Joost Wagenaar

1.6k total citations
34 papers, 985 citations indexed

About

Joost Wagenaar is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Joost Wagenaar has authored 34 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 16 papers in Cellular and Molecular Neuroscience and 9 papers in Biomedical Engineering. Recurrent topics in Joost Wagenaar's work include EEG and Brain-Computer Interfaces (15 papers), Neuroscience and Neural Engineering (11 papers) and Epilepsy research and treatment (8 papers). Joost Wagenaar is often cited by papers focused on EEG and Brain-Computer Interfaces (15 papers), Neuroscience and Neural Engineering (11 papers) and Epilepsy research and treatment (8 papers). Joost Wagenaar collaborates with scholars based in United States, Poland and United Kingdom. Joost Wagenaar's co-authors include Brian Litt, Gregory A. Worrell, Benjamin H. Brinkmann, Kathryn A. Davis, Douglas J. Weber, Lohith G. Kini, Hoameng Ung, Zachary G. Ives, Charles H. Vite and Edward E. Patterson and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Joost Wagenaar

30 papers receiving 970 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joost Wagenaar United States 17 764 373 364 106 87 34 985
Catalina Alvarado‐Rojas Colombia 15 869 1.1× 405 1.1× 439 1.2× 164 1.5× 114 1.3× 30 1.1k
David Himes Australia 7 822 1.1× 520 1.4× 368 1.0× 54 0.5× 71 0.8× 10 1.1k
Jonas Duun‐Henriksen Denmark 17 725 0.9× 441 1.2× 218 0.6× 60 0.6× 94 1.1× 42 844
Mario Valderrama Colombia 17 1.1k 1.5× 306 0.8× 339 0.9× 52 0.5× 165 1.9× 52 1.3k
Andrew B. Gardner United States 7 734 1.0× 373 1.0× 414 1.1× 39 0.4× 152 1.7× 7 947
L. Litewka Australia 10 658 0.9× 436 1.2× 271 0.7× 36 0.3× 65 0.7× 11 954
Alan Lai Australia 15 477 0.6× 264 0.7× 302 0.8× 38 0.4× 35 0.4× 38 724
Francisco Sales Portugal 16 714 0.9× 476 1.3× 198 0.5× 41 0.4× 199 2.3× 65 1.1k
Jan Cimbálník Czechia 18 1.1k 1.5× 692 1.9× 565 1.6× 27 0.3× 69 0.8× 36 1.4k
M. D’Havé Belgium 19 890 1.2× 320 0.9× 285 0.8× 44 0.4× 180 2.1× 37 1.2k

Countries citing papers authored by Joost Wagenaar

Since Specialization
Citations

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

Fields of papers citing papers by Joost Wagenaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joost Wagenaar. 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 Joost Wagenaar. The network helps show where Joost Wagenaar may publish in the future.

Co-authorship network of co-authors of Joost Wagenaar

This figure shows the co-authorship network connecting the top 25 collaborators of Joost Wagenaar. A scholar is included among the top collaborators of Joost Wagenaar 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 Joost Wagenaar. Joost Wagenaar 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.
Feng, Yanbo, Patryk Orzechowski, Jingxuan Bao, et al.. (2025). Automated cytometric gating with human-level performance using bivariate segmentation. Nature Communications. 16(1). 1576–1576.
2.
Hou, Bojian, et al.. (2025). MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance. PubMed. 2025. 5367–5378.
3.
Ruiz, Oscar E., Joost Wagenaar, Bella Mehta, et al.. (2025). A guide to developing harmonized research workflows in a team science context. Experimental Neurology. 392. 115333–115333.
4.
Xu, Zhida, Erin C. Conrad, Kathryn A. Davis, et al.. (2025). Annotating neurophysiologic data at scale with optimized human input. Journal of Neural Engineering. 22(4). 46003–46003. 1 indexed citations
5.
Xu, Zhida, Patryk Orzechowski, James Spence, et al.. (2025). Pennsieve: A Collaborative Platform for Translational Neuroscience and Beyond. Scientific Data. 12(1). 1834–1834. 1 indexed citations
6.
Pelot, Nicole A., Boshuo Wang, Gene J. Yu, et al.. (2025). Guidance for sharing computational models of neural stimulation: from project planning to publication. Journal of Neural Engineering. 22(2). 21001–21001. 1 indexed citations
7.
Murray, Eleanor, Christian Delles, Patryk Orzechowski, et al.. (2022). Vascular phenotypes in early hypertension. Journal of Human Hypertension. 37(10). 898–906. 5 indexed citations
8.
Baldassano, Steven N., Shawniqua Williams Roberson, Ramani Balu, et al.. (2020). IRIS: A Modular Platform for Continuous Monitoring and Caretaker Notification in the Intensive Care Unit. IEEE Journal of Biomedical and Health Informatics. 24(8). 2389–2397. 11 indexed citations
9.
Davis, Kathryn A., Abba Μ. Krieger, Daniela Minecan, et al.. (2017). The effect of increased intracranial EEG sampling rates in clinical practice. Clinical Neurophysiology. 129(2). 360–367. 18 indexed citations
10.
Ung, Hoameng, Christian Cazares, Ameya C. Nanivadekar, et al.. (2017). Interictal epileptiform activity outside the seizure onset zone impacts cognition. Brain. 140(8). 2157–2168. 102 indexed citations
11.
Ives, Zachary G., et al.. (2015). Looking at Everything in Context. Conference on Innovative Data Systems Research. 4 indexed citations
12.
Davis, Kathryn A., Hoameng Ung, Drausin Wulsin, et al.. (2015). Mining continuous intracranial EEG in focal canine epilepsy: Relating interictal bursts to seizure onsets. Epilepsia. 57(1). 89–98. 20 indexed citations
13.
Wagenaar, Joost, Gregory A. Worrell, Zachary G. Ives, et al.. (2015). Collaborating and Sharing Data in Epilepsy Research. Journal of Clinical Neurophysiology. 32(3). 235–239. 51 indexed citations
14.
Kini, Lohith G., Kathryn A. Davis, & Joost Wagenaar. (2015). Data integration: Combined imaging and electrophysiology data in the cloud. NeuroImage. 124(Pt B). 1175–1181. 39 indexed citations
15.
Janča, Radek, Petr Ježdík, Roman Čmejla, et al.. (2014). Detection of Interictal Epileptiform Discharges Using Signal Envelope Distribution Modelling: Application to Epileptic and Non-Epileptic Intracranial Recordings. Brain Topography. 28(1). 172–183. 99 indexed citations
16.
Bink, Hank, Joost Wagenaar, & Jonathan Viventi. (2013). Data acquisition system for high resolution, multiplexed electrode arrays. 1001–1004. 4 indexed citations
17.
Wagenaar, Joost, Valérie Ventura, & Douglas J. Weber. (2011). State-space decoding of primary afferent neuron firing rates. Journal of Neural Engineering. 8(1). 16002–16002. 24 indexed citations
18.
Bauman, Matthew J., Tim M. Bruns, Joost Wagenaar, Robert A. Gaunt, & Douglas J. Weber. (2011). Online feedback control of functional electrical stimulation using dorsal root ganglia recordings. PubMed. 4. 7246–7249. 6 indexed citations
19.
Wagenaar, Joost, Valérie Ventura, & Douglas J. Weber. (2009). Improved decoding of limb-state feedback from natural sensors. PubMed. 76. 4206–4209. 1 indexed citations
20.
Stein, R. B., Douglas J. Weber, Yoichiro Aoyagi, et al.. (2004). Coding of position by simultaneously recorded sensory neurones in the cat dorsal root ganglion. The Journal of Physiology. 560(3). 883–896. 65 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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