Michael Deistler

432 citations
6 papers · 136 · h-index 3

Impact in

Papers in

Michael Deistler

4 papers receiving 135 citations

Peers

Michael Deistler
Comparison fields: 5 of 59
  • Cognitive Neuroscience 86
  • Cellular and Molecular Neuroscience 37
  • Biophysics 11
  • General Decision Sciences 3
  • Statistical and Nonlinear Physics 18
Replace Kaan Öcal with:
Kaan Öcal United Kingdom
Chaitanya Chintaluri Poland
Evan Archer United States
Rodrigo Echeveste Argentina
M. Drew LaMar United States
Lea Duncker United States
Manuel Beirán United States
Biraj Pandey United States
Ari S. Benjamin United States
Mijung Park United States
Michael Deistler relative to Kaan Öcal United Kingdom Kaan Öcal's profile →
Citations per field
00.5×1.5×
Kaan Öcal · 1×
Citations per year

Countries citing papers authored by Michael Deistler

Since Specialization
Citations

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

Fields of papers citing papers by Michael Deistler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Deistler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Deistler Line = papers co-authored together Michael Deistler links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2020116
2 202217
3 20192
4 20251
5 20250
6 20250

About Michael Deistler

Michael Deistler is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Neurology and Statistical and Nonlinear Physics, having authored 6 papers that have together received 136 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Neurobiology and Insect Physiology Research (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Advanced MRI Techniques and Applications (1 paper), Bone and Joint Diseases (1 paper), Physiological and biochemical adaptations (1 paper), Botulinum Toxin and Related Neurological Disorders (1 paper) and Hallucinations in medical conditions (1 paper). The work is most often cited by research in Cognitive Neuroscience (86 citations), Cellular and Molecular Neuroscience (37 citations), Biophysics (11 citations), General Decision Sciences (3 citations) and Statistical and Nonlinear Physics (18 citations). Michael Deistler has collaborated with scholars based in Germany, Belgium and United Kingdom. Frequent co-authors include Pedro J. Gonçalves, Jakob H. Macke, Giacomo Bassetto, Chaitanya Chintaluri, Tim P. Vogels, David S. Greenberg, Kaan Öcal, Sara Ann Haddad, Marcel Nonnenmacher and Jan-Matthis Lueckmann. Their work appears in journals such as Nature Methods, Medical Image Analysis, eLife, Proceedings of the National Academy of Sciences and Patterns.

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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