Johannes van Dijk

10.9k total citations
310 papers, 8.2k citations indexed

About

Johannes van Dijk is a scholar working on Immunology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Johannes van Dijk has authored 310 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Immunology, 64 papers in Biomedical Engineering and 42 papers in Molecular Biology. Recurrent topics in Johannes van Dijk's work include Complement system in diseases (33 papers), Muscle activation and electromyography studies (31 papers) and EEG and Brain-Computer Interfaces (30 papers). Johannes van Dijk is often cited by papers focused on Complement system in diseases (33 papers), Muscle activation and electromyography studies (31 papers) and EEG and Brain-Computer Interfaces (30 papers). Johannes van Dijk collaborates with scholars based in Netherlands, Germany and United States. Johannes van Dijk's co-authors include R.P. Labadie, Machiel J. Zwarts, Dick F. Stegeman, J. Verhoef, Bernd G. Lapatki, Jan M.N. Willers, André Fleer, Cees J. Beukelman, A. Fleer and J.P.A.M. Klerx and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Johannes van Dijk

296 papers receiving 7.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johannes van Dijk Netherlands 49 1.4k 1.4k 1.1k 1.0k 874 310 8.2k
Shuji Hashimoto Japan 50 1.3k 0.9× 1.2k 0.8× 432 0.4× 1.4k 1.4× 617 0.7× 605 10.5k
Weiya Zhang United Kingdom 69 2.0k 1.4× 2.0k 1.4× 994 0.9× 1.1k 1.1× 529 0.6× 359 22.2k
Jue Zhang China 55 2.0k 1.4× 2.8k 2.0× 344 0.3× 674 0.7× 460 0.5× 461 12.6k
Juneyoung Lee South Korea 61 1.3k 0.9× 2.6k 1.9× 707 0.7× 2.6k 2.5× 410 0.5× 530 14.7k
Alan Murray United Kingdom 54 2.5k 1.7× 1.1k 0.8× 464 0.4× 1.1k 1.1× 981 1.1× 462 11.2k
Sheng Chen China 61 1.2k 0.8× 5.1k 3.7× 782 0.7× 1.4k 1.3× 380 0.4× 695 17.5k
Kôji Yamada Japan 51 714 0.5× 1.7k 1.2× 576 0.5× 306 0.3× 175 0.2× 427 9.2k
Gang Chen China 56 1.1k 0.7× 4.9k 3.5× 1.4k 1.3× 1.0k 1.0× 433 0.5× 512 13.0k
Takashi Yamane Japan 40 1.1k 0.8× 2.7k 1.9× 383 0.4× 1.4k 1.4× 275 0.3× 377 8.1k
Paul A. Friedman United States 76 1.2k 0.9× 2.6k 1.9× 288 0.3× 2.3k 2.3× 757 0.9× 730 25.3k

Countries citing papers authored by Johannes van Dijk

Since Specialization
Citations

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

Fields of papers citing papers by Johannes van Dijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johannes van Dijk. 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 Johannes van Dijk. The network helps show where Johannes van Dijk may publish in the future.

Co-authorship network of co-authors of Johannes van Dijk

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes van Dijk. A scholar is included among the top collaborators of Johannes van Dijk 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 Johannes van Dijk. Johannes van Dijk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dijk, Johannes van, et al.. (2025). Detection of nocturnal epileptic seizures using a wearable armband: A deep learning approach combining accelerometry and photoplethysmography signals. Computer Methods and Programs in Biomedicine. 273. 109087–109087.
2.
Papini, Gabriele B., Pedro Fonseca, Sebastiaan Overeem, et al.. (2024). Quantitative validation of the suprasternal pressure signal to assess respiratory effort during sleep. Physiological Measurement. 45(5). 55020–55020.
3.
4.
Wagner, Louis, et al.. (2024). Global motor dynamics - Invariant neural representations of motor behavior in distributed brain-wide recordings. Journal of Neural Engineering. 21(5). 56034–56034. 2 indexed citations
5.
Meulen, Fokke van, Sebastiaan Overeem, Merel M. van Gilst, et al.. (2023). Contactless Camera-Based Sleep Staging: The HealthBed Study. Bioengineering. 10(1). 109–109. 27 indexed citations
6.
Colon, Albert, Louis Wagner, Simon Tousseyn, et al.. (2023). Decoding executed and imagined grasping movements from distributed non-motor brain areas using a Riemannian decoder. Frontiers in Neuroscience. 17. 1283491–1283491. 3 indexed citations
7.
Ye, Tianchun, Xi Long, Ronald M. Aarts, et al.. (2022). A Two-Layer Ensemble Method for Detecting Epileptic Seizures Using a Self-Annotation Bracelet With Motor Sensors. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 18 indexed citations
8.
Pel, Johan J. M., Marlou J. G. Kooiker, Johannes van Dijk, et al.. (2022). Clinical Utility of Eye Tracking in Assessing Distractibility in Children with Neurological Disorders or ADHD: A Cross-Sectional Study. Brain Sciences. 12(10). 1369–1369. 6 indexed citations
9.
Wang, Ying, Ivan C. Zibrandtsen, R.H.C. Lazeron, et al.. (2021). Pitfalls in EEG Analysis in Patients With Nonconvulsive Status Epilepticus: A Preliminary Study. Clinical EEG and Neuroscience. 54(3). 255–264.
10.
Andel, Judith van, Constantin Ungureanu, Johan Arends, et al.. (2017). Multimodal, automated detection of nocturnal motor seizures at home: Is a reliable seizure detector feasible?. Epilepsia Open. 2(4). 424–431. 47 indexed citations
11.
Gligorijević, Ivan, Maarten De Vos, Joleen H. Blok, et al.. (2011). Automated way to obtain motor units' signatures and estimate their firing patterns during voluntary contractions using HD-sEMG. PubMed. 80. 4090–4093. 4 indexed citations
12.
Brouwer, Dannis Michel, et al.. (2009). Scale-up for model verification; design, modeling and control of an elastic parallel kinematic 6-DOFs manipulator. University of Twente Research Information. 49(5). 42–47. 1 indexed citations
13.
Dijk, Johannes van, et al.. (2003). Subspace based identifcation and control of one-degree-of-freedom vibration isolation set-up. University of Twente Research Information. 241–246.
14.
Dijk, Johannes van, Manuel Aivado, Michel Delforge, et al.. (2001). Analysis of clonality by HUMARA PCR in high risk MDS patients before and after intensive anti-leukemic treatment. Blood. 98(11). 1 indexed citations
15.
Kündgen, Andrea, Manuel Aivado, Johannes van Dijk, et al.. (2001). Are AClonal@ X-chromosome inactivation patterns of T cells in MDS dependent on disease duration ? Evaluation of 117 patients with MDS. Blood. 98(11). 1 indexed citations
16.
Rijkers, Ger T., et al.. (1995). Deficient antipneumococcal polysaccharide responses in HIV-seropositive patients. FEMS Immunology & Medical Microbiology. 12(1). 33–41. 21 indexed citations
17.
Hol, Cees, et al.. (1994). Protective effects of orally administered, Klebsiella-containing bacterial lysates in mice. FEMS Immunology & Medical Microbiology. 8(1). 69–76. 10 indexed citations
18.
Hol, Cees, Peter Bloembergen, & Johannes van Dijk. (1993). Bacterium-Induced Autoimmune Reactivity. Autoimmunity. 15(1). 49–54. 6 indexed citations
19.
Berg, Carmen W. van den, et al.. (1990). Functional assay of C5-activating and nonactivating cobra venom factor preparations in the mouse system. Journal of Immunological Methods. 133(2). 199–206. 7 indexed citations
20.
Dijk, Johannes van, et al.. (1987). Gids voor moderne architectuur in Nederland.

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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