Vera Dinkelacker

882 citations
26 papers · 637 · h-index 12

Impact in

Papers in

Vera Dinkelacker

26 papers receiving 629 citations

Peers

Vera Dinkelacker
Comparison fields: 5 of 68
  • Psychiatry and Mental health 296
  • Cognitive Neuroscience 327
  • Cellular and Molecular Neuroscience 180
  • Pediatrics, Perinatology and Child Health 135
  • Radiology, Nuclear Medicine and Imaging 150
Replace Jane Adcock with:
Jane Adcock United Kingdom
Virginie Laguitton France
Marc-Antoine d’Albis France
Liankun Ren China
Jan Wagner Germany
David A. Ruhl United States
Christina Grimm Switzerland
Catherine Kleitz France
Garrett P. Banks United States
Sandra Rose United States
Vera Dinkelacker relative to Jane Adcock United Kingdom Jane Adcock's profile →
Citations per field
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Citations per year

Countries citing papers authored by Vera Dinkelacker

Since Specialization
Citations

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

Fields of papers citing papers by Vera Dinkelacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vera Dinkelacker, 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 Vera Dinkelacker Line = papers co-authored together Vera Dinkelacker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014170
2 200376
3 201559
4 200049
5 201049
6 200047
7 201639
8 202036
9 201621
10 202318
11 201515
12 202013
13 202110
14 20217
15 20226
16 20166
17 20223
18 20173
19 20162
20 20212

About Vera Dinkelacker

Vera Dinkelacker is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 637 indexed citations. Recurring topics across this work include Epilepsy research and treatment (13 papers), Face Recognition and Perception (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Functional Brain Connectivity Studies (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Sleep and Wakefulness Research (3 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Psychiatry and Mental health (296 citations), Cognitive Neuroscience (327 citations), Cellular and Molecular Neuroscience (180 citations), Pediatrics, Perinatology and Child Health (135 citations) and Radiology, Nuclear Medicine and Imaging (150 citations). Vera Dinkelacker has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Sophie Dupont, Michel Baulac, Erwin Neher, Romain Valabrègue, Thomas Voets, Séverine Samson, Lionel Thivard, Tobias Moser, Stéphane Lehéricy and Christian E. Elger. Their work appears in journals such as Epilepsia, Epilepsy & Behavior, Clinical Neurophysiology, Sleep Medicine and Journal of Neurophysiology.

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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