Peter G. Bernad

692 citations
22 papers · 177 · h-index 6

Impact in

    • EEG and Brain-Computer Interfaces
    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • Epilepsy research and treatment
    • Schizophrenia research and treatment

Papers in

Peter G. Bernad

19 papers receiving 159 citations

Peers

Peter G. Bernad
Comparison fields: 5 of 59
  • Cognitive Neuroscience 75
  • Psychiatry and Mental health 58
  • Neurology 24
  • Emergency Medicine 14
  • Virology 5
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Citations per year

Countries citing papers authored by Peter G. Bernad

Since Specialization
Citations

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

Fields of papers citing papers by Peter G. Bernad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter G. Bernad. 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 Peter G. Bernad. The network helps show where Peter G. Bernad may publish in the future.

Co-authors

The 21 scholars most cited alongside Peter G. Bernad, 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 Peter G. Bernad Line = papers co-authored together Peter G. Bernad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199480
2 198929
3 198324
4 19896
5 19875
6 19915
7 19805
8 19913
9 19773
10 20043
11 19862
12 20212
13 19902
14 20012
15
EEG and pesticides.
19892
16 20231
17 20221
18 19891
19 19891
20 20240

About Peter G. Bernad

Peter G. Bernad is a scholar working on Neurology, Infectious Diseases, Psychiatry and Mental health, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 177 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (2 papers), Thyroid Disorders and Treatments (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Parkinson's Disease and Spinal Disorders (2 papers), Epilepsy research and treatment (2 papers), Genetic Neurodegenerative Diseases (2 papers), Autoimmune Neurological Disorders and Treatments (2 papers) and Ophthalmology and Eye Disorders (2 papers). The work is most often cited by research in Cognitive Neuroscience (75 citations), Psychiatry and Mental health (58 citations), Neurology (24 citations), Emergency Medicine (14 citations) and Virology (5 citations). Peter G. Bernad has collaborated with scholars based in United States, Czechia and Slovenia. Frequent co-authors include Frank H. Duffy, John R. Hughes, Patricia L. Cook, Richard S. Young, Edwin L. Zalneraitis, C. Raymond Lake, H. Thomas Ballantine, Vincent P. Perlo, Dennis L. Murphy and Leslie R. Brody. Their work appears in journals such as Biological Psychiatry, Neurology, PEDIATRICS, American Journal of Clinical Pathology and Clinics in Laboratory Medicine.

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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