Matt Menickelly

16 papers and 462 indexed citations i.

About

Matt Menickelly is a scholar working on Artificial Intelligence, Computational Mechanics and Numerical Analysis. According to data from OpenAlex, Matt Menickelly has authored 16 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computational Mechanics and 5 papers in Numerical Analysis. Recurrent topics in Matt Menickelly’s work include Stochastic Gradient Optimization Techniques (6 papers), Sparse and Compressive Sensing Techniques (6 papers) and Advanced Optimization Algorithms Research (4 papers). Matt Menickelly is often cited by papers focused on Stochastic Gradient Optimization Techniques (6 papers), Sparse and Compressive Sensing Techniques (6 papers) and Advanced Optimization Algorithms Research (4 papers). Matt Menickelly collaborates with scholars based in United States, Germany and Canada. Matt Menickelly's co-authors include Stefan M. Wild, Jeffrey Larson, Katya Scheinberg, Reuven Chen, Coralia Cartis, José Blanchet, Jayant Kalagnanam, Minhan Li, Oktay Günlük 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

Co-authorship network of co-authors of Matt Menickelly i

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.

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).

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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2025