Lee DeVille
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
Papers in
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- Chaos control and synchronization 2
- Complex Network Analysis Techniques 2
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- Nonlinear Dynamics and Pattern Formation 6
- Co-authors
- Sairaj V. Dhople (4 shared papers)Jared C. Bronski (2 shared papers)Alejandro D. Domínguez-García (4 shared papers)Yu Christine Chen (1 shared paper)G. Bard Ermentrout (1 shared paper)Matthew West (1 shared paper)Nicole Riemer (1 shared paper)Nigel D. Goldenfeld (1 shared paper)
- Journals
- Chaos An Interdisciplinary Journal of Nonlinear Science (3 papers)SIAM Journal on Applied Mathematics (1 paper)Reliability Engineering & System Safety (1 paper)Journal of Mathematical Biology (1 paper)Nonlinearity (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Lee DeVille
16 papers receiving 285 citations
Peers
Comparison fields: 5 of 64
- Statistical and Nonlinear Physics 85
- Computer Networks and Communications 147
- Statistics, Probability and Uncertainty 24
- Safety, Risk, Reliability and Quality 27
- Control and Systems Engineering 40
Countries citing papers authored by Lee DeVille
This map shows the geographic impact of Lee DeVille'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 Lee DeVille with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee DeVille more than expected).
Fields of papers citing papers by Lee DeVille
This network shows the impact of papers produced by Lee DeVille. 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 Lee DeVille. The network helps show where Lee DeVille may publish in the future.
Co-authors
The 12 scholars most cited alongside Lee DeVille, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 64 | |
| 2 | 2014 | 46 | |
| 3 | 2018 | 38 | |
| 4 | 2021 | 32 | |
| 5 | 2012 | 29 | |
| 6 | 2013 | 23 | |
| 7 | 2019 | 13 | |
| 8 | 2018 | 11 | |
| 9 | 2016 | 9 | |
| 10 | 2014 | 8 | |
| 11 | 2016 | 7 | |
| 12 | 2015 | 6 | |
| 13 | 2015 | 5 | |
| 14 | 2015 | 3 | |
| 15 | 2019 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2017 | 0 | |
| 18 | 2020 | 0 |
About Lee DeVille
Lee DeVille is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 18 papers that have together received 296 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (6 papers), Gene Regulatory Network Analysis (3 papers), Evolution and Genetic Dynamics (2 papers), Chaos control and synchronization (2 papers), Slime Mold and Myxomycetes Research (2 papers), Ecosystem dynamics and resilience (2 papers), Topological and Geometric Data Analysis (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (85 citations), Computer Networks and Communications (147 citations), Statistics, Probability and Uncertainty (24 citations), Safety, Risk, Reliability and Quality (27 citations) and Control and Systems Engineering (40 citations). Lee DeVille has collaborated with scholars based in United States and Italy. Frequent co-authors include Sairaj V. Dhople, Jared C. Bronski, Alejandro D. Domínguez-García, Yu Christine Chen, G. Bard Ermentrout, Matthew West, Nicole Riemer, Nigel D. Goldenfeld, Eugene Lerman and Tommaso Biancalani. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, SIAM Journal on Applied Mathematics, Reliability Engineering & System Safety, Journal of Mathematical Biology and Nonlinearity.
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.