Tilman Kispersky

11 papers receiving 363 citations

Peers

Tilman Kispersky
Comparison fields: 5 of 60
  • Cognitive Neuroscience 279
  • Cellular and Molecular Neuroscience 265
  • Electrical and Electronic Engineering 47
  • Statistical and Nonlinear Physics 45
  • Molecular Biology 39
Replace Stéphane Deny with:
Stéphane Deny France
Alex H. Williams United States
David C. Sterratt United Kingdom
Kristen A. Richardson United States
Jonathan S. Caplan United States
Elizabeth García‐Pérez Spain
Pablo Achard Belgium
Chris C. Rodgers United States
Hideyuki Câteau Japan
J.F. Fohlmeister United States
Tilman Kispersky relative to Stéphane Deny France Stéphane Deny's profile →
Citations per field
00.5×3.8×
Stéphane Deny · 1×
Citations per year

Countries citing papers authored by Tilman Kispersky

Since Specialization
Citations

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

Fields of papers citing papers by Tilman Kispersky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tilman Kispersky

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 24
2 50
3 57
4 31
5 37
6 29
7 11
8 18
9 3
10 96
11 10

About Tilman Kispersky

Tilman Kispersky is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 11 papers that have together received 366 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Neurobiology and Insect Physiology Research (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (265 citations), Cognitive Neuroscience (279 citations) and Statistical and Nonlinear Physics (45 citations). Tilman Kispersky has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Eve Marder, John A. White, Gabrielle J. Gutierrez, Marie L. Goeritz, Michael N. Economo, Anita K. Roopun, Nancy Kopell, Miles A. Whittington, Steven J. Middleton and Mark O. Cunningham. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026