James Painter

1.1k citations
23 papers · 706 · h-index 11

Impact in

Papers in

James Painter

23 papers receiving 642 citations

Peers

James Painter
Comparison fields: 5 of 51
  • Computer Graphics and Computer-Aided Design 599
  • Computer Vision and Pattern Recognition 555
  • Computational Mechanics 253
  • Signal Processing 36
  • Geochemistry and Petrology 18
Replace Martin E. Newell with:
Martin E. Newell United States
Magnus Strengert Germany
Greg Coombe United States
Jesse D. Hall United States
Randi J. Rost United States
José A. Iglesias-Guitián Italy
Christian Bouville France
Bernard Péroche France
Minmin Gong China
Thiago Ize United States
James Painter relative to Martin E. Newell United States Martin E. Newell's profile →
Citations per field
00.5×
Martin E. Newell · 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 17 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994198
2 198998
3 199383
4 199375
5 200156
6 198950
7 199130
8 198825
9 199223
10 200814
11 199312
12 19869
13 19906
14
The ACL Message Passing Library
19955
15 19975
16 19964
17 20023
18 20023
19 19922
20 19862

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 23 papers that have together received 706 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (17 papers), 3D Shape Modeling and Analysis (8 papers), Advanced Vision and Imaging (5 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Image Processing Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Data Visualization and Analytics (3 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (599 citations), Computer Vision and Pattern Recognition (555 citations), Computational Mechanics (253 citations), Signal Processing (36 citations) and Geochemistry and Petrology (18 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, James Ahrens, Joe Kniss, Yarden Livnat and Hans‐Peter Bunge. Their work appears in journals such as IEEE Computer Graphics and Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, Parallel Computing, Computers & Graphics 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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