Alexandre Kaspar
Impact in
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- Computer Graphics and Visualization Techniques
- Human-Computer Interaction top 5%
- Interactive and Immersive Displays
Papers in
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- Image Enhancement Techniques 4
- Advanced Vision and Imaging 2
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- Computer Graphics and Visualization Techniques 5
- Computational Geometry and Mesh Generation 2
- Co-authors
- Wojciech Matusik (10 shared papers)Liane Makatura (3 shared papers)Kiril Vidimče (3 shared papers)Mark V. Pauly (2 shared papers)Boris Neubert (1 shared paper)Johannes Kopf (1 shared paper)Dani Lischinski (1 shared paper)Mohamed Elgharib (4 shared papers)
- Journals
- ACM Transactions on Graphics (3 papers)Computer-Aided Design (1 paper)Computer Graphics Forum (1 paper)IEEE Transactions on Multimedia (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Alexandre Kaspar
13 papers receiving 338 citations
Peers
Comparison fields: 5 of 56
- Computer Graphics and Computer-Aided Design 114
- Human-Computer Interaction 63
- Architecture 13
- Computer Vision and Pattern Recognition 161
- Computational Mechanics 88
Countries citing papers authored by Alexandre Kaspar
This map shows the geographic impact of Alexandre Kaspar'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 Alexandre Kaspar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Kaspar more than expected).
Fields of papers citing papers by Alexandre Kaspar
This network shows the impact of papers produced by Alexandre Kaspar. 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 Alexandre Kaspar. The network helps show where Alexandre Kaspar may publish in the future.
Co-authors
The 23 scholars most cited alongside Alexandre Kaspar, 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 | 2015 | 66 | |
| 2 | 2019 | 57 | |
| 3 | 2019 | 54 | |
| 4 | 2017 | 52 | |
| 5 | 2016 | 40 | |
| 6 | 2014 | 31 | |
| 7 | 2021 | 24 | |
| 8 | 2017 | 7 | |
| 9 | 2018 | 6 | |
| 10 | 2015 | 5 | |
| 11 | 2014 | 4 | |
| 12 | 2017 | 1 | |
| 13 | 2021 | 1 |
About Alexandre Kaspar
Alexandre Kaspar is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Human-Computer Interaction and Social Psychology, having authored 13 papers that have together received 348 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers), Image Enhancement Techniques (4 papers), 3D Shape Modeling and Analysis (4 papers), Interactive and Immersive Displays (3 papers), Computational Geometry and Mesh Generation (2 papers), Color Science and Applications (2 papers), Color perception and design (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (114 citations), Human-Computer Interaction (63 citations), Architecture (13 citations), Computer Vision and Pattern Recognition (161 citations) and Computational Mechanics (88 citations). Alexandre Kaspar has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Wojciech Matusik, Liane Makatura, Kiril Vidimče, Mark V. Pauly, Boris Neubert, Johannes Kopf, Dani Lischinski, Mohamed Elgharib, Piotr Didyk and Chang-Il Kim. Their work appears in journals such as ACM Transactions on Graphics, Computer-Aided Design, Computer Graphics Forum, IEEE Transactions on Multimedia and Lecture notes in computer science.
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.