Eloise Matheson

48 total papers · 971 total citations
22 papers, 594 citations indexed

About

Eloise Matheson is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Eloise Matheson has authored 22 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Control and Systems Engineering. Recurrent topics in Eloise Matheson's work include Soft Robotics and Applications (8 papers), Augmented Reality Applications (6 papers) and Robot Manipulation and Learning (5 papers). Eloise Matheson is often cited by papers focused on Soft Robotics and Applications (8 papers), Augmented Reality Applications (6 papers) and Robot Manipulation and Learning (5 papers). Eloise Matheson collaborates with scholars based in Switzerland, United Kingdom and Spain. Eloise Matheson's co-authors include Giulio Rosati, Maurizio Faccio, Riccardo Minto, Ferdinando Rodriguez y Baena, Mario Di Castro, R. Marı́n, Thomas R. E. Barnes, E.M. Joyce, María A. Ron and Stan Mutsatsa and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Eloise Matheson

17 papers receiving 573 citations

Hit Papers

Human–Robot Collaboration... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eloise Matheson 202 154 136 100 96 22 594
Matteo Malosio 135 0.7× 63 0.4× 305 2.2× 45 0.5× 80 0.8× 62 620
Pedro Miguel Moreira 65 0.3× 103 0.7× 52 0.4× 57 0.6× 29 0.3× 46 633
M. Skubic 210 1.0× 39 0.3× 197 1.4× 74 0.7× 57 0.6× 32 659
Glauco A. P. Caurin 118 0.6× 36 0.2× 236 1.7× 66 0.7× 23 0.2× 74 526
Sumit Kumar Das 135 0.7× 73 0.5× 83 0.6× 51 0.5× 69 0.7× 41 565
Sharon Stansfield 296 1.5× 26 0.2× 125 0.9× 100 1.0× 37 0.4× 42 698
Alberto Parmiggiani 184 0.9× 73 0.5× 240 1.8× 127 1.3× 40 0.4× 35 539
T. Szécsi 43 0.2× 216 1.4× 77 0.6× 184 1.8× 64 0.7× 21 573
Ilias El Makrini 184 0.9× 157 1.0× 145 1.1× 62 0.6× 190 2.0× 29 565
Pablo Bustos 124 0.6× 32 0.2× 51 0.4× 35 0.3× 196 2.0× 61 580

Countries citing papers authored by Eloise Matheson

Since Specialization
Citations

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

Fields of papers citing papers by Eloise Matheson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eloise Matheson

This figure shows the co-authorship network connecting the top 25 collaborators of Eloise Matheson. A scholar is included among the top collaborators of Eloise Matheson 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 Eloise Matheson. Eloise Matheson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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