Michael Avermann

9 total papers · 937 total citations
7 papers, 645 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 645 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 Advanced Memory and Neural Computing (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 Advanced Memory and Neural Computing (3 papers). Michael Avermann collaborates with scholars based in Switzerland, United States and United Kingdom. Michael Avermann's co-authors include Carl C.H. Petersen, Luc J. Gentet, Ferenc Mátyás, Jochen F. Staiger, Wulfram Gerstner, Céline Matéo, Karl Deisseroth, Feng Zhang, Richard Naud 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 642 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michael Avermann	588	520	98	59	36	7	645
Öjvind Bernander	542 0.9×	448 0.9×	104 1.1×	113 1.9×	63 1.8×	7	597
Neil J. Berman	441 0.8×	351 0.7×	101 1.0×	76 1.3×	82 2.3×	10	598
Monika P. Jadi	594 1.0×	482 0.9×	80 0.8×	61 1.0×	113 3.1×	19	719
Bartosz Teleńczuk	494 0.8×	300 0.6×	83 0.8×	66 1.1×	26 0.7×	21	587
Ingmar Kanitscheider	693 1.2×	314 0.6×	66 0.7×	64 1.1×	40 1.1×	10	760
Julie S. Haas	437 0.7×	429 0.8×	105 1.1×	90 1.5×	126 3.5×	21	614
Rodrigo F. Salazar	532 0.9×	243 0.5×	32 0.3×	36 0.6×	55 1.5×	11	614
Tobe Freeman	650 1.1×	309 0.6×	80 0.8×	41 0.7×	107 3.0×	12	735
Houman Safaai	634 1.1×	290 0.6×	74 0.8×	59 1.0×	25 0.7×	17	751
Cyrille Rossant	594 1.0×	453 0.9×	148 1.5×	37 0.6×	57 1.6×	18	727

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

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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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