Mae Seto

52 papers and 1.9k indexed citations i.

About

Mae Seto is a scholar working on Ocean Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mae Seto has authored 52 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Ocean Engineering, 25 papers in Aerospace Engineering and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mae Seto’s work include Underwater Vehicles and Communication Systems (29 papers), Robotics and Sensor-Based Localization (20 papers) and Robotic Path Planning Algorithms (16 papers). Mae Seto is often cited by papers focused on Underwater Vehicles and Communication Systems (29 papers), Robotics and Sensor-Based Localization (20 papers) and Robotic Path Planning Algorithms (16 papers). Mae Seto collaborates with scholars based in Canada, United States and France. Mae Seto's co-authors include Howard Li, Sajad Saeedi, Liam Paull, Michael Trentini, John J. Leonard, Casey Lambert, Meyer Nahon, V. J. Modi, Bradley J. Buckham and B. Ahlborn and has published in prestigious journals such as The Journal of the Acoustical Society of America, Sensors and Physics Letters A.

In The Last Decade

Co-authorship network of co-authors of Mae Seto i

Fields of papers citing papers by Mae Seto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mae Seto

Since Specialization
Citations

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