Thomas Wächtler
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Molecular Biology
- Social Psychology top 5%
- Co-authors
- Terrence J. SejnowskiThomas D. AlbrightRembrandt BakkerFrank BremmerMarkus DiesmannTe-Won LeeHiromu TanimotoChristopher Schnaitmann
- Topics
- Visual perception and processing mechanisms (27 papers)Neural dynamics and brain function (25 papers)Scientific Computing and Data Management (15 papers)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Thomas Wächtler
70 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 110
- Cognitive Neuroscience 945
- Cellular and Molecular Neuroscience 386
- Atomic and Molecular Physics, and Optics 234
- Molecular Biology 189
- Social Psychology 185
Countries citing papers authored by Thomas Wächtler
This map shows the geographic impact of Thomas Wächtler'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 Wächtler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Wächtler more than expected).
Fields of papers citing papers by Thomas Wächtler
This network shows the impact of papers produced by Thomas Wächtler. 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 Wächtler. The network helps show where Thomas Wächtler may publish in the future.
Co-authorship network of co-authors of Thomas Wächtler
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Wächtler. A scholar is included among the top collaborators of Thomas Wächtler 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 Wächtler. Thomas Wächtler 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 | 1 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 63 | |
| 10 | 17 | |
| 11 | 21 | |
| 12 | 7 | |
| 13 | 30 | |
| 14 | 15 | |
| 15 | 2 | |
| 16 | 68 | |
| 17 | 36 | |
| 18 | Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes | 2 |
| 19 | 12 | |
| 20 | Detection and discrimination of chromatic edge displacements | 2 |
About Thomas Wächtler
Thomas Wächtler is a scholar working on Cognitive Neuroscience, Information Systems and Management and Biophysics, having authored 77 papers that have together received 1.5k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (27 papers), Neural dynamics and brain function (25 papers) and Scientific Computing and Data Management (15 papers). The work is most often cited by research in Cognitive Neuroscience (945 citations), Cellular and Molecular Neuroscience (386 citations) and Biophysics (95 citations). Thomas Wächtler has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Terrence J. Sejnowski, Thomas D. Albright, Rembrandt Bakker, Frank Bremmer, Markus Diesmann, Te-Won Lee, Hiromu Tanimoto, Christopher Schnaitmann, Reinhard Eckhorn and Jan Grewe. Their work appears in journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.
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.