery, 24 papers in Biomedical Engineering and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Anthony Jarc's work include Surgical Simulation and Training (30 papers), Anatomy and Medical Technology (16 papers) and Cardiac, Anesthesia and Surgical Outcomes (14 papers). Anthony Jarc is often cited by papers focused on Surgical Simulation and Training (30 papers), Anatomy and Medical Technology (16 papers) and Cardiac, Anesthesia and Surgical Outcomes (14 papers). Anthony Jarc collaborates with scholars based in United States, Israel and Germany. Anthony Jarc's co-authors include Matthew C. Tresch, Inderbir S. Gill, Andrew J. Hung, Jian Chen, Max Berniker, Emilio Bizzi, Paul Oh, Myriam J. Curet, Ilana Nisky and David Hatcher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Urology and Current Opinion in Neurobiology.

In The Last Decade

Anthony Jarc

36 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anthony Jarc United States 14 714 465 441 191 133 39 1.1k
Ansgar Schwirtz Germany 24 663 0.9× 312 0.7× 96 0.2× 90 0.5× 87 0.7× 72 1.4k
Thorsten Stein Germany 18 499 0.7× 146 0.3× 212 0.5× 103 0.5× 249 1.9× 96 1.1k
Michael Sherman United States 12 904 1.3× 220 0.5× 229 0.5× 48 0.3× 169 1.3× 22 1.4k
Syn Schmitt Germany 19 850 1.2× 109 0.2× 249 0.6× 141 0.7× 83 0.6× 85 1.1k
Antonio Fratini Italy 19 496 0.7× 89 0.2× 294 0.7× 247 1.3× 45 0.3× 52 1.1k
Apoorva Rajagopal United States 9 1.6k 2.3× 466 1.0× 266 0.6× 40 0.2× 368 2.8× 15 2.4k
D. Gordon E. Robertson Canada 17 945 1.3× 358 0.8× 210 0.5× 34 0.2× 265 2.0× 41 1.6k
Samuel R. Hamner United States 12 1.5k 2.2× 278 0.6× 269 0.6× 31 0.2× 263 2.0× 12 2.1k
Mark A. King United Kingdom 24 1.0k 1.5× 282 0.6× 250 0.6× 52 0.3× 192 1.4× 132 1.8k
Noël Keijsers Netherlands 21 493 0.7× 257 0.6× 167 0.4× 42 0.2× 297 2.2× 88 1.4k

Countries citing papers authored by Anthony Jarc

Since Specialization
Citations

This map shows the geographic impact of Anthony Jarc'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 Anthony Jarc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Jarc more than expected).

Fields of papers citing papers by Anthony Jarc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony Jarc. 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 Anthony Jarc. The network helps show where Anthony Jarc may publish in the future.

Co-authorship network of co-authors of Anthony Jarc

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony Jarc. A scholar is included among the top collaborators of Anthony Jarc 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 Anthony Jarc. Anthony Jarc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Guo, Rui, et al.. (2025). Dual-task meta-auxiliary learning in laparoscopic cholecystectomy. International Journal of Computer Assisted Radiology and Surgery. 21(1). 153–161.
2.
Wren, Sherry M., et al.. (2024). Haptic Guidance and Haptic Error Amplification in a Virtual Surgical Robotic Training Environment. IEEE Transactions on Haptics. 17(3). 417–428. 7 indexed citations
3.
Jarc, Anthony, et al.. (2024). Objective performance indicators versus GEARS: an opportunity for more accurate assessment of surgical skill. International Journal of Computer Assisted Radiology and Surgery. 19(11). 2259–2267.
4.
Olson, Terrah J. Paul, et al.. (2024). Quantification of surgical workflow during robotic proctectomy. International Journal of Medical Robotics and Computer Assisted Surgery. 20(2). e2625–e2625. 1 indexed citations
5.
Webman, Rachel, et al.. (2023). Kinematic data profile and clinical outcomes in robotic inguinal hernia repairs: a pilot study. Surgical Endoscopy. 37(10). 8035–8042. 5 indexed citations
6.
Andrews, Robert, et al.. (2023). Kinematic metrics and surgeon experience in robotic cholecystectomies: a pilot study on breaking down technical performance. Surgical Endoscopy. 38(2). 913–921. 3 indexed citations
7.
Bhattacharyya, Kiran, et al.. (2023). A novel approach to quantifying surgical workflow in robotic‐assisted lobectomy. International Journal of Medical Robotics and Computer Assisted Surgery. 20(1). e2546–e2546. 4 indexed citations
8.
Jarc, Anthony, et al.. (2020). Task Dynamics of Prior Training Influence Visual Force Estimation Ability During Teleoperation of a Minimally Invasive Surgical Robot.. arXiv (Cornell University). 1 indexed citations
9.
Brown, Kristen C., et al.. (2020). How to Bring Surgery to the Next Level: Interpretable Skills Assessment in Robotic-Assisted Surgery. Visceral Medicine. 36(6). 463–470. 23 indexed citations
10.
11.
Hung, Andrew J., Jian Chen, Zhengping Che, et al.. (2018). Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes. Journal of Endourology. 32(5). 438–444. 116 indexed citations
12.
Zia, Aneeq, Chi Zhang, Xiaobin Xiong, & Anthony Jarc. (2017). Temporal clustering of surgical activities in robot-assisted surgery. International Journal of Computer Assisted Radiology and Surgery. 12(7). 1171–1178. 21 indexed citations
13.
Berniker, Max, Anthony Jarc, Konrad P. Körding, & Matthew C. Tresch. (2016). A Probabilistic Analysis of Muscle Force Uncertainty for Control. IEEE Transactions on Biomedical Engineering. 63(11). 2359–2367. 2 indexed citations
14.
Jarc, Anthony & Myriam J. Curet. (2016). Viewpoint matters: objective performance metrics for surgeon endoscope control during robot-assisted surgery. Surgical Endoscopy. 31(3). 1192–1202. 30 indexed citations
15.
Jarc, Anthony, et al.. (2016). Beyond 2D telestration: an evaluation of novel proctoring tools for robot-assisted minimally invasive surgery. Journal of Robotic Surgery. 10(2). 103–109. 20 indexed citations
16.
Jarc, Anthony, Andrew A. Stanley, Thomas G. Clifford, Inderbir S. Gill, & Andrew J. Hung. (2016). Proctors exploit three-dimensional ghost tools during clinical-like training scenarios: a preliminary study. World Journal of Urology. 35(6). 957–965. 30 indexed citations
17.
Jarc, Anthony & Ilana Nisky. (2015). Robot-assisted surgery: an emerging platform for human neuroscience research. Frontiers in Human Neuroscience. 9. 315–315. 24 indexed citations
18.
19.
Jarc, Anthony, Max Berniker, & Matthew C. Tresch. (2013). FES Control of Isometric Forces in the Rat Hindlimb Using Many Muscles. IEEE Transactions on Biomedical Engineering. 60(5). 1422–1430. 24 indexed citations
20.
Tresch, Matthew C. & Anthony Jarc. (2009). The case for and against muscle synergies. Current Opinion in Neurobiology. 19(6). 601–607. 406 indexed citations

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.

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