R. Stoop

2.2k citations
108 papers · 1.8k · h-index 24

Impact in

Papers in

R. Stoop

102 papers receiving 1.7k citations

Peers

R. Stoop
Comparison fields: 5 of 97
  • Bioengineering 337
  • Statistical and Nonlinear Physics 534
  • Sensory Systems 141
  • Developmental Biology 51
  • Cognitive Neuroscience 343
Replace Laurent Bourdieu with:
Laurent Bourdieu France
Eleonora Alfinito Italy
A. P. Micolich Australia
Hiroyuki Kitahata Japan
S. Camalet France
W. Dąbrowski Poland
T. W. Barrett United States
Feliksas Ivanauskas Lithuania
K. Yamafuji Japan
Julie Grollier France
R. Stoop relative to Laurent Bourdieu France Laurent Bourdieu's profile →
Citations per field
00.5×10×20×25.5×
Laurent Bourdieu · 1×
Citations per year

Countries citing papers authored by R. Stoop

Since Specialization
Citations

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

Fields of papers citing papers by R. Stoop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010133
2 2012106
3 2003102
4 201387
5 201380
6 198569
7 198867
8 201556
9 201252
10 201552
11 201348
12 198943
13 200741
14 199141
15 200440
16 199135
17 201833
18 200333
19 201330
20 200229

About R. Stoop

R. Stoop is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Biomedical Engineering, Bioengineering and Computer Networks and Communications, having authored 108 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chaos control and synchronization (21 papers), Neural dynamics and brain function (18 papers), Analytical Chemistry and Sensors (16 papers), Nonlinear Dynamics and Pattern Formation (15 papers), Nanowire Synthesis and Applications (14 papers), stochastic dynamics and bifurcation (13 papers), Complex Systems and Time Series Analysis (13 papers) and Quantum chaos and dynamical systems (12 papers). The work is most often cited by research in Bioengineering (337 citations), Statistical and Nonlinear Physics (534 citations), Sensory Systems (141 citations), Developmental Biology (51 citations) and Cognitive Neuroscience (343 citations). R. Stoop has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include A. Kern, Jürgen Parisi, Michel Calame, Christian Schönenberger, Mathias Wipf, Clemens Wagner, P. F. Meier, Alexey Tarasov, Bernd Witzigmann and K. Bedner. Their work appears in journals such as Physical Review Letters, Physics Letters A, Europhysics Letters (EPL), International Journal of Bifurcation and Chaos and ACS Nano.

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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