Marc de Kamps
- Health Informatics top 5%
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 28
- Visual perception and processing mechanisms 7
- EEG and Brain-Computer Interfaces 7
- Neurobiology of Language and Bilingualism 6
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- Nonlinear Dynamics and Pattern Formation 8
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- stochastic dynamics and bifurcation 5
- Computational Mechanics top 5%
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- Advanced Memory and Neural Computing 11
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- Neural Networks and Applications 9
Marc de Kamps
63 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 125
- Health Informatics 39
- Cognitive Neuroscience 434
- Computer Networks and Communications 336
- Statistical and Nonlinear Physics 177
- Computational Mechanics 294
Countries citing papers authored by Marc de Kamps
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
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
The 25 scholars most cited alongside Marc de Kamps, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 4 | |
| 12 | 2020 | 41 | |
| 13 | 2020 | 125 | |
| 14 | 2019 | 105 | |
| 15 | 2017 | 7 | |
| 16 | Combinatorial structures and processing in neural blackboard architectures | 2015 | 3 |
| 17 | 2015 | 12 | |
| 18 | 2007 | 2 | |
| 19 | Neural assembly binding in linguistic representation | 2003 | 2 |
| 20 | 2001 | 16 |
About Marc de Kamps
Marc de Kamps is a scholar working on Cognitive Neuroscience, Health Informatics and Statistical and Nonlinear Physics, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (28 papers), Advanced Memory and Neural Computing (11 papers), Neural Networks and Applications (9 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Visual perception and processing mechanisms (7 papers), EEG and Brain-Computer Interfaces (7 papers), Neurobiology of Language and Bilingualism (6 papers) and stochastic dynamics and bifurcation (5 papers). The work is most often cited by research in Health Informatics (39 citations), Cognitive Neuroscience (434 citations) and Computer Networks and Communications (336 citations). Marc de Kamps has collaborated with scholars based in United Kingdom, Netherlands and Germany. Frequent co-authors include Frank van der Velde, M. Lücke, W. Barten, H. W. Müller, Mark S. Gilthorpe, Kellyn F Arnold, Peter W. G. Tennant, Gaute T. Einevoll, Michele Migliore and Felix Schürmann. Their work appears in journals such as Neurocomputing, Behavioral and Brain Sciences, BMC Neuroscience, Cognitive Systems Research and BMC Medical Research Methodology.
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.