Markus Diesmann
Impact in
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
Papers in
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- Neural dynamics and brain function 148
- Functional Brain Connectivity Studies 41
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- Advanced Memory and Neural Computing 69
- Co-authors
- Marc-Oliver Gewaltig (17 shared papers)Ad Aertsen (17 shared papers)Abigail Morrison (35 shared papers)Sonja Grün (29 shared papers)Tobias C. Potjans (15 shared papers)Moritz Helias (40 shared papers)Tom Tetzlaff (28 shared papers)Wulfram Gerstner (1 shared paper)
In The Last Decade
Markus Diesmann
156 papers receiving 6.8k citations
Markus Diesmann's Hit Papers
Peers
Comparison fields: 5 of 145
- Cognitive Neuroscience 5.9k
- Cellular and Molecular Neuroscience 3.2k
- Statistical and Nonlinear Physics 1.1k
- Electrical and Electronic Engineering 2.9k
- Biophysics 199
Countries citing papers authored by Markus Diesmann
This map shows the geographic impact of Markus Diesmann'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 Markus Diesmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Diesmann more than expected).
Fields of papers citing papers by Markus Diesmann
This network shows the impact of papers produced by Markus Diesmann. 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 Markus Diesmann. The network helps show where Markus Diesmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Diesmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Stable propagation of synchronous spiking in cortical neural networks Hit paper breakdown → | 1999 | 762 |
| 2 | NEST (NEural Simulation Tool) Hit paper breakdown → | 2007 | 713 |
| 3 | 2008 | 418 | |
| 4 | 2011 | 321 | |
| 5 | 2012 | 270 | |
| 6 | 2007 | 269 | |
| 7 | 2002 | 167 | |
| 8 | 2005 | 148 | |
| 9 | 2012 | 128 | |
| 10 | 2002 | 128 | |
| 11 | 1999 | 127 | |
| 12 | 2003 | 127 | |
| 13 | 2012 | 122 | |
| 14 | 2002 | 112 | |
| 15 | 2018 | 106 | |
| 16 | 1996 | 102 | |
| 17 | 2019 | 99 | |
| 18 | 2011 | 98 | |
| 19 | 2008 | 83 | |
| 20 | 2006 | 81 |
About Markus Diesmann
Markus Diesmann is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 163 papers that have together received 7.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (148 papers), Advanced Memory and Neural Computing (69 papers), Neuroscience and Neural Engineering (43 papers), Functional Brain Connectivity Studies (41 papers), stochastic dynamics and bifurcation (41 papers), Neural Networks and Applications (18 papers), Photoreceptor and optogenetics research (16 papers) and Neuroscience and Neuropharmacology Research (13 papers). The work is most often cited by research in Cognitive Neuroscience (5.9k citations), Cellular and Molecular Neuroscience (3.2k citations), Statistical and Nonlinear Physics (1.1k citations), Electrical and Electronic Engineering (2.9k citations) and Biophysics (199 citations). Markus Diesmann has collaborated with scholars based in Germany, Japan and Norway. Frequent co-authors include Marc-Oliver Gewaltig, Ad Aertsen, Abigail Morrison, Sonja Grün, Tobias C. Potjans, Moritz Helias, Tom Tetzlaff, Wulfram Gerstner, Stefan Rotter and Gaute T. Einevoll. Their work appears in journals such as BMC Neuroscience, Frontiers in Neuroinformatics, PLoS Computational Biology, Neural Computation and Neurocomputing.
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.