Will Maddern

13 papers and 1.4k indexed citations i.

About

Will Maddern is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Will Maddern has authored 13 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 3 papers in Environmental Engineering. Recurrent topics in Will Maddern’s work include Robotics and Sensor-Based Localization (10 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Advanced Neural Network Applications (4 papers). Will Maddern is often cited by papers focused on Robotics and Sensor-Based Localization (10 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Advanced Neural Network Applications (4 papers). Will Maddern collaborates with scholars based in United Kingdom, Australia and Japan. Will Maddern's co-authors include Paul Newman, Geoffrey Pascoe, Michael Milford, Gordon Wyeth, Alastair Harrison, Dan Barnes, Ingmar Posner, Torsten Sattler, Masatoshi Okutomi and Carl Toft and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The International Journal of Robotics Research and QUT ePrints (Queensland University of Technology).

In The Last Decade

Co-authorship network of co-authors of Will Maddern i

Fields of papers citing papers by Will Maddern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Will Maddern

Since Specialization
Citations

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