Matias Korman
- Computer Graphics and Computer-Aided Design top 2%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Signal Processing
- Computational Mechanics
- Co-authors
- Takeshi TokuyamaStefan LangermanSang Won BaeRodrigo I. SilveiraJinhee ChunLuis BarbaWolfgang MulzerYoshio Okamoto
- Topics
- Computational Geometry and Mesh Generation (46 papers)Digital Image Processing Techniques (19 papers)Advanced Graph Theory Research (19 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionSignal Processing
In The Last Decade
Matias Korman
64 papers receiving 207 citations
Peers
Comparison fields: 5 of 56
- Computer Graphics and Computer-Aided Design 121
- Computer Vision and Pattern Recognition 85
- Computational Theory and Mathematics 42
- Signal Processing 40
- Computational Mechanics 31
Countries citing papers authored by Matias Korman
This map shows the geographic impact of Matias Korman'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 Matias Korman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matias Korman more than expected).
Fields of papers citing papers by Matias Korman
This network shows the impact of papers produced by Matias Korman. 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 Matias Korman. The network helps show where Matias Korman may publish in the future.
Co-authorship network of co-authors of Matias Korman
This figure shows the co-authorship network connecting the top 25 collaborators of Matias Korman. A scholar is included among the top collaborators of Matias Korman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matias Korman. Matias Korman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | Computing the Geodesic Centers of a Polygonal Domain∗ | 3 |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 6 | |
| 13 | 7 | |
| 14 | 7 | |
| 15 | Establishing strong connectivity using optimal radius half-disk antennas | 3 |
| 16 | Some properties of higher order delaunay and gabriel graphs | 2 |
| 17 | 12 | |
| 18 | Algorithms for computing the maximum weight region decomposable into elementary shapes | 1 |
| 19 | Optimal insertion of a segment highway in a city metric | 0 |
| 20 | Optimal highway location problem | 3 |
About Matias Korman
Matias Korman is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computational Theory and Mathematics, having authored 68 papers that have together received 214 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (46 papers), Digital Image Processing Techniques (19 papers) and Advanced Graph Theory Research (19 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (121 citations), Computer Vision and Pattern Recognition (85 citations) and Signal Processing (40 citations). Matias Korman has collaborated with scholars based in Japan, Spain and Belgium. Frequent co-authors include Takeshi Tokuyama, Stefan Langerman, Sang Won Bae, Rodrigo I. Silveira, Jinhee Chun, Luis Barba, Wolfgang Mulzer, Yoshio Okamoto, Martin Nöllenburg and Ferrán Hurtado. Their work appears in journals such as European Journal of Operational Research, Information Sciences and Applied Mathematics and Computation.
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.