Silvio Rizzi

43 papers receiving 561 citations

Peers

Silvio Rizzi
Comparison fields: 5 of 83
  • Computer Graphics and Computer-Aided Design 40
  • Human-Computer Interaction 47
  • Surgery 281
  • Computer Vision and Pattern Recognition 127
  • Hardware and Architecture 23
Replace Ken’ichi Morooka with:
Ken’ichi Morooka Japan
Takeshi Asahi Chile
Jason Yang United States
Maxim Makhinya Switzerland
Xuyuan Xu Hong Kong
Muhammad Nadeem Pakistan
Ming‐Sui Lee Taiwan
H.T. Tsui Hong Kong
Giuliano Grossi Italy
Paul R. Dixon Japan
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Citations per year

Countries citing papers authored by Silvio Rizzi

Since Specialization
Citations

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

Fields of papers citing papers by Silvio Rizzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012114
2 201488
3 201387
4 201256
5 200731
6 201325
7 202116
8 201316
9 201416
10 201514
11 202211
12 201411
13 20139
14 20168
15 20187
16 20176
17 20185
18 20145
19
Virtual reality and haptic interface for cellular injection simulation.
20074
20 20193

About Silvio Rizzi

Silvio Rizzi is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics and Artificial Intelligence, having authored 53 papers that have together received 575 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (13 papers), Computer Graphics and Visualization Techniques (13 papers), Distributed and Parallel Computing Systems (9 papers), 3D Shape Modeling and Analysis (8 papers), Surgical Simulation and Training (7 papers), Parallel Computing and Optimization Techniques (6 papers), Cloud Computing and Resource Management (5 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (40 citations), Human-Computer Interaction (47 citations), Surgery (281 citations), Computer Vision and Pattern Recognition (127 citations) and Hardware and Architecture (23 citations). Silvio Rizzi has collaborated with scholars based in United States, Argentina and Spain. Frequent co-authors include Cristián Luciano, Pat Banerjee, Ben Roitberg, Fady T. Charbel, Ali Alaraj, Kevin T. Foley, Jaime Gasco, Joseph A. Insley, Michael E. Papka and Konstantin V. Slavin. Their work appears in journals such as Neurosurgery, The Astrophysical Journal Supplement Series, Neurological Research, Journal of Computational Science and Computers & Graphics.

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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