Marc de Kamps
- Cognitive Neuroscience top 5%
- Computer Networks and Communications top 5%
- Computational Mechanics top 5%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Frank van der VeldeM. LückeW. BartenH. W. MüllerMark S. GilthorpeKellyn F ArnoldPeter W. G. TennantGaute T. Einevoll
- Topics
- Neural dynamics and brain function (28 papers)Advanced Memory and Neural Computing (11 papers)Neural Networks and Applications (9 papers)
- Journals
- Physical Review LettersNeuronSHILAP Revista de lepidopterología
- Partner nations
- United KingdomNetherlandsGermany
In The Last Decade
Marc de Kamps
63 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 125
- Cognitive Neuroscience 434
- Computer Networks and Communications 336
- Computational Mechanics 294
- Artificial Intelligence 205
- Statistical and Nonlinear Physics 177
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 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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 15 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 41 | |
| 13 | 125 | |
| 14 | 105 | |
| 15 | 7 | |
| 16 | Combinatorial structures and processing in neural blackboard architectures | 3 |
| 17 | 12 | |
| 18 | 2 | |
| 19 | Neural assembly binding in linguistic representation | 2 |
| 20 | 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) and Neural Networks and Applications (9 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 Physical Review Letters, Neuron and SHILAP Revista de lepidopterología.
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.