R. Grosso

8.3k citations
39 papers · 374 · h-index 12

Impact in

Papers in

R. Grosso

39 papers receiving 345 citations

Peers

R. Grosso
Comparison fields: 5 of 85
  • Computer Graphics and Computer-Aided Design 169
  • Computational Mechanics 146
  • Computer Vision and Pattern Recognition 109
  • Radiology, Nuclear Medicine and Imaging 40
  • Geochemistry and Petrology 8
Replace Bill Lorensen with:
Bill Lorensen United States
Siegwalt Ludke United States
Christian Tietjen Germany
Toyofumi Saito Japan
Lukas Mroz Austria
Robert Van Uitert United States
Satoshi Tanaka Japan
M. Bomans Germany
Laurent D. Cohen France
Alexis Gourdon France
R. Grosso relative to Bill Lorensen United States Bill Lorensen's profile →
Citations per field
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Citations per year

Countries citing papers authored by R. Grosso

Since Specialization
Citations

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

Fields of papers citing papers by R. Grosso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200568
2 199755
3 200226
4 200022
5 201618
6 202015
7 200413
8 201912
9
Line Integral Convolution on Triangulated Surfaces
199711
10 200311
11 201411
12 200211
13 199810
14 20168
15
Progressive Iso-surfaces on the Web
19987
16 19997
17 19996
18
PARALLEL CONSTRUCTION AND ISOSURFACE EXTRACTION OF RECURSIVE TREE STRUCTURES
19986
19 20076
20 20205

About R. Grosso

R. Grosso is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Aerospace Engineering and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 374 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (18 papers), 3D Shape Modeling and Analysis (17 papers), Computational Geometry and Mesh Generation (11 papers), Advanced Vision and Imaging (5 papers), Image Processing and 3D Reconstruction (4 papers), Advanced Numerical Analysis Techniques (4 papers), Geological Modeling and Analysis (3 papers) and Black Holes and Theoretical Physics (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (169 citations), Computational Mechanics (146 citations), Computer Vision and Pattern Recognition (109 citations), Radiology, Nuclear Medicine and Imaging (40 citations) and Geochemistry and Petrology (8 citations). R. Grosso has collaborated with scholars based in Germany, Argentina and France. Frequent co-authors include Thomas Ertl, Günther Greiner, G. Greiner, Grzegorz Soza, Christopher Nimsky, Rudolf Fahlbusch, Peter Hastreiter, Rolf Janka, Vadym Aizinger and Harald Köstler. Their work appears in journals such as The Visual Computer, Computer Graphics Forum, Classical and Quantum Gravity, Journal of Fluids and Structures and Medicine.

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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