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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- Nonlinear Dynamics and Pattern Formation 6
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- Chaos control and synchronization 2
- Co-authors
- Alejandro D. Domínguez-García (4 shared papers)Sairaj V. Dhople (4 shared papers)Jared C. Bronski (2 shared papers)Yu Christine Chen (1 shared paper)Bard Ermentrout (1 shared paper)Matthew West (1 shared paper)Nicole Riemer (1 shared paper)Nigel Goldenfeld (1 shared paper)
- Journals
- Chaos An Interdisciplinary Journal of Nonlinear Science (3 papers)SIAM Journal on Applied Mathematics (1 paper)Journal of Mathematical Biology (1 paper)Reliability Engineering & System Safety (1 paper)Nonlinearity (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Lee DeVille
14 papers receiving 255 citations
Peers
Comparison fields: 5 of 62
- Statistical and Nonlinear Physics 75
- Computer Networks and Communications 132
- Statistics, Probability and Uncertainty 23
- Safety, Risk, Reliability and Quality 26
- Control and Systems Engineering 36
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 9 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 | 62 | |
| 2 | 2014 | 40 | |
| 3 | 2018 | 32 | |
| 4 | 2021 | 31 | |
| 5 | 2012 | 30 | |
| 6 | 2013 | 22 | |
| 7 | 2019 | 11 | |
| 8 | 2018 | 10 | |
| 9 | 2016 | 9 | |
| 10 | 2014 | 7 | |
| 11 | 2015 | 5 | |
| 12 | 2015 | 5 | |
| 13 | 2016 | 1 | |
| 14 | 2016 | 1 |
About Lee DeVille
Lee DeVille is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Molecular Biology and Safety, Risk, Reliability and Quality, having authored 14 papers that have together received 266 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Topological and Geometric Data Analysis (2 papers), Slime Mold and Myxomycetes Research (2 papers), Chaos control and synchronization (2 papers), Evolution and Genetic Dynamics (2 papers), Gene Regulatory Network Analysis (2 papers) and Ecosystem dynamics and resilience (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (75 citations), Computer Networks and Communications (132 citations), Statistics, Probability and Uncertainty (23 citations), Safety, Risk, Reliability and Quality (26 citations) and Control and Systems Engineering (36 citations). Lee DeVille has collaborated with scholars based in United States and Italy. Frequent co-authors include Alejandro D. Domínguez-García, Sairaj V. Dhople, Jared C. Bronski, Yu Christine Chen, Bard Ermentrout, Matthew West, Nicole Riemer, Nigel Goldenfeld and Tommaso Biancalani. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, SIAM Journal on Applied Mathematics, Journal of Mathematical Biology, Reliability Engineering & System Safety 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.