James Painter

1.1k citations
25 papers · 867 · h-index 13

Impact in

Papers in

James Painter

25 papers receiving 783 citations

Peers

James Painter
Comparison fields: 5 of 62
  • Computer Graphics and Computer-Aided Design 722
  • Computer Vision and Pattern Recognition 636
  • Computational Mechanics 350
  • Geology 24
  • Signal Processing 38
Replace Stefan Guthe with:
Stefan Guthe Germany
Martin E. Newell United States
Barthold Lichtenbelt United States
Arthur Appel United States
Tiow-Seng Tan Singapore
Magnus Strengert Germany
Greg Coombe United States
Simon Stegmaier Germany
Sven Woop United Kingdom
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James Painter relative to Stefan Guthe Germany Stefan Guthe's profile →
Citations per field
00.5×1.5×
Stefan Guthe · 1×
Citations per year

Countries citing papers authored by James Painter

Since Specialization
Citations

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

Fields of papers citing papers by James Painter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside James Painter, 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 James Painter Line = papers co-authored together James Painter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994217
2 1989115
3 199398
4 199383
5 200164
6 198963
7 199256
8 198830
9 199130
10 199224
11 200816
12 199313
13 198612
14 19909
15 19917
16 19977
17
The ACL Message Passing Library
19955
18 19964
19 20024
20 20023

About James Painter

James Painter is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Aerospace Engineering and Computer Networks and Communications, having authored 25 papers that have together received 867 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (18 papers), 3D Shape Modeling and Analysis (8 papers), Advanced Vision and Imaging (6 papers), Computational Geometry and Mesh Generation (3 papers), Robotics and Sensor-Based Localization (3 papers), Medical Image Segmentation Techniques (3 papers), Data Visualization and Analytics (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (722 citations), Computer Vision and Pattern Recognition (636 citations), Computational Mechanics (350 citations), Geology (24 citations) and Signal Processing (38 citations). James Painter has collaborated with scholars based in United States. Frequent co-authors include Kenneth R. Sloan, Charles Hansen, M. Krogh, Kwan‐Liu Ma, Michael F. Cohen, Patrick McCormick, Joe Kniss, Charles Loop, Stephen Mann and David Meyers. Their work appears in journals such as IEEE Computer Graphics and Applications, Computers & Graphics, IEEE Transactions on Pattern Analysis and Machine Intelligence, Parallel Computing and ACM SIGGRAPH Computer 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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