Larry Cauller

855 citations
9 papers · 563 · h-index 8

Impact in

    • Neural dynamics and brain function
    • EEG and Brain-Computer Interfaces
    • Visual perception and processing mechanisms
    • Functional Brain Connectivity Studies
    • Neuroscience and Neuropharmacology Research
    • Neuroscience and Neural Engineering
    • Photoreceptor and optogenetics research

Papers in

Larry Cauller

9 papers receiving 546 citations

Peers

Larry Cauller
Comparison fields: 5 of 91
  • Cognitive Neuroscience 360
  • Cellular and Molecular Neuroscience 235
  • Structural Biology 14
  • Biophysics 54
  • Developmental Neuroscience 17
Replace Pablo Rubio‐Garrido with:
Pablo Rubio‐Garrido Spain
Victoria X. Wang United States
Detlef Friedrichs Germany
Christian J. Niedworok United Kingdom
Webster Guan United States
James Anstey United States
Chentao Wen Japan
Julia Ledderose Germany
Qiuyuan Zhong China
Natalya Korogod Switzerland
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Citations per field
00.5×3.5×
Pablo Rubio‐Garrido · 1×
Citations per year

Countries citing papers authored by Larry Cauller

Since Specialization
Citations

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

Fields of papers citing papers by Larry Cauller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Larry Cauller, 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 Larry Cauller Line = papers co-authored together Larry Cauller links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1995162
2 1998159
3 1991112
4 198665
5 198842
6 20117
7 20067
8 19837
9 20062

About Larry Cauller

Larry Cauller is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Neurology, having authored 9 papers that have together received 563 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (4 papers), Neural dynamics and brain function (4 papers), EEG and Brain-Computer Interfaces (3 papers), Muscle activation and electromyography studies (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Analog and Mixed-Signal Circuit Design (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Transcranial Magnetic Stimulation Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (360 citations), Cellular and Molecular Neuroscience (235 citations), Structural Biology (14 citations), Biophysics (54 citations) and Developmental Neuroscience (17 citations). Larry Cauller has collaborated with scholars based in United States. Frequent co-authors include Albert T. Kulics, Barbara Clancy, Jeong‐Bong Lee, Mario I. Romero‐Ortega, Timothy J. Teyler, Gareth A. Hughes, Navzer D. Engineer, Scott C. Armstrong, Richard L. Weiner and Sunghoon Cho. Their work appears in journals such as Experimental Brain Research, Neuromodulation Technology at the Neural Interface, Behavioural Brain Research, Journal of Neuroscience Methods and Brain Research Bulletin.

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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