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 Image Processing Techniques 2
- Advanced Vision and Imaging 2
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- 3D Shape Modeling and Analysis 4
- Co-authors
- Wojciech Matusik (9 shared papers)Liane Makatura (3 shared papers)Kiril Vidimče (3 shared papers)Mark V. Pauly (2 shared papers)Dani Lischinski (1 shared paper)Boris Neubert (1 shared paper)Johannes Kopf (1 shared paper)Piotr Didyk (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)DSpace@MIT (Massachusetts Institute of Technology) (3 papers)
- Partner nations
- United StatesGermanyQatar
In The Last Decade
Alexandre Kaspar
11 papers receiving 261 citations
Peers
Comparison fields: 5 of 50
- Computer Graphics and Computer-Aided Design 104
- Human-Computer Interaction 61
- Architecture 12
- Computer Vision and Pattern Recognition 109
- Automotive Engineering 46
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 21 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 | 61 | |
| 2 | 2019 | 53 | |
| 3 | 2017 | 50 | |
| 4 | 2016 | 37 | |
| 5 | 2014 | 28 | |
| 6 | 2021 | 21 | |
| 7 | 2017 | 6 | |
| 8 | 2018 | 5 | |
| 9 | 2015 | 4 | |
| 10 | 2021 | 1 | |
| 11 | 2017 | 1 |
About Alexandre Kaspar
Alexandre Kaspar is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Social Psychology, having authored 11 papers that have together received 267 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (4 papers), Computer Graphics and Visualization Techniques (4 papers), Image Enhancement Techniques (4 papers), Interactive and Immersive Displays (3 papers), Advanced Image Processing Techniques (2 papers), Color perception and design (2 papers), Human Motion and Animation (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (104 citations), Human-Computer Interaction (61 citations), Architecture (12 citations), Computer Vision and Pattern Recognition (109 citations) and Automotive Engineering (46 citations). Alexandre Kaspar has collaborated with scholars based in United States, Germany and Qatar. Frequent co-authors include Wojciech Matusik, Liane Makatura, Kiril Vidimče, Mark V. Pauly, Dani Lischinski, Boris Neubert, Johannes Kopf, Piotr Didyk, Ye Wang and Michael Foshey. Their work appears in journals such as ACM Transactions on Graphics, Computer-Aided Design, Computer Graphics Forum, IEEE Transactions on Multimedia and DSpace@MIT (Massachusetts Institute of Technology).
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.