Matthew Daigle

80 papers and 1.6k indexed citations i.

About

Matthew Daigle is a scholar working on Control and Systems Engineering, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Matthew Daigle has authored 80 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Control and Systems Engineering, 26 papers in Artificial Intelligence and 14 papers in Automotive Engineering. Recurrent topics in Matthew Daigle’s work include Fault Detection and Control Systems (57 papers), Machine Fault Diagnosis Techniques (17 papers) and Target Tracking and Data Fusion in Sensor Networks (14 papers). Matthew Daigle is often cited by papers focused on Fault Detection and Control Systems (57 papers), Machine Fault Diagnosis Techniques (17 papers) and Target Tracking and Data Fusion in Sensor Networks (14 papers). Matthew Daigle collaborates with scholars based in United States, Spain and Finland. Matthew Daigle's co-authors include Kai Goebel, Chetan S. Kulkarni, Indranil Roychoudhury, Xenofon Koutsoukos, Shankar Sankararaman, Gautam Biswas, Aníbal Bregón, Abhinav Saxena, Gautam Biswas and Bhaskar Saha and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Control Systems Technology and IEEE Transactions on Robotics.

In The Last Decade

Co-authorship network of co-authors of Matthew Daigle i

Fields of papers citing papers by Matthew Daigle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthew Daigle

Since Specialization
Citations

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