Nicolas Vachicouras

2.0k citations
16 papers · 623 indexed · 1 hit paper · h-index 9
Topics
Neuroscience and Neural Engineering (9 papers)Advanced Sensor and Energy Harvesting Materials (7 papers)Hearing Loss and Rehabilitation (5 papers)

In The Last Decade

Nicolas Vachicouras

16 papers receiving 615 citations

Hit Papers

Viscoelastic surface electrode arrays to interface with v...2021202620222024202150100150200

Peers

Nicolas Vachicouras
Comparison fields: 5 of 74
  • Cellular and Molecular Neuroscience 342
  • Biomedical Engineering 338
  • Cognitive Neuroscience 205
  • Polymers and Plastics 158
  • Electrical and Electronic Engineering 116
Replace Changkyun Im with:
Changkyun Im South Korea
Alix Trouillet United States
Florian Fallegger Switzerland
Josef Goding United Kingdom
David A. X. Nayagam Australia
Kang‐Il Song South Korea
Anthony Banks United States
Kum Seok Nam South Korea
Qifeng Lu China
Nicolas Vachicouras relative to Changkyun Im South Korea Changkyun Im's profile →
Citations per field
00.5×1.5×
Changkyun Im · 1×
Citations per year

Countries citing papers authored by Nicolas Vachicouras

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Vachicouras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Vachicouras

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Vachicouras. A scholar is included among the top collaborators of Nicolas Vachicouras based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicolas Vachicouras. Nicolas Vachicouras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 5
2
Viscoelastic surface electrode arrays to interface with viscoelastic tissuesbreakdown →
240
3 7
4 46
5 90
6 3
7 6
8 7
9 60
10 48
11 2
12 14
13 29
14 33
15 32
16 1

About Nicolas Vachicouras

Nicolas Vachicouras is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 16 papers that have together received 623 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (9 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Hearing Loss and Rehabilitation (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (342 citations), Polymers and Plastics (158 citations) and Cognitive Neuroscience (205 citations). Nicolas Vachicouras has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Stéphanie P. Lacour, Florian Fallegger, Christina M. Tringides, Bo Ri Seo, M. Christian Brown, Irene de Lázaro, David Mooney, Cinzia Casiraghi, Daniel J. Lee and Hua Wang. Their work appears in journals such as Advanced Materials, Nature Nanotechnology and Scientific Reports.

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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