Erik De Schutter

9.6k citations
209 papers · 6.6k · h-index 42

Impact in

Papers in

Erik De Schutter

200 papers receiving 6.4k citations

Peers

Erik De Schutter
Comparison fields: 5 of 162
  • Neurology 2.1k
  • Sensory Systems 1.0k
  • Cognitive Neuroscience 3.6k
  • Cellular and Molecular Neuroscience 3.2k
  • Endocrine and Autonomic Systems 614
Replace George J Augustine with:
George J Augustine United States
James M. Bower United States
T. J. Sejnowski United States
R. Angus Silver United Kingdom
Egidio D’Angelo Italy
John H. Byrne United States
L. F. Abbott United States
Michael Häusser United Kingdom
Greg J. Stuart Australia
Michael L. Hines United States
Erik De Schutter relative to George J Augustine United States George J Augustine's profile →
Citations per field
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George J Augustine · 1×
Citations per year

Countries citing papers authored by Erik De Schutter

Since Specialization
Citations

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

Fields of papers citing papers by Erik De Schutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik De Schutter. 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 Erik De Schutter. The network helps show where Erik De Schutter may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 209 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994354
2 1995295
3 2006242
4 1994232
5 2006194
6 1998187
7 1994159
8 2005150
9 2015144
10 2018144
11 1995138
12 2001131
13 2007128
14 2013121
15 2003114
16 2008114
17 1999112
18 1997110
19 1999108
20 201296

About Erik De Schutter

Erik De Schutter is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Molecular Biology and Sensory Systems, having authored 209 papers that have together received 6.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (99 papers), Neuroscience and Neuropharmacology Research (71 papers), Vestibular and auditory disorders (67 papers), Hearing, Cochlea, Tinnitus, Genetics (31 papers), Photoreceptor and optogenetics research (16 papers), Neuroscience and Neural Engineering (15 papers), Cell Image Analysis Techniques (14 papers) and Neural Networks and Applications (13 papers). The work is most often cited by research in Neurology (2.1k citations), Sensory Systems (1.0k citations), Cognitive Neuroscience (3.6k citations), Cellular and Molecular Neuroscience (3.2k citations) and Endocrine and Autonomic Systems (614 citations). Erik De Schutter has collaborated with scholars based in Belgium, Japan and United States. Frequent co-authors include James M. Bower, Reinoud Maex, Pablo Achard, Sungho Hong, Bart P. Vos, Stefan Wils, Volker Steuber, Fidel Santamarı́a, George J Augustine and Dieter Jaeger. Their work appears in journals such as BMC Neuroscience, Neurocomputing, Neuroinformatics, Journal of Neurophysiology and European Journal of Neuroscience.

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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