David Dahmen

523 total citations
20 papers, 251 citations indexed

About

David Dahmen is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, David Dahmen has authored 20 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 8 papers in Artificial Intelligence and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in David Dahmen's work include Neural dynamics and brain function (17 papers), Neural Networks and Applications (5 papers) and Neural Networks and Reservoir Computing (4 papers). David Dahmen is often cited by papers focused on Neural dynamics and brain function (17 papers), Neural Networks and Applications (5 papers) and Neural Networks and Reservoir Computing (4 papers). David Dahmen collaborates with scholars based in Germany, France and Norway. David Dahmen's co-authors include Moritz Helias, Markus Diesmann, Sonja Grün, Espen Hagen, Henrik Lindén, Maria Stavrinou, Gaute T. Einevoll, Sacha J. van Albada, Tom Tetzlaff and Thomas Luu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Cerebral Cortex.

In The Last Decade

David Dahmen

17 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Dahmen Germany	9	205	80	66	52	46	20	251
Merav Stern United States	7	139 0.7×	87 1.1×	85 1.3×	33 0.6×	57 1.2×	10	248
Javier Baladron Germany	11	206 1.0×	80 1.0×	88 1.3×	30 0.6×	31 0.7×	18	350
David Rotermund Germany	11	238 1.2×	107 1.3×	66 1.0×	64 1.2×	62 1.3×	20	304
Wesley Clawson United States	7	235 1.1×	93 1.2×	91 1.4×	35 0.7×	30 0.7×	11	309
Leonardo Dalla Porta Spain	7	245 1.2×	86 1.1×	103 1.6×	30 0.6×	23 0.5×	14	281
Ariel Haimovici Argentina	5	315 1.5×	43 0.5×	82 1.2×	17 0.3×	19 0.4×	5	373
Guido Gigante Italy	8	228 1.1×	91 1.1×	68 1.0×	66 1.3×	43 0.9×	15	283
Nathaniel C. Wright United States	8	283 1.4×	145 1.8×	94 1.4×	41 0.8×	32 0.7×	17	326
Sara Teller Spain	6	226 1.1×	189 2.4×	58 0.9×	67 1.3×	23 0.5×	10	335
Luís F. Seoane Spain	10	90 0.4×	33 0.4×	70 1.1×	56 1.1×	73 1.6×	28	246

Countries citing papers authored by David Dahmen

Since Specialization

Citations

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

Fields of papers citing papers by David Dahmen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Dahmen

This figure shows the co-authorship network connecting the top 25 collaborators of David Dahmen. A scholar is included among the top collaborators of David Dahmen 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 David Dahmen. David Dahmen 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

Dahmen, David, et al.. (2025). Impact of Local Connectivity Patterns on Excitatory-Inhibitory Network Dynamics. SPIRE - Sciences Po Institutional REpository. 3(2). 1 indexed citations

Ness, Torbjørn V., Tom Tetzlaff, Gaute T. Einevoll, & David Dahmen. (2025). On the validity of electric brain signal predictions based on population firing rates. PLoS Computational Biology. 21(4). e1012303–e1012303.

Helias, Moritz, et al.. (2024). Effect of Synaptic Heterogeneity on Neuronal Coordination. 2(1). 4 indexed citations

Dahmen, David, et al.. (2023). Signal denoising through topographic modularity of neural circuits. eLife. 12.

Nestler, Sandra, et al.. (2023). Learning Interacting Theories from Data. Physical Review X. 13(4). 4 indexed citations

Luu, Thomas, et al.. (2022). Gell-Mann–Low Criticality in Neural Networks. Physical Review Letters. 128(16). 168301–168301. 15 indexed citations

Dahmen, David, et al.. (2022). Unified field theoretical approach to deep and recurrent neuronal networks. Journal of Statistical Mechanics Theory and Experiment. 2022(10). 103401–103401. 11 indexed citations

Voges, Nicole, Michael von Papen, Junji Ito, et al.. (2021). On the Complexity of Resting State Spiking Activity in Monkey Motor Cortex. Cerebral Cortex Communications. 2(3). tgab033–tgab033. 11 indexed citations

Dahmen, David, et al.. (2021). Transient Chaotic Dimensionality Expansion by Recurrent Networks. Physical Review X. 11(2). 18 indexed citations

10.

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

11.

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

12.

Dahmen, David, et al.. (2020). Self-consistent formulations for stochastic nonlinear neuronal dynamics. Physical review. E. 101(4). 42124–42124. 10 indexed citations

13.

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

14.

Dahmen, David, et al.. (2017). Two types of criticality in the brain. JuSER (Forschungszentrum Jülich).

15.

Hagen, Espen, David Dahmen, Maria Stavrinou, et al.. (2016). Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks. Cerebral Cortex. 26(12). 4461–4496. 55 indexed citations

16.

Dahmen, David, Markus Diesmann, & Moritz Helias. (2016). Distributions of covariances as a window into the operational regime of neuronal networks. JuSER (Forschungszentrum Jülich). 15 indexed citations

17.

Dahmen, David, et al.. (2015). Correlated Fluctuations in Strongly Coupled Binary Networks Beyond Equilibrium. RWTH Publications (RWTH Aachen). 3 indexed citations

18.

Hagen, Espen, David Dahmen, Maria Stavrinou, et al.. (2015). Hybrid scheme for modeling local field potentials from point-neuron networks. BMC Neuroscience. 16(S1). 7 indexed citations

19.

Dahmen, David, et al.. (2014). Computing local field potentials based on spiking cortical networks. Frontiers in Neuroinformatics. 8. 2 indexed citations

20.

Dahlman, Carl J., Claudio Frischtak, Kenneth Flamm, et al.. (1993). Developing the electronics industry : a World Bank symposium. 1–351. 1 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.

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