Simon DiMaio

63 papers receiving 3.4k citations

Simon DiMaio's Hit Papers

An open-source research kit for the da Vinci® Surgical System 2014 · 394 citations
3940+7+15Years since publication100200300400

Peers

Simon DiMaio
Comparison fields: 5 of 117
  • Biomedical Engineering 2.4k
  • Computer Vision and Pattern Recognition 710
  • Surgery 1.2k
  • Control and Systems Engineering 686
  • Radiation 185
Replace Jocelyne Troccaz with:
Jocelyne Troccaz France
M. De Mathelin France
Gregory S. Fischer United States
Ken Masamune Japan
Nobuhiko Hata United States
Ka‐Wai Kwok Hong Kong
Peter Kazanzides United States
Philippe Cinquin France
Mehran Armand United States
Kawal Rhode United Kingdom
Simon DiMaio relative to Jocelyne Troccaz France Jocelyne Troccaz's profile →
Citations per field
00.5×1.7×
Jocelyne Troccaz · 1×
Citations per year

Countries citing papers authored by Simon DiMaio

Since Specialization
Citations

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

Fields of papers citing papers by Simon DiMaio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simon DiMaio, 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 Simon DiMaio Line = papers co-authored together Simon DiMaio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Needle insertion modeling and simulation
Hit paper breakdown →
2003437
2
An open-source research kit for the da Vinci® Surgical System
Hit paper breakdown →
2014394
3 2002256
4 2008253
5 2005213
6 2005193
7 2021125
8 2019123
9 2010106
10 2003105
11 200395
12 200778
13 200775
14 199964
15 200756
16 200954
17 200647
18 200246
19 200340
20 200238

About Simon DiMaio

Simon DiMaio is a scholar working on Biomedical Engineering, Surgery, Computer Vision and Pattern Recognition, Radiation and Control and Systems Engineering, having authored 63 papers that have together received 3.5k indexed citations. Recurring topics across this work include Surgical Simulation and Training (30 papers), Soft Robotics and Applications (30 papers), Teleoperation and Haptic Systems (14 papers), Augmented Reality Applications (9 papers), Advanced Radiotherapy Techniques (8 papers), Robot Manipulation and Learning (8 papers), Robotics and Sensor-Based Localization (7 papers) and Anatomy and Medical Technology (6 papers). The work is most often cited by research in Biomedical Engineering (2.4k citations), Computer Vision and Pattern Recognition (710 citations), Surgery (1.2k citations), Control and Systems Engineering (686 citations) and Radiation (185 citations). Simon DiMaio has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Septimiu E. Salcudean, Gregory S. Fischer, Peter Kazanzides, Gábor Fichtinger, Russell H. Taylor, Anton Deguet, Nobuhiko Hata, Zihan Chen, Purang Abolmaesumi and M.R. Sirouspour. Their work appears in journals such as Computer Aided Surgery, IEEE Transactions on Biomedical Engineering, Operative Neurosurgery, IEEE Transactions on Robotics and Automation 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.

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