René Quilodran

3.1k citations
10 papers · 1.3k indexed · 1 hit paper · h-index 8

René Quilodran

10 papers receiving 1.3k citations

Hit Papers

Anatomy of hierarchy: Feedforward and feedback pathways i...4552013202620172021100200300400

Peers

René Quilodran
Comparison fields: 5 of 69
  • Cognitive Neuroscience 1.2k
  • General Decision Sciences 32
  • Cellular and Molecular Neuroscience 284
  • Sensory Systems 34
  • Radiology, Nuclear Medicine and Imaging 147
Replace Marcelo G. Mattar with:
Marcelo G. Mattar United States
Xinying Cai China
Helen C. Barron United Kingdom
Roland E. Suri Switzerland
Tom Binzegger Switzerland
Catherine Hanson United States
Jeremy R. Manning United States
Rishidev Chaudhuri United States
Maxwell Shinn United States
Thomas Akam United Kingdom
René Quilodran relative to Marcelo G. Mattar United States Marcelo G. Mattar's profile →
Citations per field
00.5×4.9×
Marcelo G. Mattar · 1×
Citations per year

Countries citing papers authored by René Quilodran

Since Specialization
Citations

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

Fields of papers citing papers by René Quilodran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

10 of 10 papers shown
#Work
1 2016108
2 201510
3 201453
4 20141
5 20133
6
Anatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortexbreakdown →
2013455
7 201150
8 2010266
9 2008246
10 2007100

About René Quilodran

René Quilodran is a scholar working on Cognitive Neuroscience, Biophysics, Psychiatry and Mental health, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Neural and Behavioral Psychology Studies (4 papers), Functional Brain Connectivity Studies (3 papers), EEG and Brain-Computer Interfaces (2 papers), Memory and Neural Mechanisms (2 papers), Advanced Memory and Neural Computing (2 papers), Advanced Fluorescence Microscopy Techniques (1 paper) and Attention Deficit Hyperactivity Disorder (1 paper). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), General Decision Sciences (32 citations), Cellular and Molecular Neuroscience (284 citations), Sensory Systems (34 citations) and Radiology, Nuclear Medicine and Imaging (147 citations). René Quilodran has collaborated with scholars based in France, Chile and United States. Frequent co-authors include Emmanuel Procyk, Julien Vezoli, Colette Dehay, Kenneth Knoblauch, Pascal Barone, Pierre Misery, Arnaud Falchier, Nikola T. Markov, Henry Kennedy and Cyril Huissoud. Their work appears in journals such as Cerebral Cortex, PLoS Biology, PLoS Computational Biology, Journal of Neuroscience and The Journal of Comparative Neurology.

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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