Matt Menickelly
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research 3
- Artificial Intelligence top 10%
- Quantum Computing Algorithms and Architecture 6
- Quantum Information and Cryptography 4
- Stochastic Gradient Optimization Techniques 4
- Gaussian Processes and Bayesian Inference 2
- Neural Networks and Reservoir Computing 2
- Computational Mechanics top 10%
- Sparse and Compressive Sensing Techniques 5
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- Probabilistic and Robust Engineering Design 2
- Co-authors
- Katya ScheinbergReuven ChenStefan M. WildJosé BlanchetCoralia CartisOktay GünlükJayant KalagnanamMinhan Li
- Journals
- INFORMS journal on computing (5 papers)Mathematical Programming (2 papers)SIAM Journal on Scientific Computing (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Matt Menickelly
14 papers receiving 279 citations
Peers
Comparison fields: 5 of 59
- Numerical Analysis 63
- Artificial Intelligence 175
- Computational Mechanics 109
- Management Science and Operations Research 59
- Structural Biology 6
Countries citing papers authored by Matt Menickelly
This map shows the geographic impact of Matt Menickelly'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 Matt Menickelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Menickelly more than expected).
Fields of papers citing papers by Matt Menickelly
This network shows the impact of papers produced by Matt Menickelly. 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 Matt Menickelly. The network helps show where Matt Menickelly may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Matt Menickelly, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 2 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 34 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 29 | |
| 13 | 2019 | 62 | |
| 14 | 2018 | 14 | |
| 15 | 2018 | 10 | |
| 16 | 2017 | 90 | |
| 17 | 2017 | 1 | |
| 18 | 2016 | 11 |
About Matt Menickelly
Matt Menickelly is a scholar working on Numerical Analysis, Structural Biology, Artificial Intelligence, Statistics and Probability and Computational Mechanics, having authored 18 papers that have together received 290 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (6 papers), Sparse and Compressive Sensing Techniques (5 papers), Quantum Information and Cryptography (4 papers), Stochastic Gradient Optimization Techniques (4 papers), Advanced Optimization Algorithms Research (3 papers), Gaussian Processes and Bayesian Inference (2 papers), Neural Networks and Reservoir Computing (2 papers) and Probabilistic and Robust Engineering Design (2 papers). The work is most often cited by research in Numerical Analysis (63 citations), Artificial Intelligence (175 citations), Computational Mechanics (109 citations), Management Science and Operations Research (59 citations) and Structural Biology (6 citations). Matt Menickelly has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Katya Scheinberg, Reuven Chen, Stefan M. Wild, José Blanchet, Coralia Cartis, Oktay Günlük, Jayant Kalagnanam, Minhan Li, Charlie Vanaret and Todd Munson. Their work appears in journals such as INFORMS journal on computing, Mathematical Programming, SIAM Journal on Scientific Computing, Mathematical Programming Computation and Journal of Physics G Nuclear and Particle Physics.
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.