Michael Gevaert

2.2k total citations
5 papers, 120 citations indexed

About

Michael Gevaert is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael Gevaert has authored 5 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 2 papers in Electrical and Electronic Engineering and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Michael Gevaert's work include Neural dynamics and brain function (4 papers), Functional Brain Connectivity Studies (3 papers) and Advanced Memory and Neural Computing (2 papers). Michael Gevaert is often cited by papers focused on Neural dynamics and brain function (4 papers), Functional Brain Connectivity Studies (3 papers) and Advanced Memory and Neural Computing (2 papers). Michael Gevaert collaborates with scholars based in Switzerland, France and United Kingdom. Michael Gevaert's co-authors include Eilif Müller, Felix Schürmann, Henry Markram, Michael Reimann, Ying Shi, Huanxiang Lu, Pramod Kumbhar, Idan Segev, Guy Eyal and Oren Amsalem and has published in prestigious journals such as Nature Communications, Cerebral Cortex and PLoS Computational Biology.

In The Last Decade

Michael Gevaert

5 papers receiving 116 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Gevaert Switzerland	5	75	41	22	22	20	5	120
Oren Amsalem Israel	8	121 1.6×	91 2.2×	31 1.4×	10 0.5×	28 1.4×	13	173
Alex D. Bird Germany	9	104 1.4×	123 3.0×	45 2.0×	29 1.3×	36 1.8×	16	202
Julio I. Chapeton United States	8	188 2.5×	80 2.0×	21 1.0×	33 1.5×	27 1.4×	14	248
Ted Carnevale United States	5	130 1.7×	80 2.0×	34 1.5×	25 1.1×	40 2.0×	7	196
João Couto Belgium	8	118 1.6×	106 2.6×	20 0.9×	7 0.3×	13 0.7×	14	170
Bóris Marin United Kingdom	5	91 1.2×	60 1.5×	31 1.4×	56 2.5×	33 1.6×	19	178
Marwan Abdellah Switzerland	8	73 1.0×	56 1.4×	35 1.6×	75 3.4×	20 1.0×	13	188
J. F. Esteban Müller Switzerland	4	113 1.5×	43 1.0×	16 0.7×	15 0.7×	56 2.8×	5	200
Matteo Cantarelli United Kingdom	4	116 1.5×	77 1.9×	30 1.4×	33 1.5×	34 1.7×	11	234
Netanel Ofer United States	6	78 1.0×	113 2.8×	39 1.8×	33 1.5×	15 0.8×	9	173

Countries citing papers authored by Michael Gevaert

Since Specialization

Citations

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

Fields of papers citing papers by Michael Gevaert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gevaert

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

All Works

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5 of 5 papers shown

1.

Keller, Daniel, Lida Kanari, Alexis Arnaudon, et al.. (2021). Digital Reconstruction of the Neuro-Glia-Vascular Architecture. Cerebral Cortex. 31(12). 5686–5703. 35 indexed citations

2.

Dai, Kael, Juan Hernando, Yazan N. Billeh, et al.. (2020). The SONATA data format for efficient description of large-scale network models. PLoS Computational Biology. 16(2). e1007696–e1007696. 29 indexed citations

3.

Amsalem, Oren, Guy Eyal, Michael Gevaert, et al.. (2020). An efficient analytical reduction of detailed nonlinear neuron models. Nature Communications. 11(1). 288–288. 27 indexed citations

4.

Reimann, Michael, Michael Gevaert, Ying Shi, et al.. (2019). A null model of the mouse whole-neocortex micro-connectome. Nature Communications. 10(1). 3903–3903. 23 indexed citations

5.

Dai, Kael, Juan Hernando, Yazan N. Billeh, et al.. (2019). The SONATA Data Format for Efficient Description of Large-Scale Network Models. SSRN Electronic Journal. 6 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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