Miles E. Lopes

17 papers and 186 indexed citations i.

About

Miles E. Lopes is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Miles E. Lopes has authored 17 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 5 papers in Computational Mechanics. Recurrent topics in Miles E. Lopes’s work include Statistical Methods and Inference (11 papers), Sparse and Compressive Sensing Techniques (5 papers) and Stochastic Gradient Optimization Techniques (4 papers). Miles E. Lopes is often cited by papers focused on Statistical Methods and Inference (11 papers), Sparse and Compressive Sensing Techniques (5 papers) and Stochastic Gradient Optimization Techniques (4 papers). Miles E. Lopes collaborates with scholars based in United States and Singapore. Miles E. Lopes's co-authors include Hans‐Georg Müller, Laurent Jacob, Martin J. Wainwright, Zhenhua Lin, Michael W. Mahoney, Shusen Wang, Alexander Aue, N. Benjamin Erichson and Thomas C. M. Lee and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Information Theory and Biometrika.

In The Last Decade

Co-authorship network of co-authors of Miles E. Lopes i

Fields of papers citing papers by Miles E. Lopes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miles E. Lopes. 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 Miles E. Lopes. The network helps show where Miles E. Lopes may publish in the future.

Countries citing papers authored by Miles E. Lopes

Since Specialization
Citations

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