D.N. Velis

1.9k citations
28 papers · 1.6k · h-index 22

Impact in

Papers in

D.N. Velis

28 papers receiving 1.5k citations

Peers

D.N. Velis
Comparison fields: 5 of 87
  • Cognitive Neuroscience 838
  • Psychiatry and Mental health 419
  • Cellular and Molecular Neuroscience 488
  • Endocrine and Autonomic Systems 130
  • Behavioral Neuroscience 66
Replace C. Ajmone-Marsan with:
C. Ajmone-Marsan United States
N. Barbaro United States
Steven N. Roper United States
W. Storm van Leeuwen Netherlands
Christophe C. Jouny United States
R Kerwin United Kingdom
Colin Deransart France
Dániel Fabó Hungary
Marcel A. de Reus Netherlands
Jonathan K. Kleen United States
D.N. Velis relative to C. Ajmone-Marsan United States C. Ajmone-Marsan's profile →
Citations per field
00.5×2×4×6.5×
C. Ajmone-Marsan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside D.N. Velis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D.N. Velis Line = papers co-authored together D.N. Velis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003215
2 2003136
3 1980113
4 2006104
5 1997104
6 200292
7 199091
8 200486
9 199085
10 198768
11 198051
12 200349
13
Epileptic transitions: model predictions and experimental validation.
200545
14 199043
15 199242
16 198040
17 199640
18 199838
19 199931
20 199028

About D.N. Velis

D.N. Velis is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Neural dynamics and brain function (8 papers), Epilepsy research and treatment (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Advanced MRI Techniques and Applications (4 papers), Neuroendocrine regulation and behavior (3 papers), Medical Imaging Techniques and Applications (3 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Cognitive Neuroscience (838 citations), Psychiatry and Mental health (419 citations), Cellular and Molecular Neuroscience (488 citations), Endocrine and Autonomic Systems (130 citations) and Behavioral Neuroscience (66 citations). D.N. Velis has collaborated with scholars based in Netherlands, Germany and Belgium. Frequent 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. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Clinical Neurophysiology, Progress in brain research, Neurosurgery and Epilepsia.

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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