James Gain
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- Computer Graphics and Visualization Techniques 36
- Computational Geometry and Mesh Generation 6
- Human-Computer Interaction top 1%
- Geology top 2%
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- Advanced Vision and Imaging 9
- Data Visualization and Analytics 5
- Museology top 0.5%
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- 3D Shape Modeling and Analysis 25
- Advanced Numerical Analysis Techniques 7
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- Remote Sensing and LiDAR Applications 8
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- Human Motion and Animation 7
- Co-authors
- Patrick MaraisEmanuele FrontoniMafkereseb Kassahun BekeleEva Savina MalinverniRoberto PierdiccaBruce MerryDominique BechmannÉric Galin
- Journals
- Computer Graphics Forum (17 papers)ACM Transactions on Graphics (8 papers)IEEE Transactions on Visualization and Computer Graphics (3 papers)
- Partner nations
- South AfricaFranceUnited States
In The Last Decade
James Gain
67 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Computer Graphics and Computer-Aided Design 485
- Human-Computer Interaction 360
- Geology 247
- Computer Vision and Pattern Recognition 730
- Museology 98
Countries citing papers authored by James Gain
This map shows the geographic impact of James Gain'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 Gain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Gain more than expected).
Fields of papers citing papers by James Gain
This network shows the impact of papers produced by James Gain. 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 Gain. The network helps show where James Gain may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James Gain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2021 | 9 | |
| 4 | 2021 | 1 | |
| 5 | 2020 | 12 | |
| 6 | 2019 | 6 | |
| 7 | 2019 | 8 | |
| 8 | 2014 | 1 | |
| 9 | 2013 | 6 | |
| 10 | 2013 | 4 | |
| 11 | 2012 | 8 | |
| 12 | 2010 | 5 | |
| 13 | 2009 | 47 | |
| 14 | 2009 | 36 | |
| 15 | 2008 | 2 | |
| 16 | 2006 | 14 | |
| 17 | 2006 | 29 | |
| 18 | 2005 | 11 | |
| 19 | Proceedings of the 1st international conference on Computer graphics, virtual reality and visualisation | 2001 | 2 |
| 20 | Adaptive Refinement and Decimation under Free-Form Deformation | 1999 | 5 |
About James Gain
James Gain is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Human-Computer Interaction and Geology, having authored 70 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (36 papers), 3D Shape Modeling and Analysis (25 papers), Advanced Vision and Imaging (9 papers), Remote Sensing and LiDAR Applications (8 papers), Human Motion and Animation (7 papers), Advanced Numerical Analysis Techniques (7 papers), Computational Geometry and Mesh Generation (6 papers) and Data Visualization and Analytics (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (485 citations), Human-Computer Interaction (360 citations), Geology (247 citations), Computer Vision and Pattern Recognition (730 citations) and Museology (98 citations). James Gain has collaborated with scholars based in South Africa, France and United States. Frequent co-authors include Patrick Marais, Emanuele Frontoni, Mafkereseb Kassahun Bekele, Eva Savina Malinverni, Roberto Pierdicca, Bruce Merry, Dominique Bechmann, Éric Galin, Éric Guérin and Marie‐Paule Cani. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, Journal of Molecular Graphics and Modelling and Journal on Computing and Cultural Heritage.
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.