Cynthia Rush

703 citations
34 papers · 421 · h-index 12

Impact in

Papers in

Cynthia Rush

30 papers receiving 419 citations

Peers

Cynthia Rush
Comparison fields: 5 of 62
  • Computational Mathematics 6
  • Computer Networks and Communications 198
  • Computational Mechanics 170
  • Signal Processing 69
  • Statistics and Probability 47
Replace Vyacheslav Tuzlukov with:
Vyacheslav Tuzlukov South Korea
E.G. Kanterakis United States
Anu Huttunen Finland
K. Järvinen Finland
Karl‐Dirk Kammeyer Germany
J.L. LoCicero United States
Stephen Voran United States
B. Bessette Canada
Martin Ohmacht United States
Cynthia Rush relative to Vyacheslav Tuzlukov South Korea Vyacheslav Tuzlukov's profile →
Citations per field
00.5×10×15×19.3×
Vyacheslav Tuzlukov · 1×
Citations per year

Countries citing papers authored by Cynthia Rush

Since Specialization
Citations

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

Fields of papers citing papers by Cynthia Rush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Cynthia Rush, 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 Cynthia Rush Line = papers co-authored together Cynthia Rush links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201772
2 202164
3 202239
4 201633
5 201830
6 202125
7 201614
8 201814
9 201513
10 201812
11 201012
12 201911
13 201911
14 20169
15 20178
16 20177
17 20196
18 20206
19 20225
20 20225

About Cynthia Rush

Cynthia Rush is a scholar working on Computer Networks and Communications, Computational Mechanics, Electrical and Electronic Engineering, Statistics and Probability and Signal Processing, having authored 34 papers that have together received 421 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (17 papers), Distributed Sensor Networks and Detection Algorithms (9 papers), Cooperative Communication and Network Coding (9 papers), Advanced MIMO Systems Optimization (8 papers), Blind Source Separation Techniques (7 papers), Wireless Communication Security Techniques (6 papers), Error Correcting Code Techniques (5 papers) and Statistical Methods and Inference (4 papers). The work is most often cited by research in Computational Mathematics (6 citations), Computer Networks and Communications (198 citations), Computational Mechanics (170 citations), Signal Processing (69 citations) and Statistics and Probability (47 citations). Cynthia Rush has collaborated with scholars based in United States, United Kingdom and South Sudan. Frequent co-authors include Ramji Venkataramanan, Krishna R. Narayanan, Vamsi K. Amalladinne, Jean‐François Chamberland, Asit Kumar Pradhan, Dror Baron, Richard J. Samworth, Yanting Ma, Markus Iseli and Seth Leon. Their work appears in journals such as IEEE Transactions on Information Theory, Scientific Reports, Chaos An Interdisciplinary Journal of Nonlinear Science, The Annals of Statistics and IEEE Transactions on Signal Processing.

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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