Jan Wessnitzer
- Cellular and Molecular Neuroscience top 10%
- Genetics
- Ecology, Evolution, Behavior and Systematics top 10%
- Cognitive Neuroscience
- Insect Science top 10%
- Co-authors
- Barbara WebbMichael ManganJ. Douglas ArmstrongBjörn BrembsJulien ColombLutz ReiterDarren A. SmithCheryl Russell
- Topics
- Neurobiology and Insect Physiology Research (12 papers)Animal Behavior and Reproduction (6 papers)Insect and Arachnid Ecology and Behavior (5 papers)
- Cited by
- Cellular and Molecular NeuroscienceEcology, Evolution, Behavior and SystematicsInsect Science
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Jan Wessnitzer
13 papers receiving 376 citations
Peers
Comparison fields: 5 of 61
- Cellular and Molecular Neuroscience 262
- Genetics 146
- Ecology, Evolution, Behavior and Systematics 137
- Cognitive Neuroscience 76
- Insect Science 74
Countries citing papers authored by Jan Wessnitzer
This map shows the geographic impact of Jan Wessnitzer'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 Wessnitzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Wessnitzer more than expected).
Fields of papers citing papers by Jan Wessnitzer
This network shows the impact of papers produced by Jan Wessnitzer. 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 Wessnitzer. The network helps show where Jan Wessnitzer may publish in the future.
Co-authorship network of co-authors of Jan Wessnitzer
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Wessnitzer. A scholar is included among the top collaborators of Jan Wessnitzer 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 Wessnitzer. Jan Wessnitzer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 62 | |
| 2 | 16 | |
| 3 | 37 | |
| 4 | 19 | |
| 5 | 23 | |
| 6 | 27 | |
| 7 | 40 | |
| 8 | 1 | |
| 9 | A neural model of cross-modal association in insects | 2 |
| 10 | 38 | |
| 11 | ESANN'2007 proceedings - European Symposium on Artificial Neural Networks | 11 |
| 12 | 90 | |
| 13 | 16 |
About Jan Wessnitzer
Jan Wessnitzer is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Sensory Systems, having authored 13 papers that have together received 382 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (12 papers), Animal Behavior and Reproduction (6 papers) and Insect and Arachnid Ecology and Behavior (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (262 citations), Ecology, Evolution, Behavior and Systematics (137 citations) and Insect Science (74 citations). Jan Wessnitzer has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Barbara Webb, Michael Mangan, J. Douglas Armstrong, Björn Brembs, Julien Colomb, Lutz Reiter, Darren A. Smith, Cheryl Russell, Jonas Buchli and Johannes Schul. Their work appears in journals such as PLoS ONE, Proceedings of the Royal Society B Biological Sciences and Biological Cybernetics.
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.