Matthew M. Dunlop

About

Matthew M. Dunlop is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Geophysics. According to data from OpenAlex, Matthew M. Dunlop has authored 10 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Electrical and Electronic Engineering and 2 papers in Geophysics. Recurrent topics in Matthew M. Dunlop’s work include Gaussian Processes and Bayesian Inference (6 papers), Markov Chains and Monte Carlo Methods (2 papers) and Advanced Techniques in Reservoir Management (2 papers). Matthew M. Dunlop is often cited by papers focused on Gaussian Processes and Bayesian Inference (6 papers), Markov Chains and Monte Carlo Methods (2 papers) and Advanced Techniques in Reservoir Management (2 papers). Matthew M. Dunlop collaborates with scholars based in United States, United Kingdom and Finland. Matthew M. Dunlop's co-authors include Andrew M. Stuart, Marco Iglesias, Mark Girolami, Aretha L. Teckentrup, Erkki Somersalo, Daniela Calvetti, Dejan Slepčev, Matthew Thorpe, Tapio Helin and Yunan Yang and has published in prestigious journals such as Journal of Machine Learning Research, SIAM Journal on Scientific Computing and Inverse Problems.

In The Last Decade

Co-authorship network of co-authors of Matthew M. Dunlop i

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Fields of papers citing papers by Matthew M. Dunlop

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew M. Dunlop. 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 M. Dunlop. The network helps show where Matthew M. Dunlop may publish in the future.

Countries citing papers authored by Matthew M. Dunlop

Since Specialization

Citations

This map shows the geographic impact of Matthew M. Dunlop'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 M. Dunlop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew M. Dunlop 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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