P.R. Schuurman

1.5k total citations
42 papers, 940 citations indexed

About

P.R. Schuurman is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, P.R. Schuurman has authored 42 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Neurology, 18 papers in Cellular and Molecular Neuroscience and 8 papers in Neurology. Recurrent topics in P.R. Schuurman's work include Neurological disorders and treatments (37 papers), Parkinson's Disease Mechanisms and Treatments (23 papers) and Neuroscience and Neural Engineering (10 papers). P.R. Schuurman is often cited by papers focused on Neurological disorders and treatments (37 papers), Parkinson's Disease Mechanisms and Treatments (23 papers) and Neuroscience and Neural Engineering (10 papers). P.R. Schuurman collaborates with scholars based in Netherlands, Germany and United Kingdom. P.R. Schuurman's co-authors include Rob M.A. de Bie, Johannes D. Speelman, Pepijn van den Munckhof, Maria Fiorella Contarino, Lo J. Bour, Rens Verhagen, M.A.J. Lourens, E.M.J. Foncke, Paul P. Tak and Frieda A. Koopman and has published in prestigious journals such as PLoS ONE, Neurology and Annals of Neurology.

In The Last Decade

P.R. Schuurman

37 papers receiving 922 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P.R. Schuurman Netherlands 18 732 450 179 152 86 42 940
Harrison C. Walker United States 22 1.0k 1.4× 551 1.2× 256 1.4× 324 2.1× 127 1.5× 76 1.3k
Sheng‐Tzung Tsai Taiwan 16 550 0.8× 230 0.5× 181 1.0× 90 0.6× 65 0.8× 74 741
Christian J. Hartmann Germany 20 954 1.3× 602 1.3× 150 0.8× 433 2.8× 51 0.6× 42 1.2k
S. Henry United States 4 804 1.1× 558 1.2× 149 0.8× 116 0.8× 45 0.5× 9 905
Manuela Pilleri Italy 20 1.1k 1.5× 376 0.8× 214 1.2× 162 1.1× 60 0.7× 35 1.3k
Sandra Boccard United Kingdom 13 365 0.5× 158 0.4× 218 1.2× 198 1.3× 25 0.3× 23 786
F. Kopper Germany 18 1.2k 1.7× 819 1.8× 216 1.2× 278 1.8× 30 0.3× 23 1.5k
Aaron Loh Canada 19 622 0.8× 370 0.8× 215 1.2× 324 2.1× 33 0.4× 46 991
Eduardo Joaquim Lopes Alho Brazil 18 549 0.8× 399 0.9× 113 0.6× 237 1.6× 63 0.7× 43 1.0k
Hemmings Wu China 13 228 0.3× 182 0.4× 106 0.6× 197 1.3× 153 1.8× 37 577

Countries citing papers authored by P.R. Schuurman

Since Specialization
Citations

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

Fields of papers citing papers by P.R. Schuurman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.R. Schuurman. 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 P.R. Schuurman. The network helps show where P.R. Schuurman may publish in the future.

Co-authorship network of co-authors of P.R. Schuurman

This figure shows the co-authorship network connecting the top 25 collaborators of P.R. Schuurman. A scholar is included among the top collaborators of P.R. Schuurman 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 P.R. Schuurman. P.R. Schuurman 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
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Bie, Rob M.A. de, Bernadette C.M. van Wijk, P.R. Schuurman, et al.. (2025). Prediction of STN-DBS outcome in Parkinson’s disease using machine learning. VU Research Portal. 11. 1–9.
3.
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Verbaan, Dagmar, et al.. (2024). The long-term outcome of revision microdiscectomy for recurrent sciatica. European Spine Journal. 33(6). 2206–2212.
5.
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Verbaan, Dagmar, Isidoor O. Bergfeld, Esmée Verwijk, et al.. (2023). Cognitive and psychiatric outcomes in the GALAXY trial: effect of anaesthesia in deep brain stimulation. Journal of Neurology Neurosurgery & Psychiatry. 95(3). 214–221. 3 indexed citations
7.
Swinnen, Bart, Johanna Geytenbeek, Joke M. Dijk, et al.. (2023). Programming Algorithm for the Management of Speech Impairment in Subthalamic Nucleus Deep Brain Stimulation for Parkinson’s Disease. Neuromodulation Technology at the Neural Interface. 27(3). 528–537. 7 indexed citations
8.
Jergas, Hannah, Michael T. Barbe, Vincent J.J. Odekerken, et al.. (2023). Directional versus ring-mode deep brain stimulation for Parkinson’s disease: protocol of a multi-centre double-blind randomised crossover trial. BMC Neurology. 23(1). 372–372.
9.
Swinnen, Bart, Martijn Beudel, P.R. Schuurman, & Rob M.A. de Bie. (2022). Parkinsonism in GPi‐DBS for Dystonia; When to Suspect Degenerative Parkinsonism?. Movement Disorders Clinical Practice. 9(7). 990–991.
10.
Wijk, Bernadette C.M. van, Martijn Beudel, Dan Piña‐Fuentes, et al.. (2022). A comparison of methods to suppress electrocardiographic artifacts in local field potential recordings. Clinical Neurophysiology. 146. 147–161. 15 indexed citations
11.
Verbaan, Dagmar, et al.. (2022). Microdiscectomy for sciatica: reality check study of long-term surgical treatment effects of a Lumbosacral radicular syndrome (LSRS). European Spine Journal. 31(2). 400–407. 2 indexed citations
12.
Graat, Ilse, Roel J. T. Mocking, Pepijn van den Munckhof, et al.. (2022). Tractography-based versus anatomical landmark-based targeting in vALIC deep brain stimulation for refractory obsessive-compulsive disorder. Molecular Psychiatry. 27(12). 5206–5212. 16 indexed citations
13.
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Coenen, Volker A., Thomas E. Schläepfer, Bálint Várkuti, et al.. (2019). Surgical decision making for deep brain stimulation should not be based on aggregated normative data mining. Brain stimulation. 12(6). 1345–1348. 23 indexed citations
15.
Bergfeld, Isidoor O., Anja Lok, Mariska Mantione, et al.. (2019). Long-term deep brain stimulation of the ventral anterior limb of the internal capsule for treatment-resistant depression. Journal of Neurology Neurosurgery & Psychiatry. 91(2). 189–195. 45 indexed citations
16.
Steigerwald, Frank, Jens Volkmann, Cordula Matthies, et al.. (2018). DIRECT DBS: A Prospective, Multi-center Clinical Study with Blinding for a Directional Deep Brain Stimulation (DBS) Lead (P4.068). Neurology. 90(15_supplement). 1 indexed citations
17.
Koning, Pelle P. de, Martijn Figee, E Endert, et al.. (2016). Rapid effects of deep brain stimulation reactivation on symptoms and neuroendocrine parameters in obsessive-compulsive disorder. Translational Psychiatry. 6(1). e722–e722. 24 indexed citations
18.
Bour, Lo J., M.A.J. Lourens, Rens Verhagen, et al.. (2015). Directional Recording of Subthalamic Spectral Power Densities in Parkinson's Disease and the Effect of Steering Deep Brain Stimulation. Brain stimulation. 8(4). 730–741. 49 indexed citations
19.
Contarino, Maria Fiorella, et al.. (2012). Deep Brain Stimulation of the Pallidum is Effective and Might Stabilize Striatal D2 Receptor Binding in Myoclonus–Dystonia. Frontiers in Neurology. 3. 22–22. 22 indexed citations
20.
Speelman, Johannes D., Maria Fiorella Contarino, P.R. Schuurman, Marina A.J. Tijssen, & Rob M.A. de Bie. (2010). Deep brain stimulation for dystonia: patient selection and outcomes. European Journal of Neurology. 17(s1). 102–106. 39 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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