Marc de Kamps

4.6k total citations
65 papers, 1.2k 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 65 papers receiving a total of 1.2k 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, Gaute T. Einevoll, Michele Migliore and Felix Schürmann and has published in prestigious journals such as Physical Review Letters, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Marc de Kamps

63 papers receiving 1.2k citations

Peers

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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20 of 20 papers shown

#	Work	Indexed citations
1	Simulating hierarchical data to assess the utility of ecological versus multilevel analyses in obtaining individual-level causal effects 2025 ·BMC Medical Research Methodology ·(unknown), Jonathan Stokes, Andreas Höhn, Marc de Kamps, (unknown), Kellyn F Arnold, E. Hensor, Alison Heppenstall, Mark S. Gilthorpe	2
2	Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review 2025 ·BMC Medical Research Methodology ·(unknown), Owen Johnson, (unknown), Marc de Kamps, Lesley Smith	2
3	Fairness in AI for healthcare 2024 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Marc de Kamps	4
4	Object-based feedback attention in convolutional neural networks improves tumour detection in digital pathology 2024 ·Scientific Reports ·(unknown), Alexander Wright, Clare McGenity, Darren Treanor, Marc de Kamps	0
5	Digital pathology whole slide image compression with vector quantized variational autoencoders 2023 ·(unknown), Marc de Kamps, Alexander Wright, Darren Treanor	0
6	Machine Learning for Risk Prediction of Oesophago-Gastric Cancer in Primary Care: Comparison with Existing Risk-Assessment Tools 2022 ·Cancers ·(unknown), Marc de Kamps, William Hamilton, Owen Johnson, (unknown), Richard D Neal	15
7	Evaluating Muscle Synergies With EMG Data and Physics Simulation in the Neurorobotics Platform 2022 ·Frontiers in Neurorobotics ·(unknown), (unknown), Alois Knoll, (unknown), Sarah Astill, Marc de Kamps, Samit Chakrabarty	4
8	Attention-guided sampling for colorectal cancer analysis with digital pathology 2022 ·Journal of Pathology Informatics ·(unknown), Alexander Wright, Marc de Kamps, Darren Treanor	6
9	Multidimensional Dynamical Systems with Noise 2021 ·Advances in experimental medicine and biology ·(unknown), (unknown), Marc de Kamps	1
10	Latent class regression improves the predictive acuity and clinical utility of survival prognostication amongst chronic heart failure patients 2021 ·PLoS ONE ·(unknown), Marc de Kamps, Paul D. Baxter, George T. H. Ellison, Mark S. Gilthorpe	1
11	MIIND : A Model-Agnostic Simulator of Neural Populations 2021 ·Frontiers in Neuroinformatics ·(unknown), (unknown), Mikkel Elle Lepperød, (unknown), (unknown), Marc de Kamps	4
12	Reflection on modern methods: generalized linear models for prognosis and intervention—theory, practice and implications for machine learning 2020 ·International Journal of Epidemiology ·Kellyn F Arnold, Vinny Davies, Marc de Kamps, Peter W. G. Tennant, (unknown), Mark S. Gilthorpe	41
13	Time to reality check the promises of machine learning-powered precision medicine 2020 ·The Lancet Digital Health ·Jack Wilkinson, Kellyn F Arnold, Eleanor J. Murray, Maarten van Smeden, (unknown), Rachel Sippy, Marc de Kamps, Andrew L. Beam, Stefan Konigorski, Christoph Lippert, Mark S. Gilthorpe, Peter W. G. Tennant	125
14	The Scientific Case for Brain Simulations 2019 ·Neuron ·Gaute T. Einevoll, Alain Destexhe, (unknown), Sonja Grün, Viktor Jirsa, Marc de Kamps, Michele Migliore, Torbjørn V. Ness, Hans Ekkehard Pleßer, Felix Schürmann	105
15	Population density equations for stochastic processes with memory kernels 2017 ·Physical review. E ·(unknown), Marc de Kamps	7
16	Combinatorial structures and processing in neural blackboard architectures 2015 ·University of Twente Research Information ·Frank van der Velde, Marc de Kamps	3
17	The necessity of connection structures in neural models of variable binding 2015 ·Cognitive Neurodynamics ·Frank van der Velde, Marc de Kamps	12
18	A Roadmap for NeuroIT Challenges for the Next Decade 2007 ·IEEE Engineering in Medicine and Biology Magazine ·Marc de Kamps, Alois Knoll	2
19	Neural assembly binding in linguistic representation 2003 ·The European Symposium on Artificial Neural Networks ·Frank van der Velde, Marc de Kamps	2
20	From artificial neural networks to spiking neuron populations and back again 2001 ·Neural Networks ·Marc de Kamps, Frank van der Velde	16

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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