George Mylonas

2.5k citations
77 papers · 1.7k indexed · 1 hit paper · h-index 24
Topics
Surgical Simulation and Training (41 papers)Soft Robotics and Applications (38 papers)Anatomy and Medical Technology (15 papers)
Journals
SHILAP Revista de lepidopterologíaNeuroImageAnnals of Surgery
Partner nations
United KingdomChinaItaly

In The Last Decade

George Mylonas

74 papers receiving 1.7k citations

Hit Papers

Soft Robotics in Minimally Invasive Surgery20192026202120232019100200300

Peers

George Mylonas
Comparison fields: 5 of 120
  • Biomedical Engineering 997
  • Surgery 650
  • Computer Vision and Pattern Recognition 418
  • Mechanical Engineering 274
  • Control and Systems Engineering 211
Replace Michael C. Yip with:
Michael C. Yip United States
M. Cenk Çavuşoğlu United States
Ken Masamune Japan
Masakatsu G. Fujie Japan
Jocelyne Troccaz France
Emmanuel Vander Poorten Belgium
Fernando Bello United Kingdom
Simon DiMaio United States
Zhenglong Sun China
Anton Deguet United States
George Mylonas relative to Michael C. Yip United States Michael C. Yip's profile →
Citations per field
00.5×1.5×
Michael C. Yip · 1×
Citations per year

Countries citing papers authored by George Mylonas

Since Specialization
Citations

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

Fields of papers citing papers by George Mylonas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Mylonas

This figure shows the co-authorship network connecting the top 25 collaborators of George Mylonas. A scholar is included among the top collaborators of George Mylonas 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 George Mylonas. George Mylonas 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
#WorkIndexed citations
1 1
2 3
3 3
4 4
5 1
6 13
7 9
8 10
9 17
10 45
11
Soft Robotics in Minimally Invasive Surgerybreakdown →
367
12 1
13 17
14 29
15 16
16 4
17 7
18 34
19 8
20 37

About George Mylonas

George Mylonas is a scholar working on Human-Computer Interaction, Biomedical Engineering and Surgery, having authored 77 papers that have together received 1.7k indexed citations. Recurring topics across this work include Surgical Simulation and Training (41 papers), Soft Robotics and Applications (38 papers) and Anatomy and Medical Technology (15 papers). The work is most often cited by research in Human-Computer Interaction (197 citations), Biomedical Engineering (997 citations) and Computer Vision and Pattern Recognition (418 citations). George Mylonas has collaborated with scholars based in United Kingdom, China and Italy. Frequent co-authors include Ara Darzi, Mark Runciman, Guang‐Zhong Yang, Danail Stoyanov, Ka‐Wai Kwok, Guang Yang, Fani Deligianni, Adrian J. Chung, Mirna Lerotic and Mikael H. Sodergren. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Annals of Surgery.

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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