Thomas Bühler
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 5%
- Statistical and Nonlinear Physics top 10%
- Computational Mechanics
- Topics
- Complex Network Analysis Techniques (2 papers)Facility Location and Emergency Management (1 paper)Sparse and Compressive Sensing Techniques (1 paper)
- Journals
- arXiv (Cornell University)International Conference on Machine Learning
- Partner nations
- Germany
In The Last Decade
Thomas Bühler
4 papers receiving 278 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 111
- Computer Vision and Pattern Recognition 97
- Computational Theory and Mathematics 79
- Statistical and Nonlinear Physics 70
- Computational Mechanics 54
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-authorship network of co-authors of Thomas Bühler
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Bühler. A scholar is included among the top collaborators of Thomas Bühler 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 Thomas Bühler. Thomas Bühler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Speeding up k-means by approximating Euclidean distances via block vectors | 18 |
| 2 | 55 | |
| 3 | 83 | |
| 4 | 137 |
About Thomas Bühler
Thomas Bühler is a scholar working on Signal Processing, Computer Science Applications and Numerical Analysis, having authored 4 papers that have together received 293 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (2 papers), Facility Location and Emergency Management (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). The work is most often cited by research in Computational Mathematics (10 citations), Computer Science Applications (35 citations) and Statistical and Nonlinear Physics (70 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.