Wessel Woldman

446 total citations
18 papers, 277 citations indexed

About

Wessel Woldman is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Wessel Woldman has authored 18 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 6 papers in Psychiatry and Mental health and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Wessel Woldman's work include Functional Brain Connectivity Studies (13 papers), Neural dynamics and brain function (9 papers) and EEG and Brain-Computer Interfaces (8 papers). Wessel Woldman is often cited by papers focused on Functional Brain Connectivity Studies (13 papers), Neural dynamics and brain function (9 papers) and EEG and Brain-Computer Interfaces (8 papers). Wessel Woldman collaborates with scholars based in United Kingdom, Australia and Singapore. Wessel Woldman's co-authors include John R. Terry, Mark P. Richardson, Fahmida A Chowdhury, Thomas H. B. FitzGerald, Lina Nashef, Robert Elwes, Marc Goodfellow, Mark Cook, Helmut Schmidt and Sharon Jewell and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Wessel Woldman

16 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wessel Woldman United Kingdom	9	216	123	62	20	17	18	277
Giulia Varotto Italy	11	332 1.5×	136 1.1×	94 1.5×	40 2.0×	9 0.5×	19	441
Malenka Mader Germany	10	234 1.1×	148 1.2×	120 1.9×	16 0.8×	9 0.5×	12	312
Radek Janča Czechia	8	230 1.1×	106 0.9×	119 1.9×	17 0.8×	7 0.4×	32	326
Dana Boatman‐Reich United States	11	327 1.5×	53 0.4×	39 0.6×	32 1.6×	10 0.6×	16	357
Rodrigo Zepeda United States	7	413 1.9×	156 1.3×	150 2.4×	52 2.6×	18 1.1×	19	546
Luke Tait United Kingdom	8	248 1.1×	47 0.4×	32 0.5×	26 1.3×	6 0.4×	14	300
C E Elger Germany	4	263 1.2×	130 1.1×	81 1.3×	8 0.4×	44 2.6×	7	365
Woorim Jeong South Korea	11	345 1.6×	144 1.2×	85 1.4×	54 2.7×	4 0.2×	21	418
Robert B. Yaffe United States	6	429 2.0×	96 0.8×	123 2.0×	37 1.9×	17 1.0×	7	458
Marinho A. Lopes United Kingdom	10	208 1.0×	65 0.5×	48 0.8×	27 1.4×	38 2.2×	18	247

Countries citing papers authored by Wessel Woldman

Since Specialization

Citations

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

Fields of papers citing papers by Wessel Woldman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wessel Woldman

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

All Works

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18 of 18 papers shown

Woldman, Wessel, et al.. (2024). Associating EEG functional networks and the effect of sleep deprivation as measured using psychomotor vigilance tests. Scientific Reports. 14(1). 27999–27999.

Terry, John R., et al.. (2024). Treatment effects in epilepsy: a mathematical framework for understanding response over time. SHILAP Revista de lepidopterología. 4. 1308501–1308501.

Tait, Luke, David Martín-López, Matthew C. Walker, et al.. (2024). Estimating the likelihood of epilepsy from clinically noncontributory electroencephalograms using computational analysis: A retrospective, multisite case–control study. Epilepsia. 65(8). 2459–2469. 4 indexed citations

Woldman, Wessel, et al.. (2023). Classification of human chronotype based on fMRI network-based statistics. Frontiers in Neuroscience. 17. 1147219–1147219. 3 indexed citations

Walker, Jamie J., Udaya Seneviratne, Wendyl D’Souza, et al.. (2023). Circadian distribution of epileptiform discharges in epilepsy: Candidate mechanisms of variability. PLoS Computational Biology. 19(10). e1010508–e1010508. 4 indexed citations

Cao, Miao, Simon J. Vogrin, Sara Vogrin, et al.. (2022). Virtual intracranial EEG signals reconstructed from MEG with potential for epilepsy surgery. Nature Communications. 13(1). 994–994. 22 indexed citations

Woldman, Wessel, et al.. (2022). Neural Field Models: A mathematical overview and unifying framework. arXiv (Cornell University). Volume 2. 22 indexed citations

Bowden, Stephen C., et al.. (2021). Resting-state functional connectivity in the idiopathic generalized epilepsies: A systematic review and meta-analysis of EEG and MEG studies. Epilepsy & Behavior. 124. 108336–108336. 10 indexed citations

Bowden, Stephen C., et al.. (2021). Source data from a systematic review and meta-analysis of EEG and MEG studies investigating functional connectivity in idiopathic generalized epilepsy. SHILAP Revista de lepidopterología. 39. 107665–107665. 3 indexed citations

10.

Woldman, Wessel, et al.. (2021). A Review of Network and Computer Analysis of Epileptiform Discharge Free EEG to Characterize and Detect Epilepsy. Clinical EEG and Neuroscience. 53(1). 74–78. 4 indexed citations

11.

Woldman, Wessel, Helmut Schmidt, Eugenio Abela, et al.. (2020). Dynamic network properties of the interictal brain determine whether seizures appear focal or generalised. Scientific Reports. 10(1). 7043–7043. 21 indexed citations

12.

Lopes, Marinho A., et al.. (2020). The Role of Excitability and Network Structure in the Emergence of Focal and Generalized Seizures. Frontiers in Neurology. 11. 74–74. 15 indexed citations

13.

Woldman, Wessel, et al.. (2020). Epilepsy surgery: Evaluating robustness using dynamic network models. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(11). 113106–113106. 9 indexed citations

14.

McLean, Brendan, et al.. (2020). EEG Markers in Emotionally Unstable Personality Disorder—A Possible Outcome Measure for Neurofeedback: A Narrative Review. Clinical EEG and Neuroscience. 52(4). 254–273. 6 indexed citations

15.

Woldman, Wessel, Mark Cook, & John R. Terry. (2019). Evolving dynamic networks: An underlying mechanism of drug resistance in epilepsy?. Epilepsy & Behavior. 94. 264–268. 20 indexed citations

16.

Beck, R., Jonathan Laugharne, Richard Laugharne, et al.. (2017). Abnormal cortical asymmetry as a target for neuromodulation in neuropsychiatric disorders: A narrative review and concept proposal. Neuroscience & Biobehavioral Reviews. 83. 21–31. 3 indexed citations

17.

Schmidt, Helmut, Wessel Woldman, Marc Goodfellow, et al.. (2016). A computational biomarker of idiopathic generalized epilepsy from resting state EEG. Epilepsia. 57(10). e200–e204. 46 indexed citations

18.

Chowdhury, Fahmida A, Wessel Woldman, Thomas H. B. FitzGerald, et al.. (2014). Revealing a Brain Network Endophenotype in Families with Idiopathic Generalised Epilepsy. PLoS ONE. 9(10). e110136–e110136. 85 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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