Malcolm Reynolds

21 total papers · 4.2k total citations
5 papers, 802 citations indexed

About

Malcolm Reynolds is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Malcolm Reynolds has authored 5 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Malcolm Reynolds's work include Domain Adaptation and Few-Shot Learning (2 papers), Reinforcement Learning in Robotics (2 papers) and Video Surveillance and Tracking Methods (1 paper). Malcolm Reynolds is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Reinforcement Learning in Robotics (2 papers) and Video Surveillance and Tracking Methods (1 paper). Malcolm Reynolds collaborates with scholars based in United Kingdom and United States. Malcolm Reynolds's co-authors include Tim Harley, Sergio Gómez Colmenarejo, Greg Wayne, John Agapiou, Ivo Danihelka, Demis Hassabis, Yori Zwólš, Adrià Puigdomènech Badia, Phil Blunsom and Koray Kavukcuoglu and has published in prestigious journals such as Nature, Data Archiving and Networked Services (DANS) and arXiv (Cornell University).

In The Last Decade

Malcolm Reynolds

5 papers receiving 759 citations

Hit Papers

Hybrid computing using a ... 2016 2026 2019 2022 2016 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Malcolm Reynolds 491 224 153 87 54 5 802
Tim Harley 510 1.0× 191 0.9× 156 1.0× 92 1.1× 61 1.1× 7 789
Sergio Gómez Colmenarejo 494 1.0× 190 0.8× 156 1.0× 87 1.0× 55 1.0× 8 757
Adrià Puigdomènech Badia 588 1.2× 192 0.9× 168 1.1× 103 1.2× 72 1.3× 9 867
Michael Hüsken 422 0.9× 227 1.0× 126 0.8× 58 0.7× 49 0.9× 9 914
Thomas Burr 298 0.6× 150 0.7× 112 0.7× 57 0.7× 38 0.7× 8 1.0k
Olivier Breuleux 434 0.9× 350 1.6× 86 0.6× 36 0.4× 26 0.5× 5 873
Yori Zwólš 446 0.9× 161 0.7× 204 1.3× 85 1.0× 85 1.6× 15 809
Rebecca Gorman 687 1.4× 197 0.9× 75 0.5× 76 0.9× 56 1.0× 11 1.0k
Bernardino Romera‐Paredes 317 0.6× 237 1.1× 58 0.4× 87 1.0× 53 1.0× 18 991
Frédéric Bastien 436 0.9× 348 1.6× 84 0.5× 36 0.4× 21 0.4× 8 884

Countries citing papers authored by Malcolm Reynolds

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Reynolds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm Reynolds

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm Reynolds. A scholar is included among the top collaborators of Malcolm Reynolds 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 Malcolm Reynolds. Malcolm Reynolds 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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