Matthew Parno
Impact in
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- Probabilistic and Robust Engineering Design
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Advanced Multi-Objective Optimization Algorithms 5
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- Probabilistic and Robust Engineering Design 6
- Co-authors
- Kathleen Fowler (4 shared papers)Joel P. Conte (2 shared papers)Manuel A. Vega (2 shared papers)Zhen Hu (2 shared papers)Michael D. Todd (2 shared papers)Devin O’Connor (2 shared papers)Matthew W. Farthing (2 shared papers)Eleanor W. Jenkins (3 shared papers)
- Journals
- Mechanical Systems and Signal Processing (3 papers)Journal of Scientific Computing (1 paper)Computers & Geosciences (1 paper)Environmental Modelling & Software (1 paper)Computational Particle Mechanics (1 paper)
- Partner nations
- United StatesGermanyNorway
In The Last Decade
Matthew Parno
19 papers receiving 169 citations
Peers
Comparison fields: 5 of 64
- Statistics, Probability and Uncertainty 37
- Computational Theory and Mathematics 36
- Civil and Structural Engineering 39
- Computational Mathematics 1
- Ocean Engineering 20
Countries citing papers authored by Matthew Parno
This map shows the geographic impact of Matthew Parno'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 Matthew Parno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Parno more than expected).
Fields of papers citing papers by Matthew Parno
This network shows the impact of papers produced by Matthew Parno. 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 Matthew Parno. The network helps show where Matthew Parno may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Parno, 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 | 2011 | 30 | |
| 2 | 2015 | 22 | |
| 3 | 2022 | 18 | |
| 4 | 2022 | 18 | |
| 5 | 2022 | 14 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2021 | 9 | |
| 9 | Framework for Particle Swarm Optimization with Surrogate Functions | 2009 | 8 |
| 10 | 2021 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2018 | 5 | |
| 13 | 2024 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2016 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2021 | 1 | |
| 20 | Derivative-Free Optimization Via Evolutionary Algorithms Guiding Local Search | 2011 | 0 |
About Matthew Parno
Matthew Parno is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty, Ocean Engineering, Artificial Intelligence and Civil and Structural Engineering, having authored 20 papers that have together received 174 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Water resources management and optimization (3 papers), Climate change and permafrost (3 papers), Arctic and Antarctic ice dynamics (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Cryospheric studies and observations (3 papers) and Evolutionary Algorithms and Applications (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (37 citations), Computational Theory and Mathematics (36 citations), Civil and Structural Engineering (39 citations), Computational Mathematics (1 citation) and Ocean Engineering (20 citations). Matthew Parno has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Kathleen Fowler, Joel P. Conte, Manuel A. Vega, Zhen Hu, Michael D. Todd, Devin O’Connor, Matthew W. Farthing, Eleanor W. Jenkins, Chen Jiang and Christopher Polashenski. Their work appears in journals such as Mechanical Systems and Signal Processing, Journal of Scientific Computing, Computers & Geosciences, Environmental Modelling & Software and Computational Particle Mechanics.
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.