Daniel Lenton

3 papers and 70 indexed citations i.

About

Daniel Lenton is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Daniel Lenton has authored 3 papers receiving a total of 70 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Aerospace Engineering and 1 paper in Control and Systems Engineering. Recurrent topics in Daniel Lenton’s work include Robotic Path Planning Algorithms (2 papers), Robotics and Sensor-Based Localization (2 papers) and Advanced Neural Network Applications (1 paper). Daniel Lenton is often cited by papers focused on Robotic Path Planning Algorithms (2 papers), Robotics and Sensor-Based Localization (2 papers) and Advanced Neural Network Applications (1 paper). Daniel Lenton collaborates with scholars based in United Kingdom and Canada. Daniel Lenton's co-authors include Stephen James, Edgar Sucar, Andrew J. Davison, Kentaro Wada, Ronald Clark and Sajad Saeedi and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Co-authorship network of co-authors of Daniel Lenton i

Fields of papers citing papers by Daniel Lenton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Lenton

Since Specialization
Citations

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