Vera Dinkelacker

903 citations
26 papers · 663 · h-index 12

Impact in

Papers in

Vera Dinkelacker

26 papers receiving 648 citations

Peers

Vera Dinkelacker
Comparison fields: 5 of 62
  • Psychiatry and Mental health 247
  • Cognitive Neuroscience 288
  • Cellular and Molecular Neuroscience 145
  • Radiology, Nuclear Medicine and Imaging 109
  • Pediatrics, Perinatology and Child Health 88
Replace Marc-Antoine d’Albis with:
Marc-Antoine d’Albis France
Virginie Laguitton France
Christina Grimm Switzerland
Liankun Ren China
Jan Wagner Germany
Sarah von Spiczak Germany
Anna Volzone Italy
Romina Romaniello Italy
Jeffrey M. Treiber United States
Diane C. Lanham United States
Vera Dinkelacker relative to Marc-Antoine d’Albis France Marc-Antoine d’Albis's profile →
Citations per field
00.5×3.2×
Marc-Antoine d’Albis · 1×
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 2014175
2 200381
3 201559
4 201051
5 200051
6 200048
7 202041
8 201640
9 201622
10 202319
11 201515
12 202013
13 202111
14 20219
15 20226
16 20166
17 20223
18 20173
19 20212
20 20162

About Vera Dinkelacker

Vera Dinkelacker is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology and Neurology, having authored 26 papers that have together received 663 indexed citations. Recurring topics across this work include Epilepsy research and treatment (11 papers), Face Recognition and Perception (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Functional Brain Connectivity Studies (3 papers), Evolutionary Psychology and Human Behavior (2 papers), Cellular transport and secretion (2 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Psychiatry and Mental health (247 citations), Cognitive Neuroscience (288 citations), Cellular and Molecular Neuroscience (145 citations), Radiology, Nuclear Medicine and Imaging (109 citations) and Pediatrics, Perinatology and Child Health (88 citations). Vera Dinkelacker has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Sophie Dupont, Michel Baulac, Tobias Moser, Erwin Neher, Thomas Voets, Lionel Thivard, Stéphane Lehéricy, Séverine Samson, Romain Valabrègue and Christian E. Elger. Their work appears in journals such as Epilepsia, Epilepsy & Behavior, Clinical Neurophysiology, Sleep Medicine and Social Cognitive and Affective Neuroscience.

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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