Otti D’Huys

684 citations
25 papers · 494 indexed · h-index 12

Impact in

Papers in

Otti D’Huys

24 papers receiving 474 citations

Peers

Otti D’Huys
Comparison fields: 5 of 47
  • Statistical and Nonlinear Physics 256
  • Computer Networks and Communications 377
  • Cognitive Neuroscience 92
  • Acoustics and Ultrasonics 3
  • Artificial Intelligence 94
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Michael Peil Germany
Martin Rohden Germany
Juan Hugo García-López Mexico
Kenji Matsumoto Japan
Skaidra Bumelienė Lithuania
Thomas Dahms Germany
Stefano Euzzor Italy
M. Zigzag Israel
Jordi Zamora‐Munt Spain
B. Nana Cameroon
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Citations per field
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Citations per year

Countries citing papers authored by Otti D’Huys

Since Specialization
Citations

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

Fields of papers citing papers by Otti D’Huys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Otti D’Huys. 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 Otti D’Huys. The network helps show where Otti D’Huys may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20222
2 20205
3 20206
4 201714
5 201711
6 20176
7 20165
8 20156
9 201426
10 201419
11 201336
12 201315
13 201336
14 201212
15 201243
16 201129
17 201111
18 20104
19 200953
20 2008105

About Otti D’Huys

Otti D’Huys is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Biophysics, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics, having authored 25 papers that have together received 494 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (23 papers), stochastic dynamics and bifurcation (14 papers), Chaos control and synchronization (10 papers), Neural Networks Stability and Synchronization (7 papers), Neural dynamics and brain function (3 papers), Gene Regulatory Network Analysis (3 papers), Quantum optics and atomic interactions (3 papers) and Slime Mold and Myxomycetes Research (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (256 citations), Computer Networks and Communications (377 citations), Cognitive Neuroscience (92 citations), Acoustics and Ultrasonics (3 citations) and Artificial Intelligence (94 citations). Otti D’Huys has collaborated with scholars based in Germany, Spain and Belgium. Frequent co-authors include Jan Danckaert, Ingo Fischer, Raúl Vicente, T. Erneux, Eckehard Schöll, Thomas Jüngling, Valentín Flunkert, Wolfgang Kinzel, Raúl Vicente and Yanne K. Chembo. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physical review. E, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal of Physics Photonics and SIAM Journal on Applied Dynamical Systems.

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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