Tim Gollisch

4.0k citations
54 papers · 2.5k · h-index 23

Impact in

    • Neural dynamics and brain function
    • Visual perception and processing mechanisms
    • Photoreceptor and optogenetics research
    • Neuroscience and Neural Engineering
    • Neuroscience and Neuropharmacology Research
    • Neurobiology and Insect Physiology Research

Papers in

Tim Gollisch

52 papers receiving 2.5k citations

Peers

Tim Gollisch
Comparison fields: 5 of 119
  • Cognitive Neuroscience 1.6k
  • Cellular and Molecular Neuroscience 1.2k
  • Developmental Biology 59
  • Sensory Systems 99
  • Statistical and Nonlinear Physics 185
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Citations per field
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Citations per year

Countries citing papers authored by Tim Gollisch

Since Specialization
Citations

This map shows the geographic impact of Tim Gollisch'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 Tim Gollisch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Gollisch more than expected).

Fields of papers citing papers by Tim Gollisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Gollisch. 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 Tim Gollisch. The network helps show where Tim Gollisch may publish in the future.

Co-authors

The 25 scholars most cited alongside Tim Gollisch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Gollisch Line = papers co-authored together Tim Gollisch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010489
2 2008479
3 2006312
4 200593
5 201267
6 201665
7 200563
8 201756
9 201253
10 200847
11 200741
12 200441
13 201536
14 201335
15 201734
16 201234
17 200234
18 201233
19 200430
20 201330

About Tim Gollisch

Tim Gollisch is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics and Signal Processing, having authored 54 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (39 papers), Retinal Development and Disorders (30 papers), Photoreceptor and optogenetics research (13 papers), Visual perception and processing mechanisms (13 papers), Neuroscience and Neural Engineering (8 papers), Neurobiology and Insect Physiology Research (7 papers), Neuroscience and Neuropharmacology Research (4 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Cellular and Molecular Neuroscience (1.2k citations), Developmental Biology (59 citations), Sensory Systems (99 citations) and Statistical and Nonlinear Physics (185 citations). Tim Gollisch has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Markus Meister, Andreas V. M. Herz, Christian K. Machens, Dieter Jaeger, Jian K. Liu, Inés Samengo, Helene M. Schreyer, Olga Kolesnikova, Jan Benda and Arno Onken. Their work appears in journals such as Journal of Neuroscience, Neuron, PLoS Computational Biology, Journal of Neurophysiology and Nature Communications.

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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