Simon Peron

3.1k citations
17 papers · 1.7k indexed · h-index 12

Simon Peron

16 papers receiving 1.7k citations

Peers

Simon Peron
Comparison fields: 5 of 88
  • Cognitive Neuroscience 1.3k
  • Cellular and Molecular Neuroscience 1.2k
  • Biophysics 175
  • Sensory Systems 92
  • Neurology 74
Replace Benjamin Scholl with:
Benjamin Scholl United States
Diego A. Gutnisky United States
Ning-long Xu China
Stephen A. Baccus United States
Luis M. Martı́nez Spain
Robert N. S. Sachdev United States
Vincent Bonin United States
Ashley Juavinett United States
Spencer L. Smith United States
Kenichi Ohki Japan
Simon Peron relative to Benjamin Scholl United States Benjamin Scholl's profile →
Citations per field
00.5×1.6×
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-authorship network

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

17 of 17 papers shown
#Work
1 20233
2 20233
3 20230
4 20229
5 20225
6 202069
7 2015209
8 201565
9 2014277
10 2012104
11 2012359
12 201058
13 2010355
14 200938
15 200937
16 2009112
17 200624

About Simon Peron

Simon Peron is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Sensory Systems, Biophysics and Electrical and Electronic Engineering, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (17 papers), Neuroscience and Neural Engineering (10 papers), Photoreceptor and optogenetics research (8 papers), Neurobiology and Insect Physiology Research (3 papers), Retinal Development and Disorders (2 papers), Olfactory and Sensory Function Studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Cellular and Molecular Neuroscience (1.2k citations), Biophysics (175 citations), Sensory Systems (92 citations) and Neurology (74 citations). Simon Peron has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Karel Svoboda, Daniel Huber, Daniel H. O’Connor, Fabrizio Gabbiani, Diego A. Gutnisky, Jeremy Freeman, V. Iyer, Caiying Guo, J. Simon Wiegert and Lin Tian. Their work appears in journals such as Neuron, Nature Communications, Nature, Nature Methods and Biological Cybernetics.

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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