Dan Barnes

About

Dan Barnes is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Dan Barnes has authored 6 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Aerospace Engineering, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Dan Barnes’s work include Robotics and Sensor-Based Localization (5 papers), Advanced Neural Network Applications (2 papers) and Indoor and Outdoor Localization Technologies (2 papers). Dan Barnes is often cited by papers focused on Robotics and Sensor-Based Localization (5 papers), Advanced Neural Network Applications (2 papers) and Indoor and Outdoor Localization Technologies (2 papers). Dan Barnes collaborates with scholars based in United Kingdom. Dan Barnes's co-authors include Ingmar Posner, Paul Newman, Matthew Gadd, Paul Murcutt, Daniele De Martini, Will Maddern and Geoffrey Pascoe and has published in prestigious journals such as IEEE Robotics and Automation Letters, arXiv (Cornell University) and 2022 IEEE Intelligent Vehicles Symposium (IV).

In The Last Decade

Co-authorship network of co-authors of Dan Barnes i

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Fields of papers citing papers by Dan Barnes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Barnes

Since Specialization

Citations

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