Matthew Garratt

154 papers and 2.0k indexed citations i.

About

Matthew Garratt is a scholar working on Aerospace Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matthew Garratt has authored 154 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Aerospace Engineering, 60 papers in Control and Systems Engineering and 58 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matthew Garratt’s work include Adaptive Control of Nonlinear Systems (44 papers), Robotic Path Planning Algorithms (37 papers) and Robotics and Sensor-Based Localization (30 papers). Matthew Garratt is often cited by papers focused on Adaptive Control of Nonlinear Systems (44 papers), Robotic Path Planning Algorithms (37 papers) and Robotics and Sensor-Based Localization (30 papers). Matthew Garratt collaborates with scholars based in Australia, Singapore and United States. Matthew Garratt's co-authors include Sreenatha G. Anavatti, Fendy Santoso, H. R. Pota, Vu Phi Tran, Hussein A. Abbass, Ian R. Petersen, Mahardhika Pratama, Andrew Lambert, Md Meftahul Ferdaus and Javaan Chahl and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Animal Behaviour and Expert Systems with Applications.

In The Last Decade

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

Fields of papers citing papers by Matthew Garratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthew Garratt

Since Specialization
Citations

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