Carl D. Laird
- Numerical Analysis top 2%
- Advanced Optimization Algorithms Research 10
- Control and Systems Engineering top 0.5%
- Advanced Control Systems Optimization 25
- Process Optimization and Integration 21
- Fault Detection and Control Systems 7
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- Risk and Safety Analysis 7
- Environmental Engineering top 5%
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- Water Systems and Optimization 19
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- Water Treatment and Disinfection 11
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- Optimal Power Flow Distribution 7
- Co-authors
- Lorenz T. BieglerJean‐Paul WatsonDavid L. WoodruffJohn D. SiirolaBethany L. NicholsonWilliam E. HartVíctor M. ZavalaBart G. van Bloemen Waanders
- Journals
- PLoS ONE (1 paper)The Journal of Physical Chemistry C (1 paper)IEEE Transactions on Power Systems (3 papers)
- Partner nations
- United StatesGhanaSweden
In The Last Decade
Carl D. Laird
82 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Numerical Analysis 339
- Control and Systems Engineering 1.4k
- Statistics, Probability and Uncertainty 240
- Energy Engineering and Power Technology 99
- Environmental Engineering 340
Countries citing papers authored by Carl D. Laird
This map shows the geographic impact of Carl D. Laird'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 Carl D. Laird with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl D. Laird more than expected).
Fields of papers citing papers by Carl D. Laird
This network shows the impact of papers produced by Carl D. Laird. 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 Carl D. Laird. The network helps show where Carl D. Laird may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carl D. Laird, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2018 | 16 | |
| 17 | 2018 | 22 | |
| 18 | 2012 | 10 | |
| 19 | 2010 | 1 | |
| 20 | An algorithmic framework for convex mixed integer nonlinear programsbreakdown → | 2007 | 603 |
About Carl D. Laird
Carl D. Laird is a scholar working on Numerical Analysis, Control and Systems Engineering and Statistics, Probability and Uncertainty, having authored 90 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (25 papers), Process Optimization and Integration (21 papers), Water Systems and Optimization (19 papers), Water Treatment and Disinfection (11 papers), Advanced Optimization Algorithms Research (10 papers), Fault Detection and Control Systems (7 papers), Risk and Safety Analysis (7 papers) and Optimal Power Flow Distribution (7 papers). The work is most often cited by research in Numerical Analysis (339 citations), Control and Systems Engineering (1.4k citations) and Statistics, Probability and Uncertainty (240 citations). Carl D. Laird has collaborated with scholars based in United States, Ghana and Sweden. Frequent co-authors include Lorenz T. Biegler, Jean‐Paul Watson, David L. Woodruff, John D. Siirola, Bethany L. Nicholson, William E. Hart, Víctor M. Zavala, Bart G. van Bloemen Waanders, Gabriel A. Hackebeil and Ignacio E. Grossmann. Their work appears in journals such as PLoS ONE, The Journal of Physical Chemistry C and IEEE Transactions on Power 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.