Ingmar Kanitscheider

2.0k total citations
10 papers, 768 citations indexed

About

Ingmar Kanitscheider is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ingmar Kanitscheider has authored 10 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Artificial Intelligence and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ingmar Kanitscheider's work include Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (4 papers) and Neural Networks and Applications (3 papers). Ingmar Kanitscheider is often cited by papers focused on Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (4 papers) and Neural Networks and Applications (3 papers). Ingmar Kanitscheider collaborates with scholars based in United States, Switzerland and United Kingdom. Ingmar Kanitscheider's co-authors include Alexandre Pouget, Ruben Coen-Cagli, Adam Kohn, Peter E. Latham, Jeffrey M. Beck, Xaq Pitkow, Rubén Moreno‐Bote, Ila Fiete, Matthias Stangl and Martin Riemer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Neuroscience.

In The Last Decade

Ingmar Kanitscheider

10 papers receiving 767 citations

Peers

Ingmar Kanitscheider

CN

CMN

AI

EEE

SNP

Rishidev Chaudhuri United States

Miriam L. R. Meister United States

Timo van Kerkoerle France

Tatiana A. Engel United States

Muhammad Habib United States

Michel Besserve Germany

W. Schneider Germany

Liam Paninski United States

Xue-Xin Wei United States

Ruben Coen-Cagli United States

Rishidev Chaudhuri United States

Ingmar Kanitscheider

955 ×1.4

CN

278 ×0.9

CMN

129 ×1.3

AI

90 ×1.3

EEE

73 ×1.1

SNP

Citations per year, relative to Ingmar Kanitscheider Ingmar Kanitscheider (= 1×) peers Rishidev Chaudhuri

Countries citing papers authored by Ingmar Kanitscheider

Since Specialization

Citations

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

Fields of papers citing papers by Ingmar Kanitscheider

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingmar Kanitscheider

This figure shows the co-authorship network connecting the top 25 collaborators of Ingmar Kanitscheider. A scholar is included among the top collaborators of Ingmar Kanitscheider 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 Ingmar Kanitscheider. Ingmar Kanitscheider is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Voigts, Jakob, Ingmar Kanitscheider, Nicholas J. Miller, et al.. (2025). Spatial reasoning via recurrent neural dynamics in mouse retrosplenial cortex. Nature Neuroscience. 28(6). 1293–1299. 1 indexed citations

2.

Baker, Bowen, Ingmar Kanitscheider, Todor Markov, et al.. (2020). Emergent Tool Use From Multi-Agent Autocurricula. arXiv (Cornell University). 20 indexed citations

3.

Stangl, Matthias, Ingmar Kanitscheider, Martin Riemer, Ila Fiete, & Thomas Wolbers. (2020). Sources of path integration error in young and aging humans. Nature Communications. 11(1). 2626–2626. 42 indexed citations

4.

Roth, Christopher G., Ingmar Kanitscheider, & Ila Fiete. (2018). Kernel RNN Learning (KeRNL). International Conference on Learning Representations. 5 indexed citations

5.

Kanitscheider, Ingmar & Ila Fiete. (2017). Making our way through the world: Towards a functional understanding of the brain's spatial circuits. Current Opinion in Systems Biology. 3. 186–194. 4 indexed citations

6.

Kohn, Adam, Ruben Coen-Cagli, Ingmar Kanitscheider, & Alexandre Pouget. (2016). Correlations and Neuronal Population Information. Annual Review of Neuroscience. 39(1). 237–256. 216 indexed citations

7.

Kanitscheider, Ingmar, Ruben Coen-Cagli, Adam Kohn, & Alexandre Pouget. (2015). Measuring Fisher Information Accurately in Correlated Neural Populations. PLoS Computational Biology. 11(6). e1004218–e1004218. 39 indexed citations

8.

Kanitscheider, Ingmar, Ruben Coen-Cagli, & Alexandre Pouget. (2015). Origin of information-limiting noise correlations. Proceedings of the National Academy of Sciences. 112(50). E6973–82. 90 indexed citations

9.

Kanitscheider, Ingmar, Amanda M Brown, Alexandre Pouget, & Anne K. Churchland. (2015). Multisensory decisions provide support for probabilistic number representations. Journal of Neurophysiology. 113(10). 3490–3498. 5 indexed citations

10.

Moreno‐Bote, Rubén, Jeffrey M. Beck, Ingmar Kanitscheider, et al.. (2014). Information-limiting correlations. Nature Neuroscience. 17(10). 1410–1417. 346 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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