Mathieu Sprengers

42 total papers · 815 total citations
28 papers, 464 citations indexed

About

Mathieu Sprengers is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Mathieu Sprengers has authored 28 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 13 papers in Neurology and 12 papers in Cognitive Neuroscience. Recurrent topics in Mathieu Sprengers's work include Neurological disorders and treatments (10 papers), Vagus Nerve Stimulation Research (9 papers) and Neuroscience and Neuropharmacology Research (9 papers). Mathieu Sprengers is often cited by papers focused on Neurological disorders and treatments (10 papers), Vagus Nerve Stimulation Research (9 papers) and Neuroscience and Neuropharmacology Research (9 papers). Mathieu Sprengers collaborates with scholars based in Belgium, Netherlands and United States. Mathieu Sprengers's co-authors include Kristl Vonck, Paul Boon, Evelien Carrette, Anthony G Marson, Robrecht Raedt, Jean Delbeke, Wytse J. Wadman, Ine Dauwe, Veerle De Herdt and Alfred Meurs and has published in prestigious journals such as Brain, Brain Research and Cochrane Database of Systematic Reviews.

In The Last Decade

Mathieu Sprengers

25 papers receiving 461 citations

Author Peers

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

Author Last Decade Papers Cites
Mathieu Sprengers 270 201 190 131 115 28 464
V. I. Koroleva 269 1.0× 71 0.4× 157 0.8× 155 1.2× 70 0.6× 31 507
Dumitru Ciolac 144 0.5× 215 1.1× 201 1.1× 87 0.7× 96 0.8× 35 538
E.G. Szekely 198 0.7× 243 1.2× 150 0.8× 63 0.5× 133 1.2× 37 551
Raphael Fernandes Casseb 124 0.5× 105 0.5× 197 1.0× 128 1.0× 112 1.0× 35 522
Valeria Elisa Contarino 86 0.3× 207 1.0× 157 0.8× 64 0.5× 72 0.6× 29 480
George W. Dauth 322 1.2× 127 0.6× 142 0.7× 40 0.3× 57 0.5× 22 511
Abdul Rauf Anwar 131 0.5× 162 0.8× 297 1.6× 69 0.5× 38 0.3× 27 497
F. Spanedda 208 0.8× 96 0.5× 240 1.3× 279 2.1× 54 0.5× 21 475
Fumitoshi Niwa 82 0.3× 174 0.9× 79 0.4× 73 0.6× 109 0.9× 25 460
Shazia Javed 213 0.8× 325 1.6× 94 0.5× 33 0.3× 86 0.7× 28 473

Countries citing papers authored by Mathieu Sprengers

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Sprengers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Sprengers

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Sprengers. A scholar is included among the top collaborators of Mathieu Sprengers 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 Mathieu Sprengers. Mathieu Sprengers 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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