John D. Siirola

35 papers receiving 1.5k citations

Hit Papers

Pyomo — Optimization Modeling in Python201720262020202320172021100200300400500

Peers

John D. Siirola
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
Replace Holger Heitsch with:
Holger Heitsch Germany
Bethany L. Nicholson United States
Eric S. Fraga United Kingdom
Jicheng Liu China
Steffen Rebennack United States
Ricardo Lima Brazil
Siddhartha Kumar Khaitan United States
Florin Capitanescu Luxembourg
Carlos Ruiz Spain
Xiaoqing Bai China
John D. Siirola relative to Holger Heitsch Germany Holger Heitsch's profile →
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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
#WorkIndexed citations
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3 3
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5 7
6 16
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8 80
9 16
10 46
11 1
12 82
13 38
14 5
15
Pyomo — Optimization Modeling in Pythonbreakdown →
509
16 13
17
Progressive Hedging for Stochastic Economic Dispatch with AC Power Flow.
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18 22
19 1
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The PyUtilib Component Architecture.
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About John D. Siirola

John D. Siirola is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Computational Theory and Mathematics, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Process Optimization and Integration (9 papers), Advanced Control Systems Optimization (8 papers) and Electric Power System Optimization (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (97 citations), Control and Systems Engineering (589 citations) and Electrical and Electronic Engineering (678 citations). John D. Siirola has collaborated with scholars based in United States, Mexico and United Kingdom. Frequent 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. Their work appears in journals such as Applied Energy, European Journal of Operational Research and International Journal of Electrical Power & Energy Systems.

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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