John P. Eason
Impact in
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- Probabilistic and Robust Engineering Design
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- Advanced Multi-Objective Optimization Algorithms
Papers in ⓘ
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- Advanced Control Systems Optimization 8
- Process Optimization and Integration 8
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- Thermodynamic and Exergetic Analyses of Power and Cooling Systems 5
- Co-authors
- Selen Cremaschi (2 shared papers)Lorenz T. Biegler (14 shared papers)Haoshui Yu (4 shared papers)Xiao Feng (4 shared papers)Yufei Wang (1 shared paper)Xi Chen (2 shared papers)David C. Miller (2 shared papers)Alexander W. Dowling (2 shared papers)
- Journals
- AIChE Journal (5 papers)Computers & Chemical Engineering (3 papers)International journal of greenhouse gas control (2 papers)Applied Energy (1 paper)Biomass and Bioenergy (1 paper)
- Partner nations
- United StatesChinaNorway
In The Last Decade
John P. Eason
19 papers receiving 539 citations
Peers
Comparison fields: 5 of 68
- Statistics, Probability and Uncertainty 76
- Computational Theory and Mathematics 145
- Control and Systems Engineering 205
- Statistical and Nonlinear Physics 104
- Mechanical Engineering 213
Countries citing papers authored by John P. Eason
This map shows the geographic impact of John P. Eason'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 John P. Eason with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John P. Eason more than expected).
Fields of papers citing papers by John P. Eason
This network shows the impact of papers produced by John P. Eason. 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 John P. Eason. The network helps show where John P. Eason may publish in the future.
Co-authors
The 17 scholars most cited alongside John P. Eason, 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 | 2014 | 190 | |
| 2 | 2016 | 68 | |
| 3 | 2017 | 55 | |
| 4 | 2016 | 49 | |
| 5 | 2016 | 37 | |
| 6 | 2018 | 25 | |
| 7 | 2018 | 20 | |
| 8 | 2014 | 15 | |
| 9 | 2019 | 14 | |
| 10 | 2014 | 13 | |
| 11 | 2016 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2017 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2017 | 5 | |
| 17 | 2023 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2023 | 1 |
About John P. Eason
John P. Eason is a scholar working on Control and Systems Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Numerical Analysis, having authored 20 papers that have together received 549 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (8 papers), Process Optimization and Integration (8 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (5 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Reservoir Engineering and Simulation Methods (3 papers), Advanced Optimization Algorithms Research (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Advanced Optical Network Technologies (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (76 citations), Computational Theory and Mathematics (145 citations), Control and Systems Engineering (205 citations), Statistical and Nonlinear Physics (104 citations) and Mechanical Engineering (213 citations). John P. Eason has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Selen Cremaschi, Lorenz T. Biegler, Haoshui Yu, Xiao Feng, Yufei Wang, Xi Chen, David C. Miller, Alexander W. Dowling, Truls Gundersen and Wei Wan. Their work appears in journals such as AIChE Journal, Computers & Chemical Engineering, International journal of greenhouse gas control, Applied Energy and Biomass and Bioenergy.
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.