John Eslick

1.3k total citations · 1 hit paper
21 papers, 856 citations indexed

About

John Eslick is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computational Theory and Mathematics. According to data from OpenAlex, John Eslick has authored 21 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 8 papers in Mechanical Engineering and 5 papers in Computational Theory and Mathematics. Recurrent topics in John Eslick's work include Process Optimization and Integration (11 papers), Carbon Dioxide Capture Technologies (8 papers) and Advanced Control Systems Optimization (6 papers). John Eslick is often cited by papers focused on Process Optimization and Integration (11 papers), Carbon Dioxide Capture Technologies (8 papers) and Advanced Control Systems Optimization (6 papers). John Eslick collaborates with scholars based in United States and Brazil. John Eslick's co-authors include David C. Miller, Paulette Spencer, Anil Misra, Qiang Ye, Jong-Gu Park, Kyle V. Camarda, Elizabeth M. Topp, Fábio de Melo Sene, Yong Wang and Viraj Singh and has published in prestigious journals such as Energy & Environmental Science, Applied Energy and Industrial & Engineering Chemistry Research.

In The Last Decade

John Eslick

20 papers receiving 837 citations

Hit Papers

Adhesive/Dentin Interface: The Weak Link in the Composite... 2010 2026 2015 2020 2010 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Eslick United States 12 405 202 187 161 159 21 856
Mohammad H. Shams Iran 16 62 0.2× 45 0.2× 42 0.2× 206 1.3× 38 0.2× 37 939
Nikhil India 8 11 0.0× 59 0.3× 11 0.1× 15 0.1× 41 0.3× 32 315
Juncheng Wang China 15 10 0.0× 37 0.2× 57 0.3× 35 0.2× 134 0.8× 58 493
Miroljub Jevtić Kosovo 11 24 0.1× 27 0.1× 25 0.1× 278 1.7× 181 1.1× 30 679
Shigenori Togashi Japan 11 13 0.0× 13 0.1× 51 0.3× 128 0.8× 159 1.0× 35 935
Tai Tai United States 9 6 0.0× 6 0.0× 35 0.2× 124 0.8× 73 0.5× 67 503
Tae Young Kim South Korea 16 6 0.0× 16 0.1× 427 2.3× 21 0.1× 226 1.4× 73 808
Liwen Zhang China 14 44 0.1× 19 0.1× 167 0.9× 17 0.1× 70 0.4× 89 609
M. Zeki Yılmazoğlu Türkiye 14 6 0.0× 9 0.0× 191 1.0× 19 0.1× 122 0.8× 41 508
Xingdi Zhang China 10 27 0.1× 64 0.3× 82 0.4× 240 1.5× 27 718

Countries citing papers authored by John Eslick

Since Specialization
Citations

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

Fields of papers citing papers by John Eslick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Eslick

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

All Works

20 of 20 papers shown
1.
Cortés, Nicole, John Eslick, Miguel Zamarripa, et al.. (2024). Market optimization and technoeconomic analysis of hydrogen-electricity coproduction systems. Energy & Environmental Science. 17(24). 9509–9525. 6 indexed citations
2.
Biegler, Lorenz T., John Eslick, C.A. Jacobson, et al.. (2024). A mixed integer linear programming approach for the design of chemical process families. Computers & Chemical Engineering. 183. 108620–108620. 3 indexed citations
5.
Eslick, John, Miguel Zamarripa, Indrajit Bhattacharya, et al.. (2022). Predictive modeling of a subcritical pulverized-coal power plant for optimization: Parameter estimation, validation, and application. Applied Energy. 319. 119226–119226. 21 indexed citations
6.
Eslick, John, et al.. (2021). Model Development, Validation, and Optimization of an MEA-Based Post-Combustion CO2 Capture Process under Part-Load and Variable Capture Operations. Industrial & Engineering Chemistry Research. 60(14). 5176–5193. 23 indexed citations
7.
Eslick, John, et al.. (2021). A generalized cutting‐set approach for nonlinear robust optimization in process systems engineering. AIChE Journal. 67(5). 8 indexed citations
8.
Lee, Andrew, John Eslick, Carl D. Laird, et al.. (2021). The IDAES process modeling framework and model library—Flexibility for process simulation and optimization. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3(3). 82 indexed citations
9.
Yang, Chen, John Eslick, Ignacio E. Grossmann, & David C. Miller. (2018). Simultaneous Optimization and Heat Integration Framework Based on Rigorous Process Simulations. Figshare.
10.
Eslick, John, et al.. (2017). Design, dynamic modeling, and control of a multistage CO2 compression system. International journal of greenhouse gas control. 62. 31–45. 28 indexed citations
11.
Cheah, You-Wei, Abdelrahman Elbashandy, D. Agarwal, et al.. (2016). Data management and simulation support accelerating carbon capture through computing. eScholarship (California Digital Library). 33. 389–398. 2 indexed citations
12.
Yang, Chen, John Eslick, Ignacio E. Grossmann, & David C. Miller. (2015). Simultaneous process optimization and heat integration based on rigorous process simulations. Computers & Chemical Engineering. 81. 180–199. 28 indexed citations
13.
Eslick, John, et al.. (2014). A Framework for Optimization and Quantification of Uncertainty and Sensitivity for Developing Carbon Capture Systems. Energy Procedia. 63. 1055–1063. 16 indexed citations
14.
Miller, David C., et al.. (2013). Computational Tools for Accelerating Carbon Capture Process Development. University of North Texas Digital Library (University of North Texas). 3 indexed citations
15.
Eslick, John, et al.. (2013). Comparisons of amine solvents for post-combustion CO2 capture: A multi-objective analysis approach. International journal of greenhouse gas control. 18. 68–74. 55 indexed citations
16.
Park, Jong-Gu, John Eslick, Qiang Ye, Anil Misra, & Paulette Spencer. (2011). The influence of chemical structure on the properties in methacrylate-based dentin adhesives. Dental Materials. 27(11). 1086–1093. 103 indexed citations
17.
Miller, David C., et al.. (2011). A modular framework for the analysis and optimization of power generation systems with CCS. Energy Procedia. 4. 2082–2089. 5 indexed citations
18.
Eslick, John & David C. Miller. (2011). A multi-objective analysis for the retrofit of a pulverized coal power plant with a CO2 capture and compression process. Computers & Chemical Engineering. 35(8). 1488–1500. 34 indexed citations
19.
Spencer, Paulette, Qiang Ye, Jong-Gu Park, et al.. (2010). Adhesive/Dentin Interface: The Weak Link in the Composite Restoration. Annals of Biomedical Engineering. 38(6). 1989–2003. 360 indexed citations breakdown →
20.
Eslick, John, et al.. (2008). A computational molecular design framework for crosslinked polymer networks. Computers & Chemical Engineering. 33(5). 954–963. 20 indexed citations

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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