Jan Drugowitsch
- Cognitive Neuroscience top 1%
- General Decision Sciences top 1%
- Cellular and Molecular Neuroscience top 10%
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Alexandre PougetRubén Moreno‐BoteÁdám KepecsMichael N. ShadlenAnne K. ChurchlandSatohiro TajimaÉtienne KoechlinDora E. Angelaki
- Topics
- Neural dynamics and brain function (29 papers)Neural and Behavioral Psychology Studies (13 papers)Visual perception and processing mechanisms (12 papers)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Jan Drugowitsch
53 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Cognitive Neuroscience 1.4k
- General Decision Sciences 336
- Cellular and Molecular Neuroscience 234
- Artificial Intelligence 229
- Experimental and Cognitive Psychology 218
Countries citing papers authored by Jan Drugowitsch
This map shows the geographic impact of Jan Drugowitsch'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 Jan Drugowitsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Drugowitsch more than expected).
Fields of papers citing papers by Jan Drugowitsch
This network shows the impact of papers produced by Jan Drugowitsch. 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 Jan Drugowitsch. The network helps show where Jan Drugowitsch may publish in the future.
Co-authorship network of co-authors of Jan Drugowitsch
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Drugowitsch. A scholar is included among the top collaborators of Jan Drugowitsch 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 Jan Drugowitsch. Jan Drugowitsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 7 | |
| 6 | 19 | |
| 7 | 14 | |
| 8 | 32 | |
| 9 | 89 | |
| 10 | 15 | |
| 11 | 40 | |
| 12 | 23 | |
| 13 | 38 | |
| 14 | 39 | |
| 15 | 28 | |
| 16 | 8 | |
| 17 | 108 | |
| 18 | Optimal decision-making with time-varying evidence reliability | 8 |
| 19 | 341 | |
| 20 | Design and Analysis of Learning Classifier Systems: A Probabilistic Approach (Studies in Computational Intelligence) | 18 |
About Jan Drugowitsch
Jan Drugowitsch is a scholar working on General Decision Sciences, Cognitive Neuroscience and Sensory Systems, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (29 papers), Neural and Behavioral Psychology Studies (13 papers) and Visual perception and processing mechanisms (12 papers). The work is most often cited by research in General Decision Sciences (336 citations), Cognitive Neuroscience (1.4k citations) and Sensory Systems (117 citations). Jan Drugowitsch has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Alexandre Pouget, Rubén Moreno‐Bote, Ádám Kepecs, Michael N. Shadlen, Anne K. Churchland, Satohiro Tajima, Étienne Koechlin, Dora E. Angelaki, Valentin Wyart and Gregory C. DeAngelis. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.