Marc de Kamps

158 total papers · 4.8k total citations
66 papers, 1.3k citations indexed

About

Marc de Kamps is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Marc de Kamps has authored 66 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cognitive Neuroscience, 20 papers in Artificial Intelligence and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Marc de Kamps's work include Neural dynamics and brain function (28 papers), Advanced Memory and Neural Computing (11 papers) and Neural Networks and Applications (9 papers). Marc de Kamps is often cited by papers focused on Neural dynamics and brain function (28 papers), Advanced Memory and Neural Computing (11 papers) and Neural Networks and Applications (9 papers). Marc de Kamps collaborates with scholars based in United Kingdom, Netherlands and Germany. Marc de Kamps's co-authors include Frank van der Velde, M. Lücke, W. Barten, H. W. Müller, Mark S. Gilthorpe, Kellyn F Arnold, Peter W. G. Tennant, Hans Ekkehard Pleßer, Jack Wilkinson and Stefan Konigorski and has published in prestigious journals such as Physical Review Letters, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Marc de Kamps

64 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Marc de Kamps 432 336 293 205 179 66 1.3k
V. Protopopescu 273 0.6× 145 0.4× 72 0.2× 279 1.4× 394 2.2× 90 1.6k
J.M. Salazar 333 0.8× 92 0.3× 102 0.3× 92 0.4× 226 1.3× 43 1.4k
Gabriel J. Lord 187 0.4× 351 1.0× 246 0.8× 40 0.2× 418 2.3× 67 1.7k
Christopher J. Rozell 402 0.9× 85 0.3× 435 1.5× 201 1.0× 44 0.2× 107 1.6k
Michael A. Zaks 367 0.8× 970 2.9× 157 0.5× 55 0.3× 1.1k 5.9× 82 1.6k
Robert Shaw 184 0.4× 418 1.2× 80 0.3× 130 0.6× 658 3.7× 42 1.7k
Preben Alstrøm 104 0.2× 225 0.7× 71 0.2× 190 0.9× 290 1.6× 53 1.1k
H. G. Schuster 218 0.5× 192 0.6× 75 0.3× 206 1.0× 426 2.4× 47 1.6k
Steven J. Cox 192 0.4× 41 0.1× 150 0.5× 76 0.4× 193 1.1× 65 1.5k
Mario Markus 127 0.3× 673 2.0× 176 0.6× 45 0.2× 518 2.9× 67 1.7k

Countries citing papers authored by Marc de Kamps

Since Specialization
Citations

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

Fields of papers citing papers by Marc de Kamps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc de Kamps. 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 Marc de Kamps. The network helps show where Marc de Kamps may publish in the future.

Co-authorship network of co-authors of Marc de Kamps

This figure shows the co-authorship network connecting the top 25 collaborators of Marc de Kamps. A scholar is included among the top collaborators of Marc de Kamps 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 Marc de Kamps. Marc de Kamps 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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