Shane Farritor

2.7k citations
98 papers · 1.9k · h-index 24

Impact in

Papers in

    • Surgical Simulation and Training 45
    • Minimally Invasive Surgical Techniques 36
    • Soft Robotics and Applications 27

Shane Farritor

95 papers receiving 1.8k citations

Peers

Shane Farritor
Comparison fields: 5 of 116
  • Gastroenterology 236
  • Biomedical Engineering 872
  • Surgery 796
  • General Engineering 20
  • Mechanical Engineering 562
Replace Jean‐Michel Redouté with:
Jean‐Michel Redouté Australia
Zhenglong Sun China
S.E. Butner United States
Keyu Li China
Hyun‐Chul Choi South Korea
Jinyang Gao China
Jiaole Wang China
Kanako Harada Japan
H. Hawkeye King United States
Giuseppe Tortora Italy
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Citations per field
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Citations per year

Countries citing papers authored by Shane Farritor

Since Specialization
Citations

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

Fields of papers citing papers by Shane Farritor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shane Farritor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shane Farritor Line = papers co-authored together Shane Farritor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005228
2 2005176
3 2008111
4 200692
5 200478
6 200561
7 200760
8 200857
9 201056
10 200248
11 200641
12 200540
13 200938
14 200236
15 200131
16 201731
17 200930
18 200630
19 201129
20 201328

About Shane Farritor

Shane Farritor is a scholar working on Surgery, Biomedical Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering and Gastroenterology, having authored 98 papers that have together received 1.9k indexed citations. Recurring topics across this work include Surgical Simulation and Training (45 papers), Minimally Invasive Surgical Techniques (36 papers), Soft Robotics and Applications (27 papers), Robotic Path Planning Algorithms (16 papers), Modular Robots and Swarm Intelligence (15 papers), Augmented Reality Applications (12 papers), Gastrointestinal Tumor Research and Treatment (9 papers) and Real-Time Systems Scheduling (8 papers). The work is most often cited by research in Gastroenterology (236 citations), Biomedical Engineering (872 citations), Surgery (796 citations), General Engineering (20 citations) and Mechanical Engineering (562 citations). Shane Farritor has collaborated with scholars based in United States, Sweden and Ireland. Frequent co-authors include Stephen R. Platt, Dmitry Oleynikov, Hani Haider, Jason Dumpert, Mark E. Rentschler, Amy C. Lehman, Steve Goddard, Steven Dubowsky, Nathan A. Wood and Kevin L. Garvin. Their work appears in journals such as Surgical Endoscopy, IEEE/ASME Transactions on Mechatronics, Real-Time Systems, Autonomous Robots 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.

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