Simon Peron

3.2k citations
20 papers · 2.0k · h-index 13

Impact in

    • Neural dynamics and brain function
    • Memory and Neural Mechanisms
    • Neuroscience and Neural Engineering
    • Neuroscience and Neuropharmacology Research
    • Photoreceptor and optogenetics research
    • Neurobiology and Insect Physiology Research

Papers in

Simon Peron

19 papers receiving 2.0k citations

Peers

Simon Peron
Comparison fields: 5 of 95
  • Cognitive Neuroscience 1.5k
  • Cellular and Molecular Neuroscience 1.3k
  • Biophysics 222
  • Sensory Systems 93
  • Neurology 76
Replace Benjamin Scholl with:
Benjamin Scholl United States
Ning-long Xu China
Daniel J. Denman United States
Timothy J. Blanche United States
Saskia E. J. de Vries United States
Cyrille Rossant United Kingdom
Stephen A. Baccus United States
Çağatay Aydın Belgium
Emmanouil Froudarakis United States
Luis M. Martı́nez Spain
Simon Peron relative to Benjamin Scholl United States Benjamin Scholl's profile →
Citations per field
00.5×1.7×
Benjamin Scholl · 1×
Citations per year

Countries citing papers authored by Simon Peron

Since Specialization
Citations

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

Fields of papers citing papers by Simon Peron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2012389
2 2010378
3 2014290
4 2015231
5 2009118
6 2015110
7 2012107
8 202079
9 201573
10 201068
11 200941
12 200941
13 200628
14 202213
15 20226
16 20235
17 20235
18 20231
19 20131
20 20240

About Simon Peron

Simon Peron is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biophysics, Sensory Systems and Electrical and Electronic Engineering, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (19 papers), Neuroscience and Neural Engineering (11 papers), Photoreceptor and optogenetics research (10 papers), Neurobiology and Insect Physiology Research (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Advanced Memory and Neural Computing (2 papers), Olfactory and Sensory Function Studies (2 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.5k citations), Cellular and Molecular Neuroscience (1.3k citations), Biophysics (222 citations), Sensory Systems (93 citations) and Neurology (76 citations). Simon Peron has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Karel Svoboda, Daniel R. Huber, Daniel H. O’Connor, Fabrizio Gabbiani, Diego Adrian Gutnisky, Jeremy Freeman, Vijay Iyer, Caiying Guo, Lin Tian and Thomas G. Oertner. Their work appears in journals such as Neuron, Nature, Nature Communications, Current Biology and eNeuro.

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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