John D. Siirola

2.7k total citations · 2 hit papers
38 papers, 1.6k citations indexed

About

John D. Siirola is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, John D. Siirola has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 13 papers in Control and Systems Engineering and 7 papers in Computational Theory and Mathematics. Recurrent topics in John D. Siirola's work include Process Optimization and Integration (9 papers), Advanced Control Systems Optimization (8 papers) and Electric Power System Optimization (7 papers). John D. Siirola is often cited by papers focused on Process Optimization and Integration (9 papers), Advanced Control Systems Optimization (8 papers) and Electric Power System Optimization (7 papers). John D. Siirola collaborates with scholars based in United States, Mexico and United Kingdom. John D. Siirola's co-authors include Jean‐Paul Watson, Bethany L. Nicholson, Carl D. Laird, David L. Woodruff, William E. Hart, Gabriel A. Hackebeil, Ignacio E. Grossmann, Lorenz T. Biegler, Antonio J. Conejo and Ví­ctor M. Zavala and has published in prestigious journals such as Applied Energy, European Journal of Operational Research and International Journal of Electrical Power & Energy Systems.

In The Last Decade

John D. Siirola

35 papers receiving 1.5k citations

Hit Papers

Pyomo — Optimization Modeling in Python 2017 2026 2020 2023 2017 2021 100 200 300 400 500
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. Pyomo — Optimization Modeling in Python
    2017 509 citations William E. Hart, Carl D. Laird et al. Springer optimization and its applications profile →
  2. Pyomo — Optimization Modeling in Python
    2021 342 citations Carl D. Laird, Bethany L. Nicholson et al. Springer optimization and its applications profile →

Peers

John D. Siirola
Bethany L. Nicholson United States
Emad Mahrous Awwad Saudi Arabia
Jicheng Liu China
Chao Ning China
Eric S. Fraga United Kingdom
Ricardo Lima Brazil
Zhe Song China
S. Hr. Aghay Kaboli Malaysia
Bethany L. Nicholson United States
John D. Siirola
Citations per year, relative to John D. Siirola John D. Siirola (= 1×) peers Bethany L. Nicholson

Countries citing papers authored by John D. Siirola

Since Specialization
Citations

This map shows the geographic impact of John D. Siirola'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. Siirola 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. Siirola more than expected).

Fields of papers citing papers by John D. Siirola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Siirola. A scholar is included among the top collaborators of John D. Siirola 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. Siirola. John D. Siirola 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.
Cho, Seolhee, et al.. (2024). Optimization Model and Algorithm for Capacity Planning and Operation of Reliable and Carbon-neutral Power Systems with High Penetration of Renewable Generation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
2.
Gao, Xian, et al.. (2024). Beyond Price-Taker: Multiscale Optimization of a Wind-Battery Integrated Energy System within the Wholesale Electricity Market. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
3.
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
4.
Siirola, John D., et al.. (2024). Recent Advances of PyROS: A Pyomo Solver for Nonconvex Two-Stage Robust Optimization in Process Systems Engineering. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3. 201–207. 1 indexed citations
5.
Knueven, Bernard, et al.. (2023). A parallel hub-and-spoke system for large-scale scenario-based optimization under uncertainty. Mathematical Programming Computation. 15(4). 591–619. 7 indexed citations
6.
Cortés, Nicole, Xian Gao, Bernard Knueven, et al.. (2023). Beyond price taker: Conceptual design and optimization of integrated energy systems using machine learning market surrogates. Applied Energy. 351. 121767–121767. 16 indexed citations
7.
Parker, Robert, Bethany L. Nicholson, John D. Siirola, Carl D. Laird, & Lorenz T. Biegler. (2022). An implicit function formulation for optimization of discretized index-1 differential algebraic systems. Computers & Chemical Engineering. 168. 108042–108042. 4 indexed citations
8.
Li, Can, Antonio J. Conejo, Peng Liu, et al.. (2021). Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems. European Journal of Operational Research. 297(3). 1071–1082. 80 indexed citations
9.
Chen, Qi, et al.. (2021). Pyosyn: A new framework for conceptual design modeling and optimization. Computers & Chemical Engineering. 153. 107414–107414. 16 indexed citations
10.
Li, Can, Antonio J. Conejo, John D. Siirola, & Ignacio E. Grossmann. (2021). On representative day selection for capacity expansion planning of power systems under extreme operating conditions. International Journal of Electrical Power & Energy Systems. 137. 107697–107697. 46 indexed citations
11.
Parker, Robert A., Bethany L. Nicholson, John D. Siirola, & Lorenz T. Biegler. (2021). Diagnostic Tools for Dynamic Models of Chemical Process Systems in Pyomo.DAE.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
12.
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
13.
Siirola, John D., et al.. (2019). Electric power infrastructure planning under uncertainty: stochastic dual dynamic integer programming (SDDiP) and parallelization scheme. Optimization and Engineering. 21(4). 1243–1281. 38 indexed citations
14.
Siirola, John D., et al.. (2019). SUSPECT: MINLP special structure detector for Pyomo. Optimization Letters. 14(4). 801–814. 5 indexed citations
15.
Hart, William E., Carl D. Laird, Jean‐Paul Watson, et al.. (2017). Pyomo — Optimization Modeling in Python. Springer optimization and its applications. 509 indexed citations breakdown →
16.
Siirola, John D., et al.. (2013). Block-oriented modeling of superstructure optimization problems. Computers & Chemical Engineering. 57. 10–23. 13 indexed citations
17.
Siirola, John D., et al.. (2013). Progressive Hedging for Stochastic Economic Dispatch with AC Power Flow.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
18.
Hodge, Bri‐Mathias, Shisheng Huang, John D. Siirola, Joseph F. Pekny, & Gintaras V. Reklaitis. (2011). A multi-paradigm modeling framework for energy systems simulation and analysis. Computers & Chemical Engineering. 35(9). 1725–1737. 22 indexed citations
19.
Siirola, John D., Carl D. Laird, William Hart, & Jean‐Paul Watson. (2010). Pyomo : Python Optimization Modeling Objects.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 30(6). 522–7. 1 indexed citations
20.
Hart, William E. & John D. Siirola. (2010). The PyUtilib Component Architecture.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 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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