Rachel Kuske

1.8k citations
73 papers · 1.2k indexed · h-index 22
Topics
Nonlinear Dynamics and Pattern Formation (27 papers)stochastic dynamics and bifurcation (24 papers)Ecosystem dynamics and resilience (9 papers)

In The Last Decade

Rachel Kuske

69 papers receiving 1.1k citations

Peers

Rachel Kuske
Comparison fields: 5 of 106
  • Statistical and Nonlinear Physics 351
  • Computer Networks and Communications 304
  • Finance 216
  • Mechanical Engineering 178
  • Control and Systems Engineering 116
Replace Gabriel J. Lord with:
Gabriel J. Lord United Kingdom
Rüdiger Seydel Germany
N. Sri Namachchivaya United States
M. Farkas Hungary
H.B. Stewart United States
J. Grasman Netherlands
Wei Xu China
Michel Pierre France
Yanmei Kang China
D. R. J. Chillingworth United Kingdom
Rachel Kuske relative to Gabriel J. Lord United Kingdom Gabriel J. Lord's profile →
Citations per field
00.5×1.5×
Gabriel J. Lord · 1×
Citations per year

Countries citing papers authored by Rachel Kuske

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Kuske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Kuske

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Kuske. A scholar is included among the top collaborators of Rachel Kuske 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 Rachel Kuske. Rachel Kuske is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 19
4 27
5 14
6 24
7 2
8 6
9 6
10 30
11 57
12 8
13
American Options on Assets with Dividends Near Expiry
22
14 23
15 44
16 4
17 6
18
Automatic Detection of Egg Shell Cracks
1
19 8
20 20

About Rachel Kuske

Rachel Kuske is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Acoustics and Ultrasonics, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (27 papers), stochastic dynamics and bifurcation (24 papers) and Ecosystem dynamics and resilience (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (351 citations), Finance (216 citations) and Computer Networks and Communications (304 citations). Rachel Kuske has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Joseph B. Keller, David J. W. Simpson, Daniil Yurchenko, Chris Budd, Jonathan D. Evans, Thomas Erneux, Priscilla E. Greenwood, Sarah Mitchell, Anthony Peirce and Hongbin Li. Their work appears in journals such as Journal of Computational Physics, Biophysical Journal and PLoS Biology.

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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