Christopher L.E. Swartz

1.6k total citations
96 papers, 1.2k citations indexed

About

Christopher L.E. Swartz is a scholar working on Control and Systems Engineering, Mechanical Engineering and Numerical Analysis. According to data from OpenAlex, Christopher L.E. Swartz has authored 96 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Control and Systems Engineering, 13 papers in Mechanical Engineering and 7 papers in Numerical Analysis. Recurrent topics in Christopher L.E. Swartz's work include Advanced Control Systems Optimization (72 papers), Process Optimization and Integration (69 papers) and Fault Detection and Control Systems (47 papers). Christopher L.E. Swartz is often cited by papers focused on Advanced Control Systems Optimization (72 papers), Process Optimization and Integration (69 papers) and Fault Detection and Control Systems (47 papers). Christopher L.E. Swartz collaborates with scholars based in Canada, South Africa and United States. Christopher L.E. Swartz's co-authors include Yanan Cao, Jesus Flores‐Cerrillo, W. E. Stewart, Michael Bâldea, Prashant Mhaskar, Mudassir Rashid, Yoshiaki Kawajiri, Stéphane Blouin, Neslihan Dogan and Jingran Ma and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Chemical Engineering Science and AIChE Journal.

In The Last Decade

Christopher L.E. Swartz

93 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher L.E. Swartz Canada 20 779 273 97 94 65 96 1.2k
Liang Tang China 17 447 0.6× 133 0.5× 135 1.4× 65 0.7× 41 0.6× 112 1.0k
Pastora Vega Spain 22 785 1.0× 200 0.7× 210 2.2× 52 0.6× 38 0.6× 108 1.5k
Calvin Tsay United States 17 422 0.5× 173 0.6× 110 1.1× 56 0.6× 49 0.8× 37 725
Yunfei Cui China 9 227 0.3× 134 0.5× 174 1.8× 56 0.6× 47 0.7× 21 785
Gilberto Francisco Martha de Souza Brazil 16 212 0.3× 207 0.8× 106 1.1× 56 0.6× 82 1.3× 100 833
J. Viswanathan United States 5 628 0.8× 83 0.3× 36 0.4× 60 0.6× 51 0.8× 10 779
Wan Zhang China 17 262 0.3× 268 1.0× 205 2.1× 49 0.5× 99 1.5× 31 825

Countries citing papers authored by Christopher L.E. Swartz

Since Specialization
Citations

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

Fields of papers citing papers by Christopher L.E. Swartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher L.E. Swartz. 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 Christopher L.E. Swartz. The network helps show where Christopher L.E. Swartz may publish in the future.

Co-authorship network of co-authors of Christopher L.E. Swartz

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher L.E. Swartz. A scholar is included among the top collaborators of Christopher L.E. Swartz 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 Christopher L.E. Swartz. Christopher L.E. Swartz 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.
Swartz, Christopher L.E., et al.. (2024). A two-level MPC method for the operation of a gas pipeline system under demand variation. Computers & Chemical Engineering. 183. 108597–108597. 3 indexed citations
2.
Swartz, Christopher L.E., et al.. (2024). State and parameter estimation in closed-loop dynamic real-time optimization — A comparative study. Computers & Chemical Engineering. 194. 108932–108932. 1 indexed citations
3.
Swartz, Christopher L.E., et al.. (2024). Integrated scheduling and control with closed-loop prediction. IFAC-PapersOnLine. 58(14). 640–645.
4.
Swartz, Christopher L.E., et al.. (2024). Economic Model Predictive Control for Cryogenic Air Separation Unit Startup. IFAC-PapersOnLine. 58(14). 761–766. 1 indexed citations
5.
Swartz, Christopher L.E., et al.. (2024). Integration of Scheduling and Control for Plants Controlled by Distributed MPC Systems. Industrial & Engineering Chemistry Research. 63(27). 12016–12034. 1 indexed citations
6.
Wang, Jing, Christopher L.E. Swartz, & Kai Huang. (2023). Deep learning-based model predictive control for real-time supply chain optimization. Journal of Process Control. 129. 103049–103049. 8 indexed citations
7.
Swartz, Christopher L.E., et al.. (2023). An Integrated Scheduling and Control Framework for Plants Controlled by Distributed MPC Systems. IFAC-PapersOnLine. 56(2). 1417–1422. 2 indexed citations
8.
Wang, Jing, Christopher L.E. Swartz, & Kai Huang. (2023). Data-driven supply chain monitoring using canonical variate analysis. Computers & Chemical Engineering. 174. 108228–108228. 3 indexed citations
9.
Swartz, Christopher L.E., et al.. (2023). A scenario-based framework for the integration of scheduling and control under multiple uncertainties. Journal of Process Control. 129. 103055–103055. 2 indexed citations
10.
Swartz, Christopher L.E., et al.. (2023). Dynamic Optimization of Multiproduct Cryogenic Air Separation Unit Startup. Industrial & Engineering Chemistry Research. 62(27). 10542–10558. 5 indexed citations
11.
Swartz, Christopher L.E., et al.. (2022). Optimization of a multiperiod refinery planning problem under uncertainty. AIChE Journal. 68(9). 3 indexed citations
12.
Mhaskar, Prashant, et al.. (2022). Dynamic real-time optimization for nonlinear systems with Lyapunov stabilizing MPC. Journal of Process Control. 114. 1–15. 11 indexed citations
13.
Swartz, Christopher L.E., et al.. (2022). Modeling, simulation, and optimization of multiproduct cryogenic air separation unit startup. AIChE Journal. 69(2). 9 indexed citations
14.
Kelly, Jeffrey D., et al.. (2021). An adaptive sampling surrogate model building framework for the optimization of reaction systems. Computers & Chemical Engineering. 152. 107371–107371. 13 indexed citations
15.
Swartz, Christopher L.E., et al.. (2021). Closed‐loop dynamic real‐time optimization with stabilizing model predictive control. AIChE Journal. 67(10). 9 indexed citations
16.
Swartz, Christopher L.E., et al.. (2020). Dynamic Modeling and Simulation of Basic Oxygen Furnace (BOF) Operation. Processes. 8(4). 483–483. 19 indexed citations
17.
Wang, Jing, Christopher L.E. Swartz, Brandon Corbett, & Kai Huang. (2020). Supply Chain Monitoring Using Principal Component Analysis. Industrial & Engineering Chemistry Research. 59(27). 12487–12503. 12 indexed citations
18.
Swartz, Christopher L.E., et al.. (2018). Real-Time Dynamic Optimization-Based Advisory System for Electric Arc Furnace Operation. Industrial & Engineering Chemistry Research. 57(39). 13177–13190. 8 indexed citations
19.
Rashid, Mudassir, et al.. (2018). Handling sensor faults in economic model predictive control of batch processes. AIChE Journal. 65(2). 617–628. 9 indexed citations
20.
Rashid, Mudassir, Prashant Mhaskar, & Christopher L.E. Swartz. (2016). Handling multi‐rate and missing data in variable duration economic model predictive control of batch processes. AIChE Journal. 63(7). 2705–2718. 16 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Liang Tang Breakdown of academic impact, for papers by Pastora Vega Breakdown of academic impact, for papers by Calvin Tsay Breakdown of academic impact, for papers by Yunfei Cui Breakdown of academic impact, for papers by Gilberto Francisco Martha de Souza Breakdown of academic impact, for papers by J. Viswanathan Breakdown of academic impact, for papers by Wan Zhang
Rankless by CCL
2026