Marc M. Van Hulle

5.8k total citations
258 papers, 4.0k citations indexed

About

Marc M. Van Hulle is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Marc M. Van Hulle has authored 258 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Cognitive Neuroscience, 72 papers in Artificial Intelligence and 54 papers in Signal Processing. Recurrent topics in Marc M. Van Hulle's work include EEG and Brain-Computer Interfaces (84 papers), Neural dynamics and brain function (70 papers) and Neural Networks and Applications (58 papers). Marc M. Van Hulle is often cited by papers focused on EEG and Brain-Computer Interfaces (84 papers), Neural dynamics and brain function (70 papers) and Neural Networks and Applications (58 papers). Marc M. Van Hulle collaborates with scholars based in Belgium, United Kingdom and United States. Marc M. Van Hulle's co-authors include Danilo P. Mandic, Temujin Gautama, Nikolay Chumerin, Nikolay V. Manyakov, Benjamin Wittevrongel, Adrien Combaz, Karl Pauwels, Guy A. Orban, Gert Van Dijck and Arne Robben and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Marc M. Van Hulle

240 papers receiving 3.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marc M. Van Hulle Belgium	35	2.1k	819	730	671	510	258	4.0k
Tomás Ward Ireland	34	1.8k 0.9×	395 0.5×	489 0.7×	489 0.7×	486 1.0×	225	4.5k
Justin Dauwels Singapore	40	3.3k 1.6×	934 1.1×	637 0.9×	914 1.4×	887 1.7×	267	7.0k
Paul Sajda United States	39	3.8k 1.8×	550 0.7×	460 0.6×	472 0.7×	655 1.3×	177	6.0k
Alain Rakotomamonjy France	25	1.8k 0.9×	1.2k 1.4×	1.2k 1.7×	703 1.0×	758 1.5×	63	4.5k
Metin Akay United States	38	1.2k 0.6×	352 0.4×	511 0.7×	503 0.7×	560 1.1×	220	5.4k
Sheng‐Fu Liang Taiwan	27	1.9k 0.9×	334 0.4×	389 0.5×	547 0.8×	439 0.9×	106	3.2k
Marcel van Gerven Netherlands	39	3.5k 1.7×	643 0.8×	649 0.9×	517 0.8×	203 0.4×	149	4.9k
Ganesh R. Naik Australia	39	1.8k 0.8×	405 0.5×	393 0.5×	581 0.9×	723 1.4×	173	4.3k
Wolfgang Rosenstiel Germany	40	2.3k 1.1×	526 0.6×	504 0.7×	926 1.4×	354 0.7×	445	6.2k

Countries citing papers authored by Marc M. Van Hulle

Since Specialization

Citations

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

Fields of papers citing papers by Marc M. Van Hulle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc M. Van Hulle. 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 M. Van Hulle. The network helps show where Marc M. Van Hulle may publish in the future.

Co-authorship network of co-authors of Marc M. Van Hulle

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

Hulle, Marc M. Van, et al.. (2026). EEG-based classification of alzheimer’s disease and frontotemporal dementia using functional connectivity. Scientific Reports. 16(1). 4903–4903.

Reinartz, Mariska, Gabriela Meade, Marc M. Van Hulle, et al.. (2025). EEG-based graph network analysis in relation to regional tau in asymptomatic Alzheimer’s disease. Brain Communications. 7(2). fcaf138–fcaf138. 1 indexed citations

Wittevrongel, Benjamin, et al.. (2025). Speech mode classification from electrocorticography: transfer between electrodes and participants. Journal of Neural Engineering. 22(4). 46033–46033.

Wittevrongel, Benjamin, Ine Dauwe, Evelien Carrette, et al.. (2024). Imagined speech event detection from electrocorticography and its transfer between speech modes and subjects. Communications Biology. 7(1). 818–818. 5 indexed citations

Hulle, Marc M. Van, et al.. (2023). The role of distinct ECoG frequency features in decoding finger movement. Journal of Neural Engineering. 20(6). 66014–66014. 5 indexed citations

Nazari, Soheila, et al.. (2022). Spiking image processing unit based on neural analog of Boolean logic operations. Cognitive Neurodynamics. 17(6). 1649–1660. 1 indexed citations

Hulle, Marc M. Van, et al.. (2022). Neural Networks for Directed Connectivity Estimation in Source-Reconstructed EEG Data. Applied Sciences. 12(6). 2889–2889.

Wittevrongel, Benjamin, et al.. (2022). Analytic beamformer transformation for transfer learning in motion-onset visual evoked potential decoding. Journal of Neural Engineering. 19(2). 26040–26040. 1 indexed citations

Hulle, Marc M. Van, et al.. (2022). Single Finger Trajectory Prediction From Intracranial Brain Activity Using Block-Term Tensor Regression With Fast and Automatic Component Extraction. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 8897–8908. 4 indexed citations

10.

Hulle, Marc M. Van, et al.. (2020). Robust Single-Trial EEG-Based Authentication Achieved with a 2-Stage Classifier. Biosensors. 10(9). 124–124. 12 indexed citations

11.

Wittevrongel, Benjamin, Evelien Carrette, Ine Dauwe, et al.. (2020). Localization of deep brain activity with scalp and subdural EEG. NeuroImage. 223. 117344–117344. 40 indexed citations

12.

Hulle, Marc M. Van, et al.. (2019). Predicting Premature Video Skipping and Viewer Interest from EEG Recordings. Entropy. 21(10). 1014–1014. 14 indexed citations

13.

Combaz, Adrien & Marc M. Van Hulle. (2015). Simultaneous Detection of P300 and Steady-State Visually Evoked Potentials for Hybrid Brain-Computer Interface. PLoS ONE. 10(3). e0121481–e0121481. 28 indexed citations

14.

Dijck, Gert Van, Marc M. Van Hulle, Shane A. Heiney, et al.. (2013). Probabilistic Identification of Cerebellar Cortical Neurones across Species. PLoS ONE. 8(3). e57669–e57669. 30 indexed citations

15.

Pauwels, Karl, et al.. (2010). A cortical architecture on parallel hardware for motion processing in real time. Journal of Vision. 10(10). 18–18. 25 indexed citations

16.

Hulle, Marc M. Van, et al.. (2008). Coding of images of materials by macaque inferior temporal cortical neurons. European Journal of Neuroscience. 27(2). 466–482. 35 indexed citations

17.

Manyakov, Nikolay V. & Marc M. Van Hulle. (2007). Causality analysis of LFPs in micro-electrode arrays based on mutual information.. The European Symposium on Artificial Neural Networks. 447–452. 1 indexed citations

18.

Dijck, Gert Van & Marc M. Van Hulle. (2006). Speeding Up the Wrapper Feature Subset Selection in Regression by Mutual Information Relevance and Redundancy Analysis. Lecture notes in computer science. 4131. 31–40. 28 indexed citations

19.

Mutihac, Radu & Marc M. Van Hulle. (2004). Comparison of principal component analysis and indepedent component analysis for blind source separation. 56(1). 20–32. 10 indexed citations

20.

Mutihac, Radu & Marc M. Van Hulle. (2003). A Comparative Survey on Adaptive Neural Network Algorithms for Independent Component Analysis. 55(1). 43–67. 7 indexed citations

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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