Jeanne A. Atwell

443 citations
6 papers · 302 indexed · h-index 5
Topics
Model Reduction and Neural Networks (4 papers)Probabilistic and Robust Engineering Design (2 papers)Control Systems and Identification (2 papers)
Partner nations
United StatesFrance

In The Last Decade

Jeanne A. Atwell

6 papers receiving 277 citations

Peers

Jeanne A. Atwell
Comparison fields: 5 of 45
  • Statistical and Nonlinear Physics 223
  • Computational Mechanics 129
  • Control and Systems Engineering 95
  • Statistics, Probability and Uncertainty 79
  • Numerical Analysis 72
Replace Benjamin Unger with:
Benjamin Unger Germany
Yaohua Zang Germany
T.N. Lucas United Kingdom
Maciej Balajewicz United States
Roland Pulch Germany
G. Wang Australia
Haiwu Rong China
A. Yousuff United States
Bradley N. Bond United States
Francisco Damasceno Freitas Brazil
Jeanne A. Atwell relative to Benjamin Unger Germany Benjamin Unger's profile →
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Countries citing papers authored by Jeanne A. Atwell

Since Specialization
Citations

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

Fields of papers citing papers by Jeanne A. Atwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeanne A. Atwell. 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 Jeanne A. Atwell. The network helps show where Jeanne A. Atwell may publish in the future.

Co-authorship network of co-authors of Jeanne A. Atwell

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 51
2 9
3
Reduced order controllers for Burgers' equation with a nonlinear observer
56
4 172
5 13
6 1

About Jeanne A. Atwell

Jeanne A. Atwell is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty, having authored 6 papers that have together received 302 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (4 papers), Probabilistic and Robust Engineering Design (2 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (223 citations), Numerical Analysis (72 citations) and Statistics, Probability and Uncertainty (79 citations). Jeanne A. Atwell has collaborated with scholars based in United States and France. Frequent co-authors include B.B. King, Jeff Borggaard and J.S. Armijo. Their work appears in journals such as SIAM Journal on Scientific Computing, Mathematical and Computer Modelling and International Journal of Applied Mathematics and Computer Science.

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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