Ruedi Stoop

1.4k citations
82 papers · 902 · h-index 17

Impact in

Papers in

Ruedi Stoop

75 papers receiving 882 citations

Peers

Ruedi Stoop
Comparison fields: 5 of 99
  • Statistical and Nonlinear Physics 347
  • Developmental Biology 54
  • Sensory Systems 71
  • Cognitive Neuroscience 287
  • Computer Networks and Communications 185
Replace T. W. Barrett with:
T. W. Barrett United States
Ying-Cheng Lai United States
Nihat Ay Germany
José L. Mateos Mexico
Anna Levina Germany
Valentin Afraimovich Mexico
Diego Luis Gonzalez Spain
Francesco Vaccarino Italy
Benedetta Franceschiello Switzerland
Douglas G. Kelly United States
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Citations per field
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Citations per year

Countries citing papers authored by Ruedi Stoop

Since Specialization
Citations

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

Fields of papers citing papers by Ruedi Stoop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992111
2 201080
3 200270
4 201030
5 200529
6 201326
7 201724
8 201324
9 200424
10 200222
11 201219
12 201618
13 200417
14 200717
15 202216
16 201416
17 200616
18 201716
19 199116
20 201615

About Ruedi Stoop

Ruedi Stoop is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Artificial Intelligence, Computer Networks and Communications and Condensed Matter Physics, having authored 82 papers that have together received 902 indexed citations. Recurring topics across this work include Neural dynamics and brain function (22 papers), Neural Networks and Applications (11 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Hearing Loss and Rehabilitation (9 papers), Theoretical and Computational Physics (9 papers), Chaos control and synchronization (8 papers), Complex Systems and Time Series Analysis (8 papers) and stochastic dynamics and bifurcation (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (347 citations), Developmental Biology (54 citations), Sensory Systems (71 citations), Cognitive Neuroscience (287 citations) and Computer Networks and Communications (185 citations). Ruedi Stoop has collaborated with scholars based in Switzerland, Germany and South Africa. Frequent co-authors include Yoko Uwate, Jürgen Parisi, Joachim Peinke, Philipp Benner, Otto E. Rössler, Thomas Ott, A. Kern, Edgar Jacoby, Willi-Hans Steeb and R. Stoop. Their work appears in journals such as Physical Review Letters, Scientific Reports, Chaos An Interdisciplinary Journal of Nonlinear Science, Neural Computation and International Journal of Modern Physics C.

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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