Jan Wessnitzer

931 total citations
13 papers, 382 citations indexed

About

Jan Wessnitzer is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Jan Wessnitzer has authored 13 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 8 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Genetics. Recurrent topics in Jan Wessnitzer's work include Neurobiology and Insect Physiology Research (12 papers), Animal Behavior and Reproduction (6 papers) and Insect and Arachnid Ecology and Behavior (5 papers). Jan Wessnitzer is often cited by papers focused on Neurobiology and Insect Physiology Research (12 papers), Animal Behavior and Reproduction (6 papers) and Insect and Arachnid Ecology and Behavior (5 papers). Jan Wessnitzer collaborates with scholars based in United Kingdom, Germany and United States. Jan Wessnitzer's 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 and has published in prestigious journals such as PLoS ONE, Proceedings of the Royal Society B Biological Sciences and Biological Cybernetics.

In The Last Decade

Jan Wessnitzer

13 papers receiving 376 citations

Peers

Jan Wessnitzer

CMN

GENET

EEBS

CN

IS

Anmo J. Kim South Korea

Dawnis M. Chow United States

Joshua P. Martin United States

Mehrab N Modi United States

Anna Honkanen Finland

Martin F. Strube‐Bloss Germany

Anna Stöckl Sweden

Avinash Khandelwal United States

Markus Mronz Germany

Benjamin R. Kallman United States

Anmo J. Kim South Korea

Jan Wessnitzer

316 ×1.2

CMN

125 ×0.9

GENET

144 ×1.1

EEBS

111 ×1.5

CN

51 ×0.7

IS

Citations per year, relative to Jan Wessnitzer Jan Wessnitzer (= 1×) peers Anmo J. Kim

Countries citing papers authored by Jan Wessnitzer

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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13 of 13 papers shown

1.

Colomb, Julien, et al.. (2012). Open Source Tracking and Analysis of Adult Drosophila Locomotion in Buridan's Paradigm with and without Visual Targets. PLoS ONE. 7(8). e42247–e42247. 62 indexed citations

2.

Colomb, Julien, et al.. (2012). Correction: Open Source Tracking and Analysis of Adult Drosophila Locomotion in Buridan's Paradigm with and without Visual Targets. PLoS ONE. 7(11). 16 indexed citations

3.

Wessnitzer, Jan, et al.. (2011). A model of non-elemental olfactory learning in Drosophila. Journal of Computational Neuroscience. 32(2). 197–212. 37 indexed citations

4.

Russell, Cheryl, et al.. (2011). Dietary Salt Levels Affect Salt Preference and Learning in Larval Drosophila. PLoS ONE. 6(6). e20100–e20100. 19 indexed citations

5.

Wessnitzer, Jan, et al.. (2011). Elemental and non-elemental olfactory learning in Drosophila. Neurobiology of Learning and Memory. 96(2). 339–352. 23 indexed citations

6.

Smith, Darren A., Jan Wessnitzer, & Barbara Webb. (2008). A model of associative learning in the mushroom body. Biological Cybernetics. 99(2). 89–103. 27 indexed citations

7.

Wessnitzer, Jan, Michael Mangan, & Barbara Webb. (2008). Place memory in crickets. Proceedings of the Royal Society B Biological Sciences. 275(1637). 915–921. 40 indexed citations

8.

Wessnitzer, Jan, et al.. (2008). Path Integration Using a Model of e-Vector Orientation Coding in the Insect Brain: Reply to Vickerstaff and Di Paolo. Adaptive Behavior. 16(4). 277–280. 1 indexed citations

9.

Wessnitzer, Jan & Barbara Webb. (2007). A neural model of cross-modal association in insects. Edinburgh Research Explorer (University of Edinburgh). 415–420. 2 indexed citations

10.

Wessnitzer, Jan, et al.. (2007). Evolving a Neural Model of Insect Path Integration. Adaptive Behavior. 15(3). 273–287. 38 indexed citations

11.

Wessnitzer, Jan & Barbara Webb. (2007). ESANN'2007 proceedings - European Symposium on Artificial Neural Networks. 11 indexed citations

12.

Wessnitzer, Jan & Barbara Webb. (2006). Multimodal sensory integration in insects—towards insect brain control architectures. Bioinspiration & Biomimetics. 1(3). 63–75. 90 indexed citations

13.

Webb, Barbara, Jan Wessnitzer, Sarah L. Bush, et al.. (2006). Resonant neurons and bushcricket behaviour. Journal of Comparative Physiology A. 193(2). 285–288. 16 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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