Malcolm Reynolds

About

Malcolm Reynolds is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Malcolm Reynolds has authored 5 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition 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 Remote Sensing and LiDAR Applications (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 Remote Sensing and LiDAR Applications (1 paper). Malcolm Reynolds collaborates with scholars based in United Kingdom and United States. Malcolm Reynolds's co-authors include Phil Blunsom, Christopher Summerfield, Tim Harley, Greg Wayne, John Agapiou, Adrià Puigdomènech Badia, Yori Zwólš, Edward Grefenstette, Georg Ostrovski and Ivo Danihelka and has published in prestigious journals such as Nature, CiteSeer X (The Pennsylvania State University) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Malcolm Reynolds i

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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.

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).

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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