World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
50
Citations
10457
World Ranking
5695
National Ranking
26

Gaute T. Einevoll publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Gaute T. Einevoll sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 187 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Gaute T. Einevoll D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Gaute T. Einevoll sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 50 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Gaute T. Einevoll is affiliated with the Norwegian University of Life Sciences in Norway. Their research primarily focuses on the field of neuroscience, with significant contributions in subfields such as cognitive neuroscience, cellular and molecular neuroscience, molecular biology, electrical and electronic engineering, and radiology, nuclear medicine, and imaging.

Their work covers a range of topics including:

  • Neural dynamics and brain function
  • Neuroscience and neural engineering
  • Neuroscience and neuropharmacology research
  • EEG and brain-computer interfaces
  • Functional brain connectivity studies
  • Photoreceptor and optogenetics research
  • Advanced memory and neural computing

Einevoll has authored numerous publications. Some of their recent papers include:

  • Biophysically detailed forward modeling of the neural origin of EEG and MEG signals, 2020, NeuroImage
  • MEArec: A Fast and Customizable Testbench Simulator for Ground-truth Extracellular Spiking Activity, 2020, Neuroinformatics
  • Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits, 2020, PLoS Computational Biology
  • Corticothalamic feedback sculpts visual spatial integration in mouse thalamus, 2021, Nature Neuroscience
  • A unified computational model for cortical post-synaptic plasticity, 2020, eLife

Frequently collaborating with other researchers, their most frequent coauthors include Torbjørn V. Ness, Geir Halnes, Espen Hagen, Solveig Næss, and Klas H. Pettersen.

Publication venues where Einevoll's work appears regularly include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS Computational Biology
  • Zenodo (CERN European Organization for Nuclear Research)
  • NeuroImage
  • Neuroinformatics

Einevoll has published book work as well. Notably, they contributed to:

  • Principles of Computational Modelling in Neuroscience, published by Cambridge University Press in 2023

Best Publications

  • Modelling and analysis of local field potentials for studying the function of cortical circuits

    Gaute T. Einevoll;Christoph Kayser;Nikos K. Logothetis;Stefano Panzeri

  • From grid cells to place cells: a mathematical model.

    Trygve Solstad;Edvard I. Moser;Gaute T. Einevoll

  • Modeling the spatial reach of the LFP.

    Henrik Lindén;Henrik Lindén;Tom Tetzlaff;Tobias C. Potjans;Klas H. Pettersen

  • Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models.

    Alberto Mazzoni;Alberto Mazzoni;Henrik Lindén;Henrik Lindén;Hermann Cuntz;Hermann Cuntz;Hermann Cuntz;Anders Lansner

  • Current-source density estimation based on inversion of electrostatic forward solution: effects of finite extent of neuronal activity and conductivity discontinuities.

    Klas H. Pettersen;Anna Devor;Anna Devor;Istvan Ulbert;Istvan Ulbert;Anders M. Dale

  • Investigating large-scale brain dynamics using field potential recordings: analysis and interpretation

    Bijan Pesaran;Bijan Pesaran;Martin Vinck;Gaute T. Einevoll;Gaute T. Einevoll;Anton Sirota

  • Amplitude Variability and Extracellular Low-Pass Filtering of Neuronal Spikes

    Klas H. Pettersen;Gaute T. Einevoll

  • Intrinsic dendritic filtering gives low-pass power spectra of local field potentials

    Henrik Lindén;Klas H. Pettersen;Gaute T. Einevoll

  • In vivo Stimulus-Induced Vasodilation Occurs without IP3 Receptor Activation and May Precede Astrocytic Calcium Increase

    Krystal Nizar;Hana Uhlirova;Peifang Tian;Payam A. Saisan

  • Cell type specificity of neurovascular coupling in cerebral cortex

    Hana Uhlirova;Kivilcim Kiliç;Peifang Tian;Peifang Tian;Martin Thunemann

  • Towards reliable spike-train recordings from thousands of neurons with multielectrodes

    Gaute T Einevoll;Felix Franke;Espen Hagen;Christophe Pouzat

  • Decorrelation of neural-network activity by inhibitory feedback.

    Tom Tetzlaff;Moritz Helias;Gaute T. Einevoll;Markus Diesmann;Markus Diesmann

  • LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neurons.

    Henrik Linden;Henrik Linden;Espen Hagen;Szymon Leski;Szymon Leski;Espen Skjønsberg Norheim

  • The Scientific Case for Brain Simulations

    Gaute T. Einevoll;Gaute T. Einevoll;Alain Destexhe;Alain Destexhe;Markus Diesmann;Sonja Grün

  • Laminar population analysis: estimating firing rates and evoked synaptic activity from multielectrode recordings in rat barrel cortex.

    Gaute T. Einevoll;Klas H. Pettersen;Anna Devor;Anna Devor;Istvan Ulbert

  • Frequency Dependence of Signal Power and Spatial Reach of the Local Field Potential

    Szymon Łęski;Szymon Łęski;Henrik Lindén;Henrik Lindén;Tom Tetzlaff;Klas H. Pettersen

  • Estimation of population firing rates and current source densities from laminar electrode recordings

    Klas H. Pettersen;Espen Hagen;Gaute T. Einevoll

  • Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0.

    Espen Hagen;Solveig Næss;Torbjørn V. Ness;Gaute T. Einevoll;Gaute T. Einevoll

  • Astrocytic mechanisms explaining neural-activity-induced shrinkage of extraneuronal space.

    Ivar Østby;Leiv Øyehaug;Gaute T. Einevoll;Erlend A. Nagelhus

  • Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.

    Espen Hagen;Espen Hagen;David Dahmen;Maria L. Stavrinou;Maria L. Stavrinou;Henrik Lindén;Henrik Lindén

  • Generalized Laminar Population Analysis (gLPA) for Interpretation of Multielectrode Data from Cortex.

    Helena T. Głąbska;Eivind Norheim;Anna Devor;Anna Devor;Anders M. Dale

Frequent Co-Authors

Anna Devor
Anna Devor Boston University
Anders M. Dale
Anders M. Dale J. Craig Venter Institute
Ole A. Andreassen
Ole A. Andreassen Oslo University Hospital
Markus Diesmann
Markus Diesmann RWTH Aachen University
Srdjan Djurovic
Srdjan Djurovic Oslo University Hospital
Torgeir Moberget
Torgeir Moberget Oslo University Hospital
Alain Destexhe
Alain Destexhe Centre national de la recherche scientifique, CNRS
Torbjørn Elvsåshagen
Torbjørn Elvsåshagen University of Oslo
Lars T. Westlye
Lars T. Westlye University of Oslo
Yunpeng Wang
Yunpeng Wang University of Oslo

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