Steven Gluf

1.4k citations
3 papers · 588 · 1 hit paper · h-index 3

Impact in

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

Papers in

Steven Gluf

3 papers receiving 585 citations

Steven Gluf's Hit Papers

Single-trial neural dynamics are dominated by richly varied movements 2019 · 557 citations
5570+2+4Years since publication100200300400500

Peers

Steven Gluf
Comparison fields: 5 of 56
  • Cognitive Neuroscience 501
  • Cellular and Molecular Neuroscience 293
  • Sensory Systems 42
  • Aging 8
  • Biophysics 22
Replace Patricia Correia with:
Patricia Correia France
Niccolò Bonacchi Portugal
Péter Buzás Hungary
Jennifer L. Hoy United States
Tsukasa Kamigaki United States
Maya Odagawa Japan
Shuting Han United States
Gen‐ichi Tasaka Israel
Maxwell H. Turner United States
Sam Merlin Australia
Steven Gluf relative to Patricia Correia France Patricia Correia's profile →
Citations per field
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Patricia Correia · 1×
Citations per year

Countries citing papers authored by Steven Gluf

Since Specialization
Citations

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

Fields of papers citing papers by Steven Gluf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Steven Gluf, 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 Steven Gluf Line = papers co-authored together Steven Gluf links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About Steven Gluf

Steven Gluf is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Infectious Diseases, Organic Chemistry and Surgery, having authored 3 papers that have together received 588 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Functional Brain Connectivity Studies (2 papers), EEG and Brain-Computer Interfaces (2 papers), Memory and Neural Mechanisms (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (501 citations), Cellular and Molecular Neuroscience (293 citations), Sensory Systems (42 citations), Aging (8 citations) and Biophysics (22 citations). Steven Gluf has collaborated with scholars based in United States and Germany. Frequent co-authors include Simon Musall, Anne K. Churchland, Ashley Juavinett, Matthew T. Kaufman, Xiaonan Richard Sun, Shu-Jing Li, Björn M. Kampa, Hemanth Mohan, Xu An and Rhonda Drewes. Their work appears in journals such as Nature Neuroscience and Neuron.

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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