Daniel Lenton

1.5k total citations
2 papers, 79 citations indexed

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 2 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 2 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 Robotics and Sensor-Based Localization (2 papers), Advanced Neural Network Applications (1 paper) and Robot Manipulation and Learning (1 paper). Daniel Lenton is often cited by papers focused on Robotics and Sensor-Based Localization (2 papers), Advanced Neural Network Applications (1 paper) and Robot Manipulation and Learning (1 paper). Daniel Lenton collaborates with scholars based in United Kingdom and Canada. Daniel Lenton's co-authors include Stephen James, Andrew J. Davison, Kentaro Wada, Sajad Saeedi and Ronald Clark and has published in prestigious journals such as .

In The Last Decade

Daniel Lenton

2 papers receiving 77 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Lenton United Kingdom	2	55	53	53	10	10	2	79
Caner Şahin United Kingdom	5	107 1.9×	76 1.4×	100 1.9×	15 1.5×	18 1.8×	11	151
Wadim Kehl Germany	5	59 1.1×	10 0.2×	34 0.6×	23 2.3×	8 0.8×	7	74
Jérémie Deray Spain	6	50 0.9×	27 0.5×	52 1.0×	6 0.6×	7 0.7×	7	77
Kirsty Ellis United Kingdom	5	68 1.2×	30 0.6×	25 0.5×	5 0.5×	18 1.8×	6	124
Daniel DeTone United States	5	101 1.8×	13 0.2×	81 1.5×	22 2.2×	10 1.0×	7	141
Yann Labbé France	5	83 1.5×	68 1.3×	42 0.8×	2 0.2×	13 1.3×	6	123
D. Büscher Germany	6	45 0.8×	30 0.6×	43 0.8×	11 1.1×	6 0.6×	12	101
Mel Vecerík United Kingdom	4	54 1.0×	49 0.9×	17 0.3×	4 0.4×	20 2.0×	4	110
Lucas Nogueira Brazil	2	60 1.1×	11 0.2×	105 2.0×	40 4.0×	5 0.5×	3	130
Tomáš Jakab United Kingdom	6	95 1.7×	15 0.3×	16 0.3×	13 1.3×	5 0.5×	9	122

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).

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.

Co-authorship network of co-authors of Daniel Lenton

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Lenton. A scholar is included among the top collaborators of Daniel Lenton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Lenton. Daniel Lenton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

James, Stephen, et al.. (2021). Waypoint Planning Networks. 87–94. 9 indexed citations

2.

Wada, Kentaro, et al.. (2020). MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion. 14528–14537. 70 indexed citations

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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