Timo Reuter
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Education
- Co-authors
- Philipp CimianoMiriam LeuchterSymeon PapadopoulosIoannis KompatsiarisGeorgios PetkosVasileios MezarisShlomo GevaJulia Karbach
- Topics
- Science Education and Pedagogy (6 papers)Child and Animal Learning Development (4 papers)Visual and Cognitive Learning Processes (3 papers)
In The Last Decade
Timo Reuter
15 papers receiving 246 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 133
- Statistical and Nonlinear Physics 99
- Computer Vision and Pattern Recognition 90
- Information Systems 70
- Education 46
Countries citing papers authored by Timo Reuter
This map shows the geographic impact of Timo Reuter'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 Timo Reuter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Reuter more than expected).
Fields of papers citing papers by Timo Reuter
This network shows the impact of papers produced by Timo Reuter. 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 Timo Reuter. The network helps show where Timo Reuter may publish in the future.
Co-authorship network of co-authors of Timo Reuter
This figure shows the co-authorship network connecting the top 25 collaborators of Timo Reuter. A scholar is included among the top collaborators of Timo Reuter 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 Timo Reuter. Timo Reuter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 19 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 13 | |
| 11 | 16 | |
| 12 | 0 | |
| 13 | 10 | |
| 14 | 7 | |
| 15 | 72 | |
| 16 | Social event detection at MediaEval 2013: Challenges, datasets, and evaluation | 107 |
| 17 | 1 | |
| 18 | 11 | |
| 19 | CarDriver: Using Python and Panda3D to contruct a virtual environment for teaching driving | 1 |
About Timo Reuter
Timo Reuter is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology and Statistics and Probability, having authored 19 papers that have together received 281 indexed citations. Recurring topics across this work include Science Education and Pedagogy (6 papers), Child and Animal Learning Development (4 papers) and Visual and Cognitive Learning Processes (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (99 citations), Computer Vision and Pattern Recognition (90 citations) and Artificial Intelligence (133 citations). Timo Reuter has collaborated with scholars based in Germany, Australia and Greece. Frequent co-authors include Philipp Cimiano, Miriam Leuchter, Symeon Papadopoulos, Ioannis Kompatsiaris, Georgios Petkos, Vasileios Mezaris, Shlomo Geva, Julia Karbach, Hrafn Loftsson and Wolfgang Schnotz. Their work appears in journals such as PLoS ONE, Frontiers in Psychology and Teaching and Teacher Education.
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.