Thomas Bühler
Impact in
- Computational Mathematics top 10%
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Complex Network Analysis Techniques 2
-
- Data Management and Algorithms 1
- Blind Source Separation Techniques 1
- Co-authors
- Matthias Hein (3 shared papers)Syama Sundar Rangapuram (1 shared paper)Markus Kächele (1 shared paper)
- Journals
- arXiv (Cornell University) (1 paper)International Conference on Machine Learning (1 paper)
- Partner nations
- Germany
In The Last Decade
Thomas Bühler
4 papers receiving 283 citations
Peers
Comparison fields: 5 of 63
- Computational Mathematics 10
- Computer Science Applications 35
- Statistical and Nonlinear Physics 73
- Computational Theory and Mathematics 81
- Computer Vision and Pattern Recognition 97
Countries citing papers authored by Thomas Bühler
This map shows the geographic impact of Thomas Bühler'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 Thomas Bühler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Bühler more than expected).
Fields of papers citing papers by Thomas Bühler
This network shows the impact of papers produced by Thomas Bühler. 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 Thomas Bühler. The network helps show where Thomas Bühler may publish in the future.
Co-authors
The 3 scholars most cited alongside Thomas Bühler, 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 | 2009 | 139 | |
| 2 | 2010 | 85 | |
| 3 | 2013 | 55 | |
| 4 | Speeding up k-means by approximating Euclidean distances via block vectors | 2016 | 18 |
About Thomas Bühler
Thomas Bühler is a scholar working on Statistical and Nonlinear Physics, Signal Processing, Artificial Intelligence, Numerical Analysis and Geometry and Topology, having authored 4 papers that have together received 297 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (2 papers), Advanced Clustering Algorithms Research (1 paper), Data Management and Algorithms (1 paper), Sparse and Compressive Sensing Techniques (1 paper), Blind Source Separation Techniques (1 paper), Advanced Optimization Algorithms Research (1 paper), Graph theory and applications (1 paper) and Mobile Crowdsensing and Crowdsourcing (1 paper). The work is most often cited by research in Computational Mathematics (10 citations), Computer Science Applications (35 citations), Statistical and Nonlinear Physics (73 citations), Computational Theory and Mathematics (81 citations) and Computer Vision and Pattern Recognition (97 citations). Thomas Bühler has collaborated with scholars based in Germany. Frequent co-authors include Matthias Hein, Syama Sundar Rangapuram and Markus Kächele. Their work appears in journals such as arXiv (Cornell University) and International Conference on Machine Learning.
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.