D.N. Velis

1.9k total citations
29 papers, 1.5k citations indexed

About

D.N. Velis is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, D.N. Velis has authored 29 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 9 papers in Psychiatry and Mental health and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in D.N. Velis's work include EEG and Brain-Computer Interfaces (17 papers), Neural dynamics and brain function (12 papers) and Epilepsy research and treatment (9 papers). D.N. Velis is often cited by papers focused on EEG and Brain-Computer Interfaces (17 papers), Neural dynamics and brain function (12 papers) and Epilepsy research and treatment (9 papers). D.N. Velis collaborates with scholars based in Netherlands, Germany and Poland. D.N. Velis's co-authors include Stiliyan Kalitzin, J. Parra, Piotr Suffczyński, Dick F. Swaab, Ruud M. Buijs, W. Blanes, W. van Emde Boas, J.P. Pijn, R. M. Chr. Debets and P. C. G. Nijssen and has published in prestigious journals such as NeuroImage, Brain and IEEE Transactions on Biomedical Engineering.

In The Last Decade

D.N. Velis

29 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.N. Velis Netherlands 22 941 536 416 171 156 29 1.5k
N. Barbaro United States 18 2.2k 2.3× 1.1k 2.1× 609 1.5× 67 0.4× 68 0.4× 30 3.2k
Isabel Jorquera France 21 770 0.8× 1.5k 2.7× 215 0.5× 52 0.3× 77 0.5× 21 2.1k
Steven N. Roper United States 33 1.1k 1.1× 1.3k 2.5× 969 2.3× 70 0.4× 89 0.6× 88 3.1k
Fred A. Lado United States 23 1.4k 1.5× 959 1.8× 667 1.6× 26 0.2× 44 0.3× 43 2.3k
Simon‐Shlomo Poil Netherlands 14 1.3k 1.4× 229 0.4× 199 0.5× 23 0.1× 135 0.9× 17 1.6k
William J. Nowack United States 14 553 0.6× 272 0.5× 190 0.5× 71 0.4× 53 0.3× 41 934
Markus Butz Germany 29 1.5k 1.6× 1.2k 2.3× 172 0.4× 76 0.4× 81 0.5× 78 2.8k
Ferruccio Panzica Italy 30 1.2k 1.3× 1.1k 2.1× 730 1.8× 30 0.2× 26 0.2× 114 2.6k
Colin Deransart France 21 1.2k 1.3× 1.7k 3.1× 716 1.7× 55 0.3× 30 0.2× 31 2.4k
Dániel Fabó Hungary 18 1.3k 1.4× 669 1.2× 312 0.8× 28 0.2× 23 0.1× 80 1.7k

Countries citing papers authored by D.N. Velis

Since Specialization
Citations

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

Fields of papers citing papers by D.N. Velis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.N. Velis. 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 D.N. Velis. The network helps show where D.N. Velis may publish in the future.

Co-authorship network of co-authors of D.N. Velis

This figure shows the co-authorship network connecting the top 25 collaborators of D.N. Velis. A scholar is included among the top collaborators of D.N. Velis 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 D.N. Velis. D.N. Velis 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.
Petkov, George, et al.. (2012). Electroencephalographic events prior to epileptic major motor seizures. PubMed. 2012. 1028–1031. 2 indexed citations
2.
Kalitzin, Stiliyan, Maeike Zijlmans, George Petkov, et al.. (2012). Quantification of spontaneous and evoked HFO's in SEEG recording and prospective for pre-surgical diagnostics. Case study. PubMed. 2012. 1024–1027. 12 indexed citations
3.
Douw, Linda, Johannes C. Baayen, Martin Klein, et al.. (2009). Functional connectivity in the brain before and during intra-arterial amobarbital injection (Wada test). NeuroImage. 46(3). 584–588. 20 indexed citations
4.
Suffczyński, Piotr, J. Parra, D.N. Velis, et al.. (2006). Dynamics of Epileptic Phenomena Determined From Statistics of Ictal Transitions. IEEE Transactions on Biomedical Engineering. 53(3). 524–532. 95 indexed citations
5.
Suffczyński, Piotr, et al.. (2005). Epileptic transitions: model predictions and experimental validation.. PubMed. 22(5). 288–99. 42 indexed citations
6.
Kalitzin, Stiliyan, et al.. (2004). Electrical brain-stimulation paradigm for estimating the seizure onset site and the time to ictal transition in temporal lobe epilepsy. Clinical Neurophysiology. 116(3). 718–728. 82 indexed citations
7.
Ent, Dennis van ‘t, Ilonka Manshanden, Pauly Ossenblok, et al.. (2003). Spike cluster analysis in neocortical localization related epilepsy yields clinically significant equivalent source localization results in magnetoencephalogram (MEG). Clinical Neurophysiology. 114(10). 1948–1962. 48 indexed citations
8.
Blanes, W., et al.. (2003). Dynamical diseases of brain systems: different routes to epileptic seizures. IEEE Transactions on Biomedical Engineering. 50(5). 540–548. 194 indexed citations
9.
10.
Kalitzin, Stiliyan, et al.. (2002). Correlation-based alignment of multichannel signals and application to paroxysmal events. IEEE Transactions on Biomedical Engineering. 49(9). 1068–1070. 2 indexed citations
11.
Kalitzin, Stiliyan, et al.. (2002). Enhancement of phase clustering in the EEG/MEG gamma frequency band anticipates transitions to paroxysmal epileptiform activity in epileptic patients with known visual sensitivity. IEEE Transactions on Biomedical Engineering. 49(11). 1279–1286. 86 indexed citations
12.
Ossenblok, Pauly, et al.. (1999). Source analysis of lesional frontal-lobe epilepsy. IEEE Engineering in Medicine and Biology Magazine. 18(3). 67–77. 21 indexed citations
13.
Brekelmans, Geert J.F., et al.. (1998). Comparison of Combined Versus Subdural or Intracerebral Electrodes Alone in Presurgical Focus Localization. Epilepsia. 39(12). 1290–1301. 35 indexed citations
14.
Pijn, J.P., et al.. (1997). Alpha rhythms: noise, dynamics and models. International Journal of Psychophysiology. 26(1-3). 237–249. 100 indexed citations
15.
Sadzot, Bernard, R. M. Chr. Debets, Pierre Maquet, et al.. (1992). Regional brain glucose metabolism in patients with complex partial seizures investigated by intracranial EEG. Epilepsy Research. 12(2). 121–129. 40 indexed citations
16.
Debets, R. M. Chr., Pierre Maquet, Alexander C. van Huffelen, et al.. (1990). Quantitative Analysis of 18/FDG-PET in the Presurgical Evaluation of Patients Suffering from Refractory Partial Epilepsy. PubMed. 50. 88–94. 27 indexed citations
17.
Trenité, Dorothée Kasteleijn‐Nolst, Andries Smit, D.N. Velis, J. Willemse, & W. van Emde Boas. (1990). On‐Line Detection of Transient Neuropsychological Disturbances During Eeg Discharges in Children with Epilepsy. Developmental Medicine & Child Neurology. 32(1). 46–50. 39 indexed citations
18.
Debets, R. M. Chr., Alexander C. van Huffelen, W. van Emde Boas, et al.. (1990). Combined use of subdural and intracerebral electrodes in preoperative evaluation of epilepsy. Neurosurgery. 26(1). 93–93. 84 indexed citations
19.
Buijs, Ruud M., D.N. Velis, & Dick F. Swaab. (1980). Ontogeny of vasopressin and oxytocin in the fetal rat: Early vasopressinergic innervation of the fetal brain. Peptides. 1(4). 315–324. 104 indexed citations
20.
Boer, Gerard J., Dick F. Swaab, H.B.M. Uylings, et al.. (1980). Neuropeptides in Rat Brain Development. Progress in brain research. 53. 207–227. 43 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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