Moritz Helias

2.4k total citations
74 papers, 1.3k citations indexed

About

Moritz Helias is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Moritz Helias has authored 74 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Cognitive Neuroscience, 40 papers in Statistical and Nonlinear Physics and 26 papers in Cellular and Molecular Neuroscience. Recurrent topics in Moritz Helias's work include Neural dynamics and brain function (65 papers), stochastic dynamics and bifurcation (36 papers) and Advanced Memory and Neural Computing (20 papers). Moritz Helias is often cited by papers focused on Neural dynamics and brain function (65 papers), stochastic dynamics and bifurcation (36 papers) and Advanced Memory and Neural Computing (20 papers). Moritz Helias collaborates with scholars based in Germany, Japan and Norway. Moritz Helias's co-authors include Markus Diesmann, Tom Tetzlaff, David Dahmen, Gaute T. Einevoll, Stefan Rotter, Susanne Kunkel, Sonja Grün, Moritz Deger, Abigail Morrison and Jun Igarashi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and NeuroImage.

In The Last Decade

Moritz Helias

70 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Moritz Helias Germany 22 1.1k 500 451 341 185 74 1.3k
Srdjan Ostojic France 21 1.4k 1.3× 562 1.1× 372 0.8× 455 1.3× 293 1.6× 48 1.7k
Kanaka Rajan United States 14 1.2k 1.1× 515 1.0× 325 0.7× 246 0.7× 354 1.9× 28 1.6k
Thomas Nowotny United Kingdom 25 942 0.9× 1.0k 2.0× 578 1.3× 219 0.6× 216 1.2× 104 1.9k
Martin Stemmler Germany 22 1.4k 1.3× 868 1.7× 271 0.6× 425 1.2× 178 1.0× 41 2.0k
Alfonso Renart Spain 15 1.6k 1.5× 796 1.6× 349 0.8× 382 1.1× 174 0.9× 25 1.8k
Michael A. Buice United States 16 763 0.7× 397 0.8× 126 0.3× 261 0.8× 109 0.6× 25 989
A. N. Burkitt Australia 5 767 0.7× 399 0.8× 519 1.2× 386 1.1× 167 0.9× 7 1.1k
Hans Ekkehard Pleßer Norway 15 721 0.7× 277 0.6× 362 0.8× 228 0.7× 170 0.9× 38 1.1k
Jaime de la Rocha Spain 14 1.9k 1.8× 1.1k 2.2× 333 0.7× 527 1.5× 132 0.7× 24 2.0k
Duane Q. Nykamp United States 13 876 0.8× 386 0.8× 153 0.3× 365 1.1× 82 0.4× 33 1.0k

Countries citing papers authored by Moritz Helias

Since Specialization
Citations

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

Fields of papers citing papers by Moritz Helias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moritz Helias

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

All Works

20 of 20 papers shown
1.
Helias, Moritz, et al.. (2024). Effect of Synaptic Heterogeneity on Neuronal Coordination. 2(1). 4 indexed citations
2.
Nestler, Sandra, et al.. (2023). Learning Interacting Theories from Data. Physical Review X. 13(4). 4 indexed citations
3.
Luu, Thomas, et al.. (2022). Gell-Mann–Low Criticality in Neural Networks. Physical Review Letters. 128(16). 168301–168301. 15 indexed citations
4.
Dahmen, David, et al.. (2021). Transient Chaotic Dimensionality Expansion by Recurrent Networks. Physical Review X. 11(2). 18 indexed citations
5.
Dahmen, David, Nicole Voges, Michael von Papen, et al.. (2021). Global organization of neuronal activity only requires unstructured local connectivity. eLife. 11. 15 indexed citations
6.
Weßel, Stefan, et al.. (2021). Global hierarchy vs. local structure: spurious self-feedback in scale-free networks - Solving selfconsistency Equations. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
7.
Senk, Johanna, Jannis Schuecker, Espen Hagen, et al.. (2020). Conditions for wave trains in spiking neural networks. Physical Review Research. 2(2). 16 indexed citations
8.
Gilson, Matthieu, et al.. (2020). The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks. PLoS Computational Biology. 16(10). e1008127–e1008127. 7 indexed citations
9.
Dahmen, David, Sonja Grün, Markus Diesmann, & Moritz Helias. (2019). Second type of criticality in the brain uncovers rich multiple-neuron dynamics. Proceedings of the National Academy of Sciences. 116(26). 13051–13060. 72 indexed citations
10.
Jordan, Jakob, Moritz Helias, Mitsuhisa Sato, et al.. (2018). Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers. Frontiers in Neuroinformatics. 12. 2–2. 66 indexed citations
11.
Helias, Moritz, et al.. (2017). Locking of correlated neural activity to ongoing oscillations. PLoS Computational Biology. 13(6). e1005534–e1005534. 4 indexed citations
12.
Diesmann, Markus, et al.. (2016). Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit. PLoS Computational Biology. 12(10). e1005132–e1005132. 26 indexed citations
13.
Schuecker, Jannis, Markus Diesmann, & Moritz Helias. (2015). Modulated escape from a metastable state driven by colored noise. Physical Review E. 92(5). 52119–52119. 26 indexed citations
14.
Kunkel, Susanne, Maximilian Schmidt, Jochen Martin Eppler, et al.. (2014). Spiking network simulation code for petascale computers. Frontiers in Neuroinformatics. 8. 78–78. 64 indexed citations
15.
Helias, Moritz, Tom Tetzlaff, & Markus Diesmann. (2013). Echoes in correlated neural systems. New Journal of Physics. 15(2). 23002–23002. 35 indexed citations
16.
Tetzlaff, Tom, et al.. (2013). A unified view on weakly correlated recurrent networks. Frontiers in Computational Neuroscience. 7. 131–131. 46 indexed citations
17.
Tetzlaff, Tom, Moritz Helias, Gaute T. Einevoll, & Markus Diesmann. (2012). Decorrelation of Neural-Network Activity by Inhibitory Feedback. PLoS Computational Biology. 8(8). e1002596–e1002596. 123 indexed citations
18.
Helias, Moritz, Moritz Deger, Stefan Rotter, & Markus Diesmann. (2011). Finite Post Synaptic Potentials Cause a Fast Neuronal Response. Frontiers in Neuroscience. 5. 19–19. 7 indexed citations
19.
Deger, Moritz, Moritz Helias, Clémens Boucsein, & Stefan Rotter. (2011). Statistical properties of superimposed stationary spike trains. Journal of Computational Neuroscience. 32(3). 443–463. 16 indexed citations
20.
Hanuschkin, Alexander, Susanne Kunkel, Moritz Helias, Abigail Morrison, & Markus Diesmann. (2010). A General and Efficient Method for Incorporating Precise Spike Times in Globally Time-Driven Simulations. Frontiers in Neuroinformatics. 4. 113–113. 43 indexed citations

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

Breakdown of academic impact, for papers by Srdjan Ostojic Breakdown of academic impact, for papers by Kanaka Rajan Breakdown of academic impact, for papers by Thomas Nowotny Breakdown of academic impact, for papers by Martin Stemmler Breakdown of academic impact, for papers by Alfonso Renart Breakdown of academic impact, for papers by Michael A. Buice Breakdown of academic impact, for papers by A. N. Burkitt Breakdown of academic impact, for papers by Hans Ekkehard Pleßer Breakdown of academic impact, for papers by Jaime de la Rocha Breakdown of academic impact, for papers by Duane Q. Nykamp
Rankless by CCL
2026