Brian M. de Silva

8 papers and 314 indexed citations i.

About

Brian M. de Silva is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Brian M. de Silva has authored 8 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Statistical and Nonlinear Physics and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Brian M. de Silva’s work include Model Reduction and Neural Networks (5 papers), Probabilistic and Robust Engineering Design (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Brian M. de Silva is often cited by papers focused on Model Reduction and Neural Networks (5 papers), Probabilistic and Robust Engineering Design (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Brian M. de Silva collaborates with scholars based in United States, France and China. Brian M. de Silva's co-authors include J. Nathan Kutz, Steven L. Brunton, Jean-Christophe Loiseau, Kathleen Champion, Markus Quade, David Higdon, Jared Callaham, Charles B. Delahunt, Alan A. Kaptanoglu and Urban Fasel and has published in prestigious journals such as AIAA Journal, Machine Learning Science and Technology and Frontiers in Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Brian M. de Silva i

Fields of papers citing papers by Brian M. de Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. de Silva. 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 Brian M. de Silva. The network helps show where Brian M. de Silva may publish in the future.

Countries citing papers authored by Brian M. de Silva

Since Specialization
Citations

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