Thomas Wächtler

2.4k total citations
77 papers, 1.5k citations indexed

About

Thomas Wächtler is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Information Systems and Management. According to data from OpenAlex, Thomas Wächtler has authored 77 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Cognitive Neuroscience, 16 papers in Atomic and Molecular Physics, and Optics and 15 papers in Information Systems and Management. Recurrent topics in Thomas Wächtler's work include Visual perception and processing mechanisms (27 papers), Neural dynamics and brain function (25 papers) and Scientific Computing and Data Management (15 papers). Thomas Wächtler is often cited by papers focused on Visual perception and processing mechanisms (27 papers), Neural dynamics and brain function (25 papers) and Scientific Computing and Data Management (15 papers). Thomas Wächtler collaborates with scholars based in Germany, United States and Japan. Thomas Wächtler's co-authors include Terrence J. Sejnowski, Thomas D. Albright, Markus Diesmann, Rembrandt Bakker, Frank Bremmer, Te-Won Lee, Hiromu Tanimoto, Christopher Schnaitmann, Reinhard Eckhorn and Jan Grewe and has published in prestigious journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Thomas Wächtler

70 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Wächtler Germany 20 945 386 234 189 185 77 1.5k
Jochen Braun Germany 33 3.4k 3.6× 494 1.3× 209 0.9× 463 2.4× 314 1.7× 87 4.3k
Nicole C. Rust United States 23 3.3k 3.5× 1.1k 2.9× 69 0.3× 424 2.2× 169 0.9× 43 4.0k
Cong Yu China 25 1.8k 1.9× 207 0.5× 154 0.7× 209 1.1× 130 0.7× 86 2.1k
Markus Axer Germany 22 535 0.6× 133 0.3× 53 0.2× 47 0.2× 77 0.4× 73 1.4k
Walter Makous United States 25 1.3k 1.4× 383 1.0× 286 1.2× 397 2.1× 143 0.8× 69 2.0k
Alan A. Stocker United States 20 1.6k 1.7× 201 0.5× 84 0.4× 69 0.4× 210 1.1× 60 2.0k
R. Beau Lotto United Kingdom 20 636 0.7× 233 0.6× 209 0.9× 187 1.0× 241 1.3× 44 1.2k
Alessandra Angelucci United States 27 3.5k 3.7× 1.3k 3.4× 196 0.8× 485 2.6× 240 1.3× 55 4.1k
Joshua A. Solomon United Kingdom 29 2.3k 2.5× 177 0.5× 574 2.5× 74 0.4× 372 2.0× 97 3.3k
Charles E. Connor United States 28 4.3k 4.6× 678 1.8× 236 1.0× 276 1.5× 424 2.3× 42 4.8k

Countries citing papers authored by Thomas Wächtler

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Hachinger, Stephan, et al.. (2024). RDMUC: Various Approaches to Research Data Repositories in Munich. 44(1). 28–38.
2.
Abrams, Mathew, Jan G. Bjaalie, David N. Kennedy, et al.. (2022). Recommendations for repositories and scientific gateways from a neuroscience perspective. Scientific Data. 9(1). 212–212. 7 indexed citations
3.
Sprenger, Julia, Lyuba Zehl, Jan Grewe, et al.. (2019). odMLtables: A User-Friendly Approach for Managing Metadata of Neurophysiological Experiments. Frontiers in Neuroinformatics. 13. 62–62. 11 indexed citations
4.
Ai, Hiroyuki, et al.. (2019). Adaptations during Maturation in an Identified Honeybee Interneuron Responsive to Waggle Dance Vibration Signals. eNeuro. 6(5). ENEURO.0454–18.2019. 2 indexed citations
5.
Ai, Hiroyuki, Ryuichi Okada, Midori Sakura, Thomas Wächtler, & Hidetoshi Ikeno. (2019). Neuroethology of the Waggle Dance: How Followers Interact with the Waggle Dancer and Detect Spatial Information. Insects. 10(10). 336–336. 8 indexed citations
6.
Ikeno, Hidetoshi, et al.. (2018). A Segmentation Scheme for Complex Neuronal Arbors and Application to Vibration Sensitive Neurons in the Honeybee Brain. Frontiers in Neuroinformatics. 12. 61–61. 8 indexed citations
7.
Ai, Hiroyuki, et al.. (2018). Spatial registration of neuron morphologies based on maximization of volume overlap. BMC Bioinformatics. 19(1). 143–143. 2 indexed citations
8.
Eglen, Stephen J., Ben Marwick, Yaroslav O. Halchenko, et al.. (2017). Toward standard practices for sharing computer code and programs in neuroscience. Nature Neuroscience. 20(6). 770–773. 63 indexed citations
9.
Ai, Hiroyuki, et al.. (2017). Interneurons in the Honeybee Primary Auditory Center Responding to Waggle Dance-Like Vibration Pulses. Journal of Neuroscience. 37(44). 10624–10635. 17 indexed citations
10.
Wächtler, Thomas, et al.. (2015). “Tilt” in color space: Hue changes induced by chromatic surrounds. Journal of Vision. 15(13). 17–17. 21 indexed citations
11.
Goertz, Michael, Stefan Rein, Uwe Thomas, et al.. (2010). Stimulation with a Wireless Intraocular Epiretinal Implant Elicits Visual Percepts in Blind Humans. Investigative Ophthalmology & Visual Science. 52(1). 449–449. 109 indexed citations
12.
Wächtler, Thomas, et al.. (2007). Cone selectivity derived from the responses of the retinal cone mosaic to natural scenes. Journal of Vision. 7(8). 6–6. 30 indexed citations
13.
Teichert, Tobias, et al.. (2007). Scale-invariance of receptive field properties in primary visual cortex. BMC Neuroscience. 8(1). 38–38. 15 indexed citations
14.
Wächtler, Thomas, et al.. (2006). Inhomogeneous retino-cortical mapping is supported and stabilized with correlation-learning during self-motion. Biosystems. 89(1-3). 264–272. 1 indexed citations
15.
Wächtler, Thomas, Terrence J. Sejnowski, & Thomas D. Albright. (2003). Representation of Color Stimuli in Awake Macaque Primary Visual Cortex. Neuron. 37(4). 681–691. 173 indexed citations
16.
Movellan, Javier R., Thomas Wächtler, Thomas D. Albright, & Terrence J. Sejnowski. (2002). Morton-Style Factorial Coding of Color in Primary Visual Cortex. Neural Information Processing Systems. 15. 221–228. 4 indexed citations
17.
Lee, Te-Won, Thomas Wächtler, & Terrence J. Sejnowski. (2002). Color opponency is an efficient representation of spectral properties in natural scenes. Vision Research. 42(17). 2095–2103. 68 indexed citations
18.
Lee, Te-Won, Thomas Wächtler, & Terrence J. Sejnowski. (2000). Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes. FreiDok plus (Universitätsbibliothek Freiburg). 13. 866–872. 2 indexed citations
19.
Wächtler, Thomas, et al.. (1996). A simple model of human foveal ganglion cell responses to hyperacuity stimuli. Journal of Computational Neuroscience. 3(1). 73–82. 12 indexed citations
20.
Kremers, Jan, et al.. (1994). Detection and discrimination of chromatic edge displacements. Investigative Ophthalmology & Visual Science. 35(4). 2007–2007. 2 indexed citations

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.

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