Matthias Rühl
- Computer Networks and Communications top 2%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Co-authors
- David R. KargerDietmar SaupeKrishna BharatHannes HartensteinMonika HenzingerBay-Wei ChangJon FeldmanS. P. Rajagopalan
- Topics
- Mathematical Dynamics and Fractals (5 papers)Cellular Automata and Applications (4 papers)Algorithms and Data Compression (4 papers)
- Cited by
- Computer Networks and CommunicationsComputer Graphics and Computer-Aided DesignSignal Processing
- Journals
- IEEE Transactions on Image ProcessingSAE technical papers on CD-ROM/SAE technical paper seriesSIAM Journal on Computing
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Matthias Rühl
26 papers receiving 798 citations
Peers
Comparison fields: 5 of 72
- Computer Networks and Communications 502
- Artificial Intelligence 179
- Computer Vision and Pattern Recognition 164
- Information Systems 148
- Signal Processing 118
Countries citing papers authored by Matthias Rühl
This map shows the geographic impact of Matthias Rühl'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 Matthias Rühl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Rühl more than expected).
Fields of papers citing papers by Matthias Rühl
This network shows the impact of papers produced by Matthias Rühl. 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 Matthias Rühl. The network helps show where Matthias Rühl may publish in the future.
Co-authorship network of co-authors of Matthias Rühl
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Rühl. A scholar is included among the top collaborators of Matthias Rühl 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 Matthias Rühl. Matthias Rühl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 86 | |
| 6 | 14 | |
| 7 | 42 | |
| 8 | 7 | |
| 9 | 12 | |
| 10 | 19 | |
| 11 | 99 | |
| 12 | 30 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | 12 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | 33 | |
| 19 | 11 | |
| 20 | 23 |
About Matthias Rühl
Matthias Rühl is a scholar working on Computer Graphics and Computer-Aided Design, Mathematical Physics and Computational Theory and Mathematics, having authored 26 papers that have together received 876 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (5 papers), Cellular Automata and Applications (4 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Computer Networks and Communications (502 citations), Computer Graphics and Computer-Aided Design (50 citations) and Signal Processing (118 citations). Matthias Rühl has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include David R. Karger, Dietmar Saupe, Krishna Bharat, Hannes Hartenstein, Monika Henzinger, Bay-Wei Chang, Jon Feldman, S. P. Rajagopalan, Gagan Aggarwal and Mayur Datar. Their work appears in journals such as IEEE Transactions on Image Processing, SAE technical papers on CD-ROM/SAE technical paper series and SIAM Journal on Computing.
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.