Robert Gütig
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- General Decision Sciences top 5%
Papers in
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- Neural dynamics and brain function 9
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- Neuroscience and Neural Engineering 2
- Neuroscience and Neuropharmacology Research 1
- Photoreceptor and optogenetics research 1
- Neurobiology and Insect Physiology Research 1
- Co-authors
- Haim Sompolinsky (5 shared papers)Stefan Rotter (3 shared papers)Tilmann Betsch (1 shared paper)Henning Plessner (1 shared paper)Christiane Schwieren (1 shared paper)Ad Aertsen (2 shared papers)Claudia Eberlein (1 shared paper)Tim Gollisch (1 shared paper)
- Journals
- Nature Neuroscience (1 paper)Journal of Neuroscience (1 paper)Personality and Social Psychology Bulletin (1 paper)PLoS Biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanyIsraelUnited States
In The Last Decade
Robert Gütig
10 papers receiving 1.3k citations
Robert Gütig's Hit Papers
Peers
Comparison fields: 5 of 85
- Cognitive Neuroscience 993
- General Decision Sciences 54
- Cellular and Molecular Neuroscience 494
- Electrical and Electronic Engineering 834
- Developmental Biology 25
Countries citing papers authored by Robert Gütig
This map shows the geographic impact of Robert Gütig'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 Robert Gütig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Gütig more than expected).
Fields of papers citing papers by Robert Gütig
This network shows the impact of papers produced by Robert Gütig. 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 Robert Gütig. The network helps show where Robert Gütig may publish in the future.
Co-authors
The 12 scholars most cited alongside Robert Gütig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The tempotron: a neuron that learns spike timing–based decisions Hit paper breakdown → | 2006 | 570 |
| 2 | 2003 | 283 | |
| 3 | 2001 | 123 | |
| 4 | 2016 | 82 | |
| 5 | 2014 | 62 | |
| 6 | 2009 | 59 | |
| 7 | 2002 | 31 | |
| 8 | 2013 | 30 | |
| 9 | 1998 | 21 | |
| 10 | 2003 | 20 | |
| 11 | 2025 | 0 |
About Robert Gütig
Robert Gütig is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence and Molecular Biology, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (5 papers), Neuroscience and Neural Engineering (2 papers), Neural Networks and Applications (2 papers), Thermal Radiation and Cooling Technologies (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Photoreceptor and optogenetics research (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (993 citations), General Decision Sciences (54 citations), Cellular and Molecular Neuroscience (494 citations), Electrical and Electronic Engineering (834 citations) and Developmental Biology (25 citations). Robert Gütig has collaborated with scholars based in Germany, Israel and United States. Frequent co-authors include Haim Sompolinsky, Stefan Rotter, Tilmann Betsch, Henning Plessner, Christiane Schwieren, Ad Aertsen, Claudia Eberlein, Tim Gollisch, Markus Meister and Qiang Yu. Their work appears in journals such as Nature Neuroscience, Journal of Neuroscience, Personality and Social Psychology Bulletin, PLoS Biology and PLoS ONE.
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.