Markus Diesmann

12.9k citations
189 papers · 8.9k · 2 hit papers · h-index 45

Impact in

    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces
    • Neuroscience and Neural Engineering
    • Neuroscience and Neuropharmacology Research
    • Photoreceptor and optogenetics research

Papers in

Markus Diesmann

181 papers receiving 8.6k citations

Markus Diesmann's Hit Papers

NEST (NEural Simulation Tool) 2007 · 750 citations
7500+9+18Years since publication250500750

Peers

Markus Diesmann
Comparison fields: 5 of 168
  • Cognitive Neuroscience 7.3k
  • Cellular and Molecular Neuroscience 3.9k
  • Statistical and Nonlinear Physics 1.4k
  • Electrical and Electronic Engineering 3.5k
  • Biophysics 226
Replace Kenneth D. Miller with:
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Citations per field
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Citations per year

Countries citing papers authored by Markus Diesmann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 189 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 →
1999763
2
NEST (NEural Simulation Tool)
Hit paper breakdown →
2007750
3 1997740
4 2007597
5 2008429
6 2011316
7 2012288
8 2007272
9 2002164
10 2005150
11 2012139
12 1999128
13 2003126
14 2002126
15 2012119
16 2018114
17 2002112
18 2019101
19 1996101
20 201196

About Markus Diesmann

Markus Diesmann is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Artificial Intelligence, having authored 189 papers that have together received 8.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (164 papers), Advanced Memory and Neural Computing (80 papers), Functional Brain Connectivity Studies (51 papers), Neuroscience and Neural Engineering (47 papers), stochastic dynamics and bifurcation (44 papers), Neural Networks and Applications (20 papers), Photoreceptor and optogenetics research (16 papers) and EEG and Brain-Computer Interfaces (13 papers). The work is most often cited by research in Cognitive Neuroscience (7.3k citations), Cellular and Molecular Neuroscience (3.9k citations), Statistical and Nonlinear Physics (1.4k citations), Electrical and Electronic Engineering (3.5k citations) and Biophysics (226 citations). Markus Diesmann has collaborated with scholars based in Germany, Japan and Norway. Frequent co-authors include Ad Aertsen, Marc-Oliver Gewaltig, Sonja Grün, Abigail Morrison, Alexa Riehle, Moritz Helias, Tobias C. Potjans, Tom Tetzlaff, Wulfram Gerstner and Stefan Rotter. Their work appears in journals such as BMC Neuroscience, Frontiers in Neuroinformatics, PLoS Computational Biology, Neural Computation and Frontiers in Neuroscience.

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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