J. Matoušek
Impact in
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- Computational Geometry and Mesh Generation
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
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- Particle physics theoretical and experimental studies 7
- High-Energy Particle Collisions Research 6
- Quantum Chromodynamics and Particle Interactions 5
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- Complexity and Algorithms in Graphs 2
- Co-authors
- Emo Welzl (1 shared paper)M. Sharir (1 shared paper)Pankaj K. Agarwal (1 shared paper)Petr Kočí (1 shared paper)Pavlína Hájková (1 shared paper)P. Špatenka (1 shared paper)A. Kerbizi (2 shared papers)G. Sbrizzai (2 shared papers)
- Journals
- Algorithmica (2 papers)The European Physical Journal D (1 paper)Physical review. D (1 paper)Discrete & Computational Geometry (1 paper)Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms (1 paper)
- Partner nations
- CzechiaUnited StatesItaly
In The Last Decade
J. Matoušek
11 papers receiving 230 citations
Peers
Comparison fields: 5 of 50
- Computer Graphics and Computer-Aided Design 139
- Signal Processing 65
- Computational Theory and Mathematics 87
- Computer Vision and Pattern Recognition 55
- Numerical Analysis 12
Countries citing papers authored by J. Matoušek
This map shows the geographic impact of J. Matoušek'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 J. Matoušek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Matoušek more than expected).
Fields of papers citing papers by J. Matoušek
This network shows the impact of papers produced by J. Matoušek. 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 J. Matoušek. The network helps show where J. Matoušek may publish in the future.
Co-authors
The 23 scholars most cited alongside J. Matoušek, 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 | 1996 | 149 | |
| 2 | 1995 | 66 | |
| 3 | 2009 | 14 | |
| 4 | 2016 | 5 | |
| 5 | 1997 | 5 | |
| 6 | 2019 | 3 | |
| 7 | 2016 | 2 | |
| 8 | 2017 | 1 | |
| 9 | 2019 | 1 | |
| 10 | 2017 | 1 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 0 | |
| 13 | 2013 | 0 |
About J. Matoušek
J. Matoušek is a scholar working on Nuclear and High Energy Physics, Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 13 papers that have together received 248 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (7 papers), High-Energy Particle Collisions Research (6 papers), Quantum Chromodynamics and Particle Interactions (5 papers), Computational Geometry and Mesh Generation (3 papers), Superconducting Materials and Applications (2 papers), Digital Image Processing Techniques (2 papers), Complexity and Algorithms in Graphs (2 papers) and TiO2 Photocatalysis and Solar Cells (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (139 citations), Signal Processing (65 citations), Computational Theory and Mathematics (87 citations), Computer Vision and Pattern Recognition (55 citations) and Numerical Analysis (12 citations). J. Matoušek has collaborated with scholars based in Czechia, United States and Italy. Frequent co-authors include Emo Welzl, M. Sharir, Pankaj K. Agarwal, Petr Kočí, Pavlína Hájková, P. Špatenka, A. Kerbizi, G. Sbrizzai, A. Martin and A. Bressan. Their work appears in journals such as Algorithmica, The European Physical Journal D, Physical review. D, Discrete & Computational Geometry and Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms.
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.