Greg Krauss

736 citations
9 papers · 616 · h-index 8

Impact in

    • Pain Management and Placebo Effect
    • EEG and Brain-Computer Interfaces
    • Neurobiology of Language and Bilingualism
    • Neural and Behavioral Psychology Studies
    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
  • Physiology top 10%
    • Pain Mechanisms and Treatments

Papers in

Greg Krauss

9 papers receiving 605 citations

Peers

Greg Krauss
Comparison fields: 5 of 59
  • Cognitive Neuroscience 370
  • Physiology 250
  • Neurology 80
  • Psychiatry and Mental health 113
  • Sensory Systems 27
Replace Roger W. Coger with:
Roger W. Coger United States
Carsten Jaeger United States
Vanessa D. Hohn Germany
Monika Klírová Czechia
Alexander M. Benison United States
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Susanne Gräber Germany
G. Franzén Sweden
Latasha Chapman United States
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Citations per field
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Roger W. Coger · 1×
Citations per year

Countries citing papers authored by Greg Krauss

Since Specialization
Citations

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

Fields of papers citing papers by Greg Krauss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Greg Krauss, 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 Greg Krauss Line = papers co-authored together Greg Krauss links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1998196
2 1990126
3 1998110
4 200386
5 199044
6 200032
7 197111
8
Pain-related evoked potentials from parasylvian cortex in humans.
199910
9 19921

About Greg Krauss

Greg Krauss is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Neurology and Molecular Biology, having authored 9 papers that have together received 616 indexed citations. Recurring topics across this work include Epilepsy research and treatment (3 papers), EEG and Brain-Computer Interfaces (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Psychosomatic Disorders and Their Treatments (2 papers), Neuroscience and Music Perception (2 papers), Pain Management and Placebo Effect (2 papers), Dental Anxiety and Anesthesia Techniques (1 paper) and Transcranial Magnetic Stimulation Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (370 citations), Physiology (250 citations), Neurology (80 citations), Psychiatry and Mental health (113 citations) and Sensory Systems (27 citations). Greg Krauss has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Ronald P. Lesser, Matthew Ríos, David T. Chau, Ali Zırh, Fred A. Lenz, Frederick A. Lenz, Robert S. Fisher, Rolf‐Detlef Treede, Barry Gordon and Sumio Uematsu. Their work appears in journals such as Journal of Neurophysiology, Neurology, Stereotactic and Functional Neurosurgery, Zeitschrift für Naturforschung A and Neuroscience Letters.

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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