Renate Wackerbauer

625 citations
26 papers · 520 · h-index 12

Impact in

Papers in

Renate Wackerbauer

25 papers receiving 485 citations

Peers

Renate Wackerbauer
Comparison fields: 5 of 85
  • Statistical and Nonlinear Physics 288
  • Computer Networks and Communications 191
  • Cognitive Neuroscience 134
  • Economics and Econometrics 95
  • Global and Planetary Change 69
Replace A. Wunderlin with:
A. Wunderlin Germany
Ying-Cheng Lai United States
Arturo C. Martı́ Uruguay
G. Huerta-Cuéllar Mexico
Shawn D. Pethel United States
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Hie‐Tae Moon South Korea
Kunihiko Kaneko Japan
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Renate Wackerbauer relative to A. Wunderlin Germany A. Wunderlin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Renate Wackerbauer

Since Specialization
Citations

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

Fields of papers citing papers by Renate Wackerbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Renate Wackerbauer, 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 Renate Wackerbauer Line = papers co-authored together Renate Wackerbauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994223
2 199232
3 200332
4 200626
5 199926
6 200023
7 199819
8 200718
9 201416
10 199514
11 200911
12 200711
13 200010
14 20119
15 20119
16 20159
17 19948
18 20216
19 20176
20 20124

About Renate Wackerbauer

Renate Wackerbauer is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Cognitive Neuroscience, Global and Planetary Change and Molecular Biology, having authored 26 papers that have together received 520 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (15 papers), stochastic dynamics and bifurcation (12 papers), Neural dynamics and brain function (6 papers), Chaos control and synchronization (5 papers), Climate variability and models (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers) and Slime Mold and Myxomycetes Research (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (288 citations), Computer Networks and Communications (191 citations), Cognitive Neuroscience (134 citations), Economics and Econometrics (95 citations) and Global and Planetary Change (69 citations). Renate Wackerbauer has collaborated with scholars based in United States and Germany. Frequent co-authors include Harald Atmanspacher, Jürgen Kurths, H. Scheingraber, A. Witt, Kenneth Showalter, Sumire Kobayashi, Peter Jung, Jichang Wang, Greg A. Breed and Hongyan Sun. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physical Review Letters, Chaos Solitons & Fractals, Open Systems & Information Dynamics and Physical review. E.

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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