Cornelia Drees

1.1k citations
40 papers · 657 indexed · h-index 14

Impact in

Papers in

Cornelia Drees

36 papers receiving 647 citations

Peers

Cornelia Drees
Comparison fields: 5 of 68
  • Psychiatry and Mental health 397
  • Neurology 214
  • Cellular and Molecular Neuroscience 211
  • Pediatrics, Perinatology and Child Health 205
  • Cognitive Neuroscience 197
Replace Jay R. Gavvala with:
Jay R. Gavvala United States
Malin Maeder‐Ingvar Switzerland
Joyce H. Matsumoto United States
Pierre Bourdillon France
Mark R. Lee United States
Ronald E. Kramer United States
Aimen Kasasbeh United States
Sue Yudovin United States
Annkathrin Poepel Germany
Carlos Morgado Portugal
Cornelia Drees relative to Jay R. Gavvala United States Jay R. Gavvala's profile →
Citations per field
00.5×
Jay R. Gavvala · 1×
Citations per year

Countries citing papers authored by Cornelia Drees

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Drees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202084
2 200878
3 200873
4 200763
5 201245
6 201133
7 202028
8 202125
9 202025
10 201722
11 201720
12 201719
13 199918
14 201614
15 202211
16 201711
17 202110
18 20209
19 20029
20 20246

About Cornelia Drees

Cornelia Drees is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 40 papers that have together received 657 indexed citations. Recurring topics across this work include Epilepsy research and treatment (24 papers), Pharmacological Effects and Toxicity Studies (12 papers), Neurological disorders and treatments (8 papers), EEG and Brain-Computer Interfaces (8 papers), Neuroscience and Neural Engineering (5 papers), Fetal and Pediatric Neurological Disorders (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). The work is most often cited by research in Psychiatry and Mental health (397 citations), Neurology (214 citations), Cellular and Molecular Neuroscience (211 citations), Pediatrics, Perinatology and Child Health (205 citations) and Cognitive Neuroscience (197 citations). Cornelia Drees has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Rama Maganti, Paula Gerber, Steve S. Chung, John Kerrigan, Kevin Chapman, Harold L. Rekate, Erin Prenger, Steven Ojemann, Mesha‐Gay Brown and John A. Thompson. Their work appears in journals such as Epilepsy & Behavior, Neurology, Epilepsia, Journal of neurosurgery and Stereotactic and Functional Neurosurgery.

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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