Markus Diesmann

12.3k total citations · 2 hit papers
143 papers, 6.3k citations indexed

About

Markus Diesmann is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Markus Diesmann has authored 143 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Cognitive Neuroscience, 64 papers in Cellular and Molecular Neuroscience and 58 papers in Electrical and Electronic Engineering. Recurrent topics in Markus Diesmann's work include Neural dynamics and brain function (129 papers), Advanced Memory and Neural Computing (57 papers) and Neuroscience and Neural Engineering (40 papers). Markus Diesmann is often cited by papers focused on Neural dynamics and brain function (129 papers), Advanced Memory and Neural Computing (57 papers) and Neuroscience and Neural Engineering (40 papers). Markus Diesmann collaborates with scholars based in Germany, Japan and Norway. Markus Diesmann's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Markus Diesmann

135 papers receiving 6.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Stable propagation of synchronous spiking in cortical neural networks

1999 696 citations Markus Diesmann, Marc-Oliver Gewaltig et al. profile →
NEST (NEural Simulation Tool)

2007 637 citations Marc-Oliver Gewaltig, Markus Diesmann profile →

Peers

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-authorship network of co-authors of Markus Diesmann

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Building on models—a perspective for computational neuroscience 2025 ·Cerebral Cortex ·Hans Ekkehard Pleßer, Andrew P. Davison, Markus Diesmann, Tomoki Fukai, Tobias Gemmeke, Padraig Gleeson, James C. Knight, Thomas Nowotny, (unknown), Oliver Rhodes, Antônio C. Roque, Johanna Senk, Tilo Schwalger, (unknown), (unknown), Sacha J. van Albada	1
2	Reconciliation of weak pairwise spike–train correlations and highly coherent local field potentials across space 2024 ·Cerebral Cortex ·Johanna Senk, Espen Hagen, Sacha J. van Albada, Markus Diesmann	1
3	Sub-realtime simulation of a neuronal network of natural density 2022 ·Neuromorphic Computing and Engineering ·(unknown), Johanna Senk, D. Terhorst, (unknown), Markus Diesmann	12
4	Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers 2022 ·Parallel Computing ·(unknown), Jakob Jordan, Brian J. N. Wylie, (unknown), Markus Diesmann, Susanne Kunkel	12
5	Connectivity concepts in neuronal network modeling 2022 ·PLoS Computational Biology ·Johanna Senk, Birgit Kriener, Mikael Djurfeldt, Nicole Voges, (unknown), (unknown), Gabriele Gramelsberger, Markus Diesmann, Hans Ekkehard Pleßer, Sacha J. van Albada	20
6	Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring 2022 ·Frontiers in Neuroinformatics ·(unknown), Jakob Jordan, Brian J. N. Wylie, (unknown), Markus Diesmann, Susanne Kunkel	9
7	Global organization of neuronal activity only requires unstructured local connectivity 2021 ·eLife ·David Dahmen, (unknown), (unknown), (unknown), Nicole Voges, Michael von Papen, Thomas Brochier, Alexa Riehle, Markus Diesmann, Sonja Grün, Moritz Helias	15
8	Conditions for wave trains in spiking neural networks 2020 ·Physical Review Research ·Johanna Senk, (unknown), Jannis Schuecker, Espen Hagen, Tom Tetzlaff, Markus Diesmann, Moritz Helias	16
9	Second type of criticality in the brain uncovers rich multiple-neuron dynamics 2019 ·Proceedings of the National Academy of Sciences ·David Dahmen, Sonja Grün, Markus Diesmann, Moritz Helias	72
10	Reconstructing neuronal circuitry from parallel spike trains 2019 ·Nature Communications ·Ryota Kobayashi, Shuhei Kurita, (unknown), Katsunori Kitano, Kenji Mizuseki, Markus Diesmann, Barry J. Richmond, Shigeru Shinomoto	96
11	High-Performance Computing in Neuroscience for Data-Driven Discovery, Integration, and Dissemination 2016 ·Neuron ·Kristofer E. Bouchard, James B. Aimone, Miyoung Chun, Thomas Dean, Michael Denker, Markus Diesmann, (unknown), Loren M. Frank, Narayanan Kasthuri, (unknown), (unknown), Horst D. Simon, Friedrich T. Sommer, Prabhat	22
12	Spiking network simulation code for petascale computers 2014 ·Frontiers in Neuroinformatics ·Susanne Kunkel, Maximilian Schmidt, Jochen Martin Eppler, Hans Ekkehard Pleßer, (unknown), Jun Igarashi, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann, Moritz Helias	64
13	Echoes in correlated neural systems 2013 ·New Journal of Physics ·Moritz Helias, Tom Tetzlaff, Markus Diesmann	35
14	Space-based and Feature-based Attention in a Realistic Layered-microcircuit Model of Visual Cortex 2012 ·Journal of Vision ·Nobuhiko Wagatsuma, Tobias C. Potjans, Markus Diesmann, Kô Sakai, Tomoki Fukai	1
15	Decorrelation of Neural-Network Activity by Inhibitory Feedback 2012 ·PLoS Computational Biology ·Tom Tetzlaff, Moritz Helias, Gaute T. Einevoll, Markus Diesmann	123
16	The Local Field Potential Reflects Surplus Spike Synchrony 2011 ·Cerebral Cortex ·Michael Denker, Sébastien Roux, Henrik Lindén, Markus Diesmann, Alexa Riehle, Sonja Grün	92
17	A General and Efficient Method for Incorporating Precise Spike Times in Globally Time-Driven Simulations 2010 ·Frontiers in Neuroinformatics ·Alexander Hanuschkin, Susanne Kunkel, Moritz Helias, Abigail Morrison, Markus Diesmann	43
18	Estimating the contribution of assembly activity to cortical dynamics from spike and population measures 2010 ·Journal of Computational Neuroscience ·Michael Denker, Alexa Riehle, Markus Diesmann, Sonja Grün	9
19	Propagation of cortical synfire activity: survival probability in single trials and stability in the mean 2001 ·Neural Networks ·Marc-Oliver Gewaltig, Markus Diesmann, Ad Aertsen	70
20	SYNOD: An Environment for Neural Systems Simulations Language Interface and Tutorial 1995 ·Markus Diesmann, Marc-Oliver Gewaltig, (unknown)	5

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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