John D. Hedengren

3.0k total citations · 1 hit paper
109 papers, 2.3k citations indexed

About

John D. Hedengren is a scholar working on Control and Systems Engineering, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, John D. Hedengren has authored 109 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Control and Systems Engineering, 29 papers in Mechanical Engineering and 25 papers in Ocean Engineering. Recurrent topics in John D. Hedengren's work include Advanced Control Systems Optimization (28 papers), Fault Detection and Control Systems (21 papers) and Reservoir Engineering and Simulation Methods (13 papers). John D. Hedengren is often cited by papers focused on Advanced Control Systems Optimization (28 papers), Fault Detection and Control Systems (21 papers) and Reservoir Engineering and Simulation Methods (13 papers). John D. Hedengren collaborates with scholars based in United States, United Kingdom and Norway. John D. Hedengren's co-authors include Kody M. Powell, Thomas F. Edgar, Ronald E. Martin, Logan Beal, Daniel C. Hill, Seyed Mostafa Safdarnejad, Jeffrey D. Kelly, Larry Baxter, Kevin W. Franke and Paulo Moura Oliveira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Applied Energy.

In The Last Decade

John D. Hedengren

104 papers receiving 2.2k citations

Hit Papers

GEKKO Optimization Suite 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. GEKKO Optimization Suite
    2018 250 citations Logan Beal, Daniel C. Hill et al. Processes profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John D. Hedengren United States 27 706 547 454 396 241 109 2.3k
Zhe Wu United States 33 1.8k 2.5× 275 0.5× 373 0.8× 92 0.2× 135 0.6× 166 3.3k
Jian Liu China 27 179 0.3× 480 0.9× 406 0.9× 536 1.4× 198 0.8× 279 2.9k
Bo Sun China 30 504 0.7× 337 0.6× 1.3k 2.9× 282 0.7× 103 0.4× 176 2.8k
Fei Kang China 33 188 0.3× 287 0.5× 205 0.5× 157 0.4× 75 0.3× 93 3.6k
Zhixiong Li China 39 458 0.6× 1.6k 2.9× 363 0.8× 191 0.5× 969 4.0× 152 4.5k
Dongsheng Yang China 32 1.3k 1.8× 415 0.8× 1.2k 2.6× 70 0.2× 148 0.6× 245 3.4k
Siddhartha Kumar Khaitan United States 17 471 0.7× 463 0.8× 523 1.2× 124 0.3× 39 0.2× 49 2.2k
Zhou Wu China 29 716 1.0× 306 0.6× 1.2k 2.7× 47 0.1× 110 0.5× 137 2.9k
Teng Li China 24 870 1.2× 583 1.1× 261 0.6× 141 0.4× 276 1.1× 119 2.4k
Jie Tan China 23 354 0.5× 261 0.5× 559 1.2× 78 0.2× 84 0.3× 129 2.0k

Countries citing papers authored by John D. Hedengren

Since Specialization
Citations

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

Fields of papers citing papers by John D. Hedengren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John D. Hedengren

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Hedengren. A scholar is included among the top collaborators of John D. Hedengren 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 D. Hedengren. John D. Hedengren 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.
Lu, Xiaonan, et al.. (2025). Uncertainty propagation and sensitivity analysis for constrained optimization of nuclear waste vitrification. Journal of the American Ceramic Society. 108(7).
2.
Larsen, Andrew, et al.. (2024). Multi-objective optimization of molten salt microreactor shielding perturbations employing machine learning. Nuclear Engineering and Design. 426. 113372–113372. 2 indexed citations
3.
Hill, Daniel C., et al.. (2024). Model predictive control of a Lab-Scale thermal energy storage system in RELAP5-3D. Nuclear Engineering and Design. 418. 112906–112906. 1 indexed citations
4.
Hedengren, John D., et al.. (2024). Model predictive control of a grid-scale Thermal Energy Storage system in RELAP5-3D. Progress in Nuclear Energy. 177. 105410–105410. 1 indexed citations
5.
Hill, Daniel C., Shafiqur Rahman Tito, Michael R.W. Walmsley, & John D. Hedengren. (2024). Techno-economic optimization of a hybrid energy system with limited grid connection in pursuit of net zero carbon emissions for New Zealand. SHILAP Revista de lepidopterología. 8. 100564–100564. 1 indexed citations
6.
Chen, Yunzhi, et al.. (2024). Hydrogen underground storage for grid electricity storage: An optimization study on techno-economic analysis. Energy Conversion and Management. 322. 119115–119115. 11 indexed citations
7.
Hedengren, John D., et al.. (2024). Flexible operation of nuclear hybrid energy systems for load following and water desalination. Renewable energy focus. 51. 100641–100641. 2 indexed citations
8.
Nicholson, Bethany L. & John D. Hedengren. (2023). Open-Source Modeling Platforms. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
9.
Hedengren, John D., et al.. (2023). A two-level optimization framework for battery energy storage systems to enhance economics and minimize long-term capacity fading. Journal of Energy Storage. 63. 106943–106943. 9 indexed citations
10.
Rossiter, J.A., Christos G. Cassandras, João P. Hespanha, et al.. (2023). Control education for societal-scale challenges: A community roadmap. Annual Reviews in Control. 55. 1–17. 16 indexed citations
11.
Hedengren, John D., et al.. (2023). Deep Transfer Learning for Approximate Model Predictive Control. Processes. 11(1). 197–197. 7 indexed citations
12.
Hedengren, John D., et al.. (2023). Simultaneous multistep transformer architecture for model predictive control. Computers & Chemical Engineering. 178. 108396–108396. 24 indexed citations
13.
Tuttle, Jacob F., et al.. (2022). Dynamic machine learning-based optimization algorithm to improve boiler efficiency. Journal of Process Control. 120. 129–149. 14 indexed citations
14.
Rossiter, J.A., et al.. (2022). Open access resources to support learning of control engineering. 2022 European Control Conference (ECC). 1–6. 5 indexed citations
15.
Bjørkevoll, Knut S., et al.. (2020). Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model. ISA Transactions. 105. 256–268. 11 indexed citations
16.
Oliveira, Paulo Moura, John D. Hedengren, & J.A. Rossiter. (2020). Introducing Digital Controllers to Undergraduate Students using the TCLab Arduino Kit. IFAC-PapersOnLine. 53(2). 17524–17529. 20 indexed citations
17.
Beal, Logan, et al.. (2018). Integrated scheduling and control in discrete-time with dynamic parameters and constraints. Computers & Chemical Engineering. 115. 361–376. 18 indexed citations
18.
Hedengren, John D., et al.. (2018). Model predictive automatic control of sucker rod pump system with simulation case study. Computers & Chemical Engineering. 121. 265–284. 18 indexed citations
19.
Sun, Liang, et al.. (2015). Parameter estimation for towed cable systems using moving horizon estimation. IEEE Transactions on Aerospace and Electronic Systems. 51(2). 1432–1446. 24 indexed citations
20.
Sugiura, Junichi, Robello Samuel, Joachim Oppelt, et al.. (2015). Drilling Modeling and Simulation: Current State and Future Goals. 39 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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