Espen Hagen

1.6k total citations
28 papers, 685 citations indexed

About

Espen Hagen is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Espen Hagen has authored 28 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 12 papers in Cellular and Molecular Neuroscience and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Espen Hagen's work include Neural dynamics and brain function (19 papers), Neuroscience and Neural Engineering (10 papers) and Advanced Memory and Neural Computing (6 papers). Espen Hagen is often cited by papers focused on Neural dynamics and brain function (19 papers), Neuroscience and Neural Engineering (10 papers) and Advanced Memory and Neural Computing (6 papers). Espen Hagen collaborates with scholars based in Norway, United States and Germany. Espen Hagen's co-authors include Gaute T. Einevoll, Klas H. Pettersen, Torbjørn V. Ness, Felix Franke, Kenneth D. Harris, Christophe Pouzat, Solveig Næss, Henrik Lindén, Szymon Łęski and Markus Diesmann and has published in prestigious journals such as Nature Genetics, Journal of Neuroscience and NeuroImage.

In The Last Decade

Espen Hagen

26 papers receiving 681 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Espen Hagen Norway 13 601 439 151 37 29 28 685
Torbjørn V. Ness Norway 14 461 0.8× 320 0.7× 106 0.7× 53 1.4× 40 1.4× 24 574
Timothy J. Blanche United States 11 471 0.8× 524 1.2× 202 1.3× 68 1.8× 80 2.8× 14 686
Martin A. Spacek Canada 8 309 0.5× 301 0.7× 92 0.6× 27 0.7× 25 0.9× 15 378
Tobias C. Potjans Japan 8 651 1.1× 404 0.9× 261 1.7× 38 1.0× 15 0.5× 15 781
Ingmar Kanitscheider United States 6 701 1.2× 314 0.7× 67 0.4× 41 1.1× 11 0.4× 10 768
John Schulman United States 2 435 0.7× 354 0.8× 68 0.5× 39 1.1× 32 1.1× 5 514
Julien Fournier France 10 435 0.7× 309 0.7× 38 0.3× 51 1.4× 8 0.3× 11 498
David Jäckel Switzerland 11 376 0.6× 492 1.1× 237 1.6× 45 1.2× 109 3.8× 22 578
S. Kachiguine United States 7 303 0.5× 397 0.9× 192 1.3× 61 1.6× 80 2.8× 10 487
Stéphane Deny France 7 266 0.4× 235 0.5× 61 0.4× 110 3.0× 23 0.8× 12 406

Countries citing papers authored by Espen Hagen

Since Specialization
Citations

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

Fields of papers citing papers by Espen Hagen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Espen Hagen

This figure shows the co-authorship network connecting the top 25 collaborators of Espen Hagen. A scholar is included among the top collaborators of Espen Hagen 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 Espen Hagen. Espen Hagen 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.
Frei, Oleksandr, Piotr Jahołkowski, Nadine Parker, et al.. (2025). The phenotypic and genetic relationship between adolescent mental health and time spent on social media, gaming, and TV. Psychiatry Research. 353. 116761–116761.
2.
Parker, Nadine, Laurie J. Hannigan, Espen Hagen, et al.. (2024). Childhood trajectories of emotional and behavioral difficulties are related to polygenic liability for mood and anxiety disorders. Journal of Child Psychology and Psychiatry. 66(3). 350–365. 3 indexed citations
3.
Karadag, Naz, Espen Hagen, Alexey Shadrin, et al.. (2024). Unraveling the shared genetics of common epilepsies and general cognitive ability. Seizure. 122. 105–112.
4.
Karadag, Naz, Espen Hagen, Alexey Shadrin, et al.. (2024). Dissecting the Shared Genetic Architecture of Common Epilepsies With Cortical Brain Morphology. Neurology Genetics. 10(3). e200143–e200143. 2 indexed citations
5.
Senk, Johanna, Espen Hagen, Sacha J. van Albada, & Markus Diesmann. (2024). Reconciliation of weak pairwise spike–train correlations and highly coherent local field potentials across space. Cerebral Cortex. 34(10). 1 indexed citations
6.
Holen, Børge, Alexey Shadrin, Romain Icick, et al.. (2023). Genome‐wide analyses reveal novel opioid use disorder loci and genetic overlap with schizophrenia, bipolar disorder, and major depression. Addiction Biology. 28(6). e13282–e13282. 9 indexed citations
7.
Stasik, A., Espen Hagen, Yazan N. Billeh, et al.. (2023). Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex. eLife. 12. 15 indexed citations
8.
Hagen, Espen, et al.. (2022). Brain signal predictions from multi-scale networks using a linearized framework. PLoS Computational Biology. 18(8). e1010353–e1010353. 12 indexed citations
9.
Hagen, Espen, Anna R. Chambers, Gaute T. Einevoll, et al.. (2021). RippleNet: a Recurrent Neural Network for Sharp Wave Ripple (SPW-R) Detection. Neuroinformatics. 19(3). 493–514. 14 indexed citations
10.
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
11.
Næss, Solveig, Geir Halnes, Espen Hagen, et al.. (2020). Biophysically detailed forward modeling of the neural origin of EEG and MEG signals. NeuroImage. 225. 117467–117467. 40 indexed citations
12.
Stasik, A., et al.. (2020). Estimation of neural network model parameters from local field potentials (LFPs). PLoS Computational Biology. 16(3). e1007725–e1007725. 14 indexed citations
13.
Senk, Johanna, Birgit Kriener, Hans Ekkehard Pleßer, et al.. (2019). Connectivity Concepts for Neuronal Networks. JuSER (Forschungszentrum Jülich). 1 indexed citations
14.
Hagen, Espen, Solveig Næss, Torbjørn V. Ness, & Gaute T. Einevoll. (2018). Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0. Frontiers in Neuroinformatics. 12. 92–92. 74 indexed citations
15.
Senk, Johanna, et al.. (2018). VIOLA—A Multi-Purpose and Web-Based Visualization Tool for Neuronal-Network Simulation Output. Frontiers in Neuroinformatics. 12. 75–75. 6 indexed citations
16.
Hagen, Espen, et al.. (2017). Focal Local Field Potential Signature of the Single-Axon Monosynaptic Thalamocortical Connection. Journal of Neuroscience. 37(20). 5123–5143. 16 indexed citations
17.
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
18.
Hagen, Espen, et al.. (2016). Biophysical Network Modelling of the dLGN Circuit: Different Effects of Triadic and Axonal Inhibition on Visual Responses of Relay Cells. PLoS Computational Biology. 12(5). e1004929–e1004929. 7 indexed citations
19.
Einevoll, Gaute T., Felix Franke, Espen Hagen, Christophe Pouzat, & Kenneth D. Harris. (2011). Towards reliable spike-train recordings from thousands of neurons with multielectrodes. Current Opinion in Neurobiology. 22(1). 11–17. 134 indexed citations
20.
Pettersen, Klas H., Espen Hagen, & Gaute T. Einevoll. (2007). Estimation of population firing rates and current source densities from laminar electrode recordings. Journal of Computational Neuroscience. 24(3). 291–313. 71 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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