Simon DiMaio

58 papers receiving 2.8k citations

Hit Papers

An open-source research kit for the da Vinci® Surgical System 2014 · 346 citations
3462014202620182022100200300

Peers

Simon DiMaio
Comparison fields: 5 of 113
  • Biomedical Engineering 2.1k
  • Computer Vision and Pattern Recognition 615
  • Control and Systems Engineering 613
  • Surgery 1.1k
  • Radiation 215
Replace Gregory S. Fischer with:
Gregory S. Fischer United States
Dan Stoianovici United States
Jocelyne Troccaz France
Stéphane Cotin France
Michel de Mathelin France
Ka‐Wai Kwok Hong Kong
Ferdinando Rodriguez y Baena United Kingdom
Ken Masamune Japan
Anton Deguet United States
Nobuhiko Hata United States
Simon DiMaio relative to Gregory S. Fischer United States Gregory S. Fischer's profile →
Citations per field
00.5×1.5×
Gregory S. Fischer · 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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003400
2
An open-source research kit for the da Vinci® Surgical System
Hit paper breakdown →
2014346
3 2002239
4 2008233
5 2005199
6 2005178
7 2019108
8 2021102
9 200398
10 200772
11 200766
12 199962
13 200749
14 200644
15 200944
16 200244
17 200341
18 200538
19 200735
20 200634

About Simon DiMaio

Simon DiMaio is a scholar working on Radiation, Biomedical Engineering, Computer Vision and Pattern Recognition, Surgery and Control and Systems Engineering, having authored 58 papers that have together received 2.9k indexed citations. Recurring topics across this work include Surgical Simulation and Training (28 papers), Soft Robotics and Applications (28 papers), Teleoperation and Haptic Systems (14 papers), Robot Manipulation and Learning (8 papers), Advanced Radiotherapy Techniques (8 papers), Augmented Reality Applications (8 papers), Advanced MRI Techniques and Applications (6 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Biomedical Engineering (2.1k citations), Computer Vision and Pattern Recognition (615 citations), Control and Systems Engineering (613 citations), Surgery (1.1k citations) and Radiation (215 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, M.R. Sirouspour, Purang Abolmaesumi and Zihan Chen. Their work appears in journals such as Computer Aided Surgery, IEEE Transactions on Robotics and Automation, IEEE Transactions on Biomedical Engineering, Operative Neurosurgery and PRESENCE Virtual and Augmented Reality.

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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