Grégory C. Nordmann

19 total papers · 572 total citations
11 papers, 288 citations indexed

About

Grégory C. Nordmann is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Biophysics. According to data from OpenAlex, Grégory C. Nordmann has authored 11 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 4 papers in Sensory Systems and 3 papers in Biophysics. Recurrent topics in Grégory C. Nordmann's work include Neurobiology and Insect Physiology Research (3 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and Photoreceptor and optogenetics research (3 papers). Grégory C. Nordmann is often cited by papers focused on Neurobiology and Insect Physiology Research (3 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and Photoreceptor and optogenetics research (3 papers). Grégory C. Nordmann collaborates with scholars based in Austria, Germany and United States. Grégory C. Nordmann's co-authors include David A. Keays, Tobias Hochstoeger, Trynke R. de Jong, Brigitte M. Kudielka, E. Pascal Malkemper, Simon Nimpf, Inga D. Neumann, Lyubov Ushakova, Berthold Langguth and Martin Schecklmann and has published in prestigious journals such as Science, Current Biology and Scientific Reports.

In The Last Decade

Grégory C. Nordmann

9 papers receiving 280 citations

Author Peers

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

Author						Papers	Cites
Grégory C. Nordmann	83	63	60	46	44	11	288
Simon Nimpf	73 0.9×	58 0.9×	33 0.6×	6 0.1×	21 0.5×	14	263
Simon Weiler	122 1.5×	104 1.7×	111 1.9×	7 0.2×	17 0.4×	10	288
Mattias Lauwers	70 0.8×	50 0.8×	44 0.7×	5 0.1×	20 0.5×	6	245
Diane Dubreuil	163 2.0×	49 0.8×	113 1.9×	58 1.3×	42 1.0×	7	327
Sandra Borland	112 1.3×	21 0.3×	56 0.9×	26 0.6×	32 0.7×	7	302
Michael S. Painter	146 1.8×	27 0.4×	58 1.0×	11 0.2×	42 1.0×	18	247
Cordula V. Mora	135 1.6×	33 0.5×	68 1.1×	14 0.3×	25 0.6×	10	294
Evelyn Dylda	40 0.5×	190 3.0×	231 3.9×	9 0.2×	12 0.3×	7	312
Deepak Ailani	11 0.1×	93 1.5×	63 1.1×	34 0.7×	17 0.4×	8	257
Peter Rupprecht	57 0.7×	144 2.3×	134 2.2×	6 0.1×	15 0.3×	16	317

Countries citing papers authored by Grégory C. Nordmann

Since Specialization

Citations

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

Fields of papers citing papers by Grégory C. Nordmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grégory C. Nordmann. 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 Grégory C. Nordmann. The network helps show where Grégory C. Nordmann may publish in the future.

Co-authorship network of co-authors of Grégory C. Nordmann

This figure shows the co-authorship network connecting the top 25 collaborators of Grégory C. Nordmann. A scholar is included among the top collaborators of Grégory C. Nordmann 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 Grégory C. Nordmann. Grégory C. Nordmann 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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