Simon Premože

1.2k citations
21 papers · 871 indexed · h-index 15

Simon Premože

21 papers receiving 801 citations

Peers

Simon Premože
Comparison fields: 5 of 76
  • Computer Graphics and Computer-Aided Design 722
  • Computer Vision and Pattern Recognition 590
  • Computational Mechanics 393
  • Acoustics and Ultrasonics 10
  • Geology 31
Replace Per H. Christensen with:
Per H. Christensen United States
Iliyan Georgiev Germany
Eugene d’Eon United States
Nicolas Holzschuch France
Christophe Schlick France
Delio Vicini Switzerland
Alexander Wilkie Czechia
Eihachiro Nakamae Japan
Brian Smits United States
Toshiya Hachisuka Canada
Simon Premože relative to Per H. Christensen United States Per H. Christensen's profile →
Citations per field
00.5×1.5×
Per H. Christensen · 1×
Citations per year

Countries citing papers authored by Simon Premože

Since Specialization
Citations

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

Fields of papers citing papers by Simon Premože

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20187
2 201216
3 201113
4 20112
5
Image synthesis using adjoint photons
20065
6 200618
7 200514
8 200461
9 20048
10 200470
11 200329
12 20036
13 2003124
14 200281
15 200223
16 200130
17 200154
18 200121
19 2000227
20 199922

About Simon Premože

Simon Premože is a scholar working on Computer Graphics and Computer-Aided Design, Acoustics and Ultrasonics, Computer Vision and Pattern Recognition, Computational Mechanics and Environmental Engineering, having authored 21 papers that have together received 871 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (19 papers), 3D Shape Modeling and Analysis (9 papers), Advanced Vision and Imaging (7 papers), Image Enhancement Techniques (4 papers), Remote Sensing and LiDAR Applications (3 papers), Data Visualization and Analytics (2 papers), Optical Imaging and Spectroscopy Techniques (2 papers) and Scientific Research and Discoveries (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (722 citations), Computer Vision and Pattern Recognition (590 citations), Computational Mechanics (393 citations), Acoustics and Ultrasonics (10 citations) and Geology (31 citations). Simon Premože has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Peter Shirley, Joe Kniss, Charles Hansen, Michael Ashikhmin, David S. Ebert, Ravi Ramamoorthi, Shree K. Nayar, Aaron Lefohn, Jerry Tessendorf and Emil Praun. Their work appears in journals such as The Visual Computer, Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics and IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control.

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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