Romain D. Cazé

23 total papers · 558 total citations
10 papers, 311 citations indexed

About

Romain D. Cazé is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Romain D. Cazé has authored 10 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 6 papers in Electrical and Electronic Engineering and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Romain D. Cazé's work include Neural dynamics and brain function (10 papers), Advanced Memory and Neural Computing (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Romain D. Cazé is often cited by papers focused on Neural dynamics and brain function (10 papers), Advanced Memory and Neural Computing (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Romain D. Cazé collaborates with scholars based in United Kingdom, France and Russia. Romain D. Cazé's co-authors include Boris Gutkin, Matthijs A. A. van der Meer, Mark D. Humphries, Simon R. Schultz, David A. DiGregorio, Alexandra Tran-Van-Minh, Laurence Cathala, Therése Abrahamsson, Benoît Girard and Mehdi Khamassi and has published in prestigious journals such as Journal of Neurophysiology, Scientific Reports and PLoS Computational Biology.

In The Last Decade

Romain D. Cazé

9 papers receiving 308 citations

Author Peers

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

Author						Papers	Cites
Romain D. Cazé	239	155	60	38	31	10	311
Katharina A. Wilmes	261 1.1×	114 0.7×	48 0.8×	21 0.6×	19 0.6×	13	289
Dominic Standage	277 1.2×	58 0.4×	38 0.6×	17 0.4×	8 0.3×	25	335
Christopher J. Cueva	300 1.3×	59 0.4×	67 1.1×	78 2.1×	13 0.4×	7	323
Encarni Marcos	314 1.3×	60 0.4×	23 0.4×	29 0.8×	9 0.3×	19	360
Kenneth W. Latimer	281 1.2×	95 0.6×	35 0.6×	29 0.8×	23 0.7×	12	320
Dhruva Tirumala	227 0.9×	52 0.3×	39 0.7×	108 2.8×	27 0.9×	4	331
Eleonora Russo	204 0.9×	97 0.6×	20 0.3×	41 1.1×	21 0.7×	19	293
Shiva Farashahi	229 1.0×	38 0.2×	11 0.2×	29 0.8×	16 0.5×	13	288
Juri Minxha	269 1.1×	111 0.7×	20 0.3×	11 0.3×	7 0.2×	9	346
Norman H. Lam	184 0.8×	50 0.3×	11 0.2×	14 0.4×	13 0.4×	11	249

Countries citing papers authored by Romain D. Cazé

Since Specialization

Citations

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

Fields of papers citing papers by Romain D. Cazé

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Romain D. Cazé. 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 Romain D. Cazé. The network helps show where Romain D. Cazé may publish in the future.

Co-authorship network of co-authors of Romain D. Cazé

This figure shows the co-authorship network connecting the top 25 collaborators of Romain D. Cazé. A scholar is included among the top collaborators of Romain D. Cazé 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 Romain D. Cazé. Romain D. Cazé 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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