Michael Avermann

940 total citations
7 papers, 650 citations indexed

About

Michael Avermann is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Michael Avermann has authored 7 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Michael Avermann's work include Neural dynamics and brain function (7 papers), Photoreceptor and optogenetics research (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Michael Avermann is often cited by papers focused on Neural dynamics and brain function (7 papers), Photoreceptor and optogenetics research (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Michael Avermann collaborates with scholars based in Switzerland, United States and Germany. Michael Avermann's co-authors include Carl C.H. Petersen, Luc J. Gentet, Jochen F. Staiger, Ferenc Mátyás, Wulfram Gerstner, Céline Matéo, Christian Tomm, Feng Zhang, Karl Deisseroth and Christian Pozzorini and has published in prestigious journals such as Neuron, Current Biology and Journal of Neurophysiology.

In The Last Decade

Michael Avermann

7 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Avermann Switzerland 5 592 523 99 59 36 7 650
Stephan Lawrence Marguet United States 10 714 1.2× 520 1.0× 86 0.9× 78 1.3× 75 2.1× 10 838
Christian Tomm Switzerland 4 713 1.2× 631 1.2× 176 1.8× 64 1.1× 54 1.5× 5 798
Thomas T. G. Hahn Germany 6 799 1.3× 664 1.3× 55 0.6× 65 1.1× 39 1.1× 9 878
Gabriel Koch Ocker United States 9 389 0.7× 243 0.5× 99 1.0× 80 1.4× 40 1.1× 16 434
Monika P. Jadi United States 11 598 1.0× 486 0.9× 81 0.8× 61 1.0× 115 3.2× 19 726
Ian M. Finn United States 4 509 0.9× 300 0.6× 64 0.6× 27 0.5× 47 1.3× 4 539
Sadra Sadeh United Kingdom 12 339 0.6× 267 0.5× 61 0.6× 29 0.5× 29 0.8× 20 398
Zuzanna Piwkowska France 10 425 0.7× 327 0.6× 111 1.1× 143 2.4× 36 1.0× 17 492
Moshe Rapp Israel 5 431 0.7× 349 0.7× 65 0.7× 74 1.3× 61 1.7× 5 533
Öjvind Bernander United States 5 542 0.9× 448 0.9× 104 1.1× 113 1.9× 63 1.8× 7 598

Countries citing papers authored by Michael Avermann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Avermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Avermann

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

All Works

7 of 7 papers shown
1.
Tomm, Christian, Michael Avermann, Carl C.H. Petersen, Wulfram Gerstner, & Tim P. Vogels. (2014). Connection-type-specific biases make uniform random network models consistent with cortical recordings. Journal of Neurophysiology. 112(8). 1801–1814. 8 indexed citations
2.
Avermann, Michael, Christian Tomm, Céline Matéo, Wulfram Gerstner, & Carl C.H. Petersen. (2012). Microcircuits of excitatory and inhibitory neurons in layer 2/3 of mouse barrel cortex. Journal of Neurophysiology. 107(11). 3116–3134. 164 indexed citations
3.
Matéo, Céline, Michael Avermann, Luc J. Gentet, et al.. (2011). In Vivo Optogenetic Stimulation of Neocortical Excitatory Neurons Drives Brain-State-Dependent Inhibition. Current Biology. 21(19). 1593–1602. 82 indexed citations
4.
Mensi, Skander, Richard Naud, Christian Pozzorini, et al.. (2011). Automatic characterization of three cortical neuron types reveals two distinct adaptation mechanisms. BMC Neuroscience. 12(S1). 1 indexed citations
5.
Mensi, Skander, Richard Naud, Christian Pozzorini, et al.. (2011). Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms. Journal of Neurophysiology. 107(6). 1756–1775. 69 indexed citations
6.
Tomm, Christian, Michael Avermann, Tim P. Vogels, Wulfram Gerstner, & Carl C.H. Petersen. (2011). The influence of structure on the response properties of biologically plausible neural network models. BMC Neuroscience. 12(S1). 2 indexed citations
7.
Gentet, Luc J., Michael Avermann, Ferenc Mátyás, Jochen F. Staiger, & Carl C.H. Petersen. (2010). Membrane Potential Dynamics of GABAergic Neurons in the Barrel Cortex of Behaving Mice. Neuron. 65(3). 422–435. 324 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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