Matt Menickelly

550 total citations
18 papers, 290 citations indexed

About

Matt Menickelly is a scholar working on Artificial Intelligence, Computational Mechanics and Numerical Analysis. According to data from OpenAlex, Matt Menickelly has authored 18 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computational Mechanics and 4 papers in Numerical Analysis. Recurrent topics in Matt Menickelly's work include Quantum Computing Algorithms and Architecture (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Stochastic Gradient Optimization Techniques (4 papers). Matt Menickelly is often cited by papers focused on Quantum Computing Algorithms and Architecture (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Stochastic Gradient Optimization Techniques (4 papers). Matt Menickelly collaborates with scholars based in United States, Canada and Germany. Matt Menickelly's co-authors include Katya Scheinberg, Reuven Chen, Stefan M. Wild, Coralia Cartis, José Blanchet, Minhan Li, Oktay Günlük, Jayant Kalagnanam, Charlie Vanaret and Sven Leyffer and has published in prestigious journals such as Mathematical Programming, SIAM Journal on Scientific Computing and SIAM Journal on Optimization.

In The Last Decade

Matt Menickelly

14 papers receiving 279 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matt Menickelly United States 10 175 109 63 59 53 18 290
Olivier Devolder Belgium 5 148 0.8× 143 1.3× 113 1.8× 16 0.3× 41 0.8× 5 292
Samy Wu Fung United States 9 78 0.4× 52 0.5× 23 0.4× 20 0.3× 28 0.5× 20 308
Max Simchowitz United States 6 140 0.8× 148 1.4× 52 0.8× 19 0.3× 39 0.7× 18 326
Yuyuan Ouyang United States 5 141 0.8× 243 2.2× 134 2.1× 39 0.7× 104 2.0× 17 348
Adrien Taylor France 10 158 0.9× 194 1.8× 161 2.6× 16 0.3× 84 1.6× 23 329
Saeed Ketabchi Iran 12 77 0.4× 49 0.4× 169 2.7× 22 0.4× 143 2.7× 35 318
Douglas S. Gonçalves Brazil 10 74 0.4× 75 0.7× 67 1.1× 6 0.1× 73 1.4× 34 259
Adityanand Guntuboyina United States 10 105 0.6× 93 0.9× 15 0.2× 25 0.4× 19 0.4× 27 332
Elias S. Helou Brazil 10 44 0.3× 114 1.0× 61 1.0× 11 0.2× 59 1.1× 29 301
Gong Chen United States 3 36 0.2× 123 1.1× 153 2.4× 30 0.5× 174 3.3× 4 278

Countries citing papers authored by Matt Menickelly

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Matt Menickelly

This figure shows the co-authorship network connecting the top 25 collaborators of Matt Menickelly. A scholar is included among the top collaborators of Matt Menickelly 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 Matt Menickelly. Matt Menickelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
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Menickelly, Matt, et al.. (2024). Two-Stage Estimation and Variance Modeling for Latency-Constrained Variational Quantum Algorithms. INFORMS journal on computing. 37(1). 125–145. 2 indexed citations
4.
Larson, Jeffrey, et al.. (2024). A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms. INFORMS journal on computing. 37(1). 63–85. 2 indexed citations
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Menickelly, Matt, et al.. (2023). Latency considerations for stochastic optimizers in variational quantum algorithms. Quantum. 7. 949–949. 13 indexed citations
7.
Larson, Jeffrey & Matt Menickelly. (2023). Structure-aware methods for expensive derivative-free nonsmooth composite optimization. Mathematical Programming Computation. 16(1). 1–36. 2 indexed citations
8.
Brown, Jed, Yunhui He, Scott MacLachlan, Matt Menickelly, & Stefan M. Wild. (2021). Tuning Multigrid Methods with Robust Optimization and Local Fourier Analysis. SIAM Journal on Scientific Computing. 43(1). A109–A138. 10 indexed citations
9.
Günlük, Oktay, Jayant Kalagnanam, Minhan Li, Matt Menickelly, & Katya Scheinberg. (2021). Optimal decision trees for categorical data via integer programming. Journal of Global Optimization. 81(1). 233–260. 34 indexed citations
10.
Menickelly, Matt, et al.. (2020). Optimization and supervised machine learning methods for fitting numerical physics models without derivatives *. Journal of Physics G Nuclear and Particle Physics. 48(2). 24001–24001. 9 indexed citations
11.
Phan, Dzung T. & Matt Menickelly. (2020). On the Solution of ℓ0-Constrained Sparse Inverse Covariance Estimation Problems. INFORMS journal on computing. 1 indexed citations
12.
Leyffer, Sven, Matt Menickelly, Todd Munson, Charlie Vanaret, & Stefan M. Wild. (2020). A survey of nonlinear robust optimization. INFOR Information Systems and Operational Research. 58(2). 342–373. 29 indexed citations
13.
Blanchet, José, Coralia Cartis, Matt Menickelly, & Katya Scheinberg. (2019). Convergence Rate Analysis of a Stochastic Trust-Region Method via Supermartingales. 1(2). 92–119. 62 indexed citations
14.
Menickelly, Matt & Stefan M. Wild. (2018). Derivative-free robust optimization by outer approximations. Mathematical Programming. 179(1-2). 157–193. 14 indexed citations
15.
Ulvestad, Andrew, Matt Menickelly, & Stefan M. Wild. (2018). Accurate, rapid identification of dislocation lines in coherent diffractive imaging via a min-max optimization formulation. AIP Advances. 8(1). 10 indexed citations
16.
Chen, Reuven, Matt Menickelly, & Katya Scheinberg. (2017). Stochastic optimization using a trust-region method and random models. Mathematical Programming. 169(2). 447–487. 90 indexed citations
17.
Phan, Dzung T., Tsuyoshi Idé, Jayant Kalagnanam, Matt Menickelly, & Katya Scheinberg. (2017). A Novel l0-Constrained Gaussian Graphical Model for Anomaly Localization. 830–833. 1 indexed citations
18.
Larson, Jeffrey, Matt Menickelly, & Stefan M. Wild. (2016). Manifold Sampling for $\ell_1$ Nonconvex Optimization. SIAM Journal on Optimization. 26(4). 2540–2563. 11 indexed citations

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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2026