John D. Siirola
About
In The Last Decade
John D. Siirola
35 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Electrical and Electronic Engineering 678
- Control and Systems Engineering 589
- Biomedical Engineering 120
- Computational Theory and Mathematics 111
- Renewable Energy, Sustainability and the Environment 111
Countries citing papers authored by John D. Siirola
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
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
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | 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) | Seolhee Cho, Benjamin Omell et al. | 1 |
| 2 | 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) | Xian Gao, Bernard Knueven et al. | 0 |
| 3 | A mixed integer linear programming approach for the design of chemical process families | Computers & Chemical Engineering | Lorenz T. Biegler, John Eslick et al. | 3 |
| 4 | 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) | John D. Siirola, Chrysanthos E. Gounaris et al. | 1 |
| 5 | A parallel hub-and-spoke system for large-scale scenario-based optimization under uncertainty | Mathematical Programming Computation | Bernard Knueven, David Mildebrath et al. | 7 |
| 6 | Beyond price taker: Conceptual design and optimization of integrated energy systems using machine learning market surrogates | Applied Energy | Nicole Cortés, Xian Gao et al. | 16 |
| 7 | An implicit function formulation for optimization of discretized index-1 differential algebraic systems | Computers & Chemical Engineering | Robert Parker, Bethany L. Nicholson et al. | 4 |
| 8 | Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems | European Journal of Operational Research | Can Li, Antonio J. Conejo et al. | 80 |
| 9 | Pyosyn: A new framework for conceptual design modeling and optimization | Computers & Chemical Engineering | Qi Chen, John D. Siirola et al. | 16 |
| 10 | On representative day selection for capacity expansion planning of power systems under extreme operating conditions | International Journal of Electrical Power & Energy Systems | Can Li, Antonio J. Conejo et al. | 46 |
| 11 | 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) | Robert A. Parker, Bethany L. Nicholson et al. | 1 |
| 12 | The | OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) | Andrew Lee, John Eslick et al. | 82 |
| 13 | Electric power infrastructure planning under uncertainty: stochastic dual dynamic integer programming (SDDiP) and parallelization scheme | Optimization and Engineering | John D. Siirola, Ignacio E. Grossmann et al. | 38 |
| 14 | SUSPECT: MINLP special structure detector for Pyomo | Optimization Letters | John D. Siirola, Ruth Misener et al. | 5 |
| 15 | Pyomo — Optimization Modeling in Python breakdown → | Springer optimization and its applications | William E. Hart, Carl D. Laird et al. | 509 |
| 16 | Block-oriented modeling of superstructure optimization problems | Computers & Chemical Engineering | John D. Siirola, Jean‐Paul Watson et al. | 13 |
| 17 | Progressive Hedging for Stochastic Economic Dispatch with AC Power Flow. | OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) | John D. Siirola et al. | 1 |
| 18 | A multi-paradigm modeling framework for energy systems simulation and analysis | Computers & Chemical Engineering | Bri‐Mathias Hodge, Shisheng Huang et al. | 22 |
| 19 | Pyomo : Python Optimization Modeling Objects. | OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) | John D. Siirola, Carl D. Laird et al. | 1 |
| 20 | The PyUtilib Component Architecture. | OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) | William E. Hart, John D. Siirola | 2 |
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.