Malcolm Reynolds

4.2k total citations · 1 hit paper
5 papers, 809 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 809 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 Machine Learning and Data Classification (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 Machine Learning and Data Classification (1 paper). Malcolm Reynolds collaborates with scholars based in United Kingdom and United States. Malcolm Reynolds's co-authors include Sergio Gómez Colmenarejo, Tim Harley, Adrià Puigdomènech Badia, Yori Zwólš, Georg Ostrovski, Agnieszka Grabska‐Barwińska, Ivo Danihelka, Demis Hassabis, Tiago Ramalho and Phil Blunsom 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 767 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hybrid computing using a neural network with dynamic external memory

2016 683 citations Alex Graves, Greg Wayne et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Malcolm Reynolds United Kingdom	5	491	223	155	87	54	5	809
Sergio Gómez Colmenarejo United States	5	494 1.0×	189 0.8×	158 1.0×	87 1.0×	55 1.0×	8	764
Adrià Puigdomènech Badia United States	7	589 1.2×	191 0.9×	170 1.1×	104 1.2×	72 1.3×	9	875
Tim Harley United Kingdom	6	510 1.0×	190 0.9×	159 1.0×	92 1.1×	61 1.1×	7	797
Yori Zwólš United States	9	446 0.9×	160 0.7×	206 1.3×	85 1.0×	85 1.6×	15	816
Robert M. Patton United States	15	447 0.9×	153 0.7×	248 1.6×	78 0.9×	72 1.3×	67	865
Phil Blunsom United Kingdom	14	966 2.0×	235 1.1×	345 2.2×	89 1.0×	57 1.1×	29	1.4k
Anirudh Goyal Canada	7	518 1.1×	213 1.0×	52 0.3×	51 0.6×	37 0.7×	38	901
Kamlesh Mistry United Kingdom	10	304 0.6×	309 1.4×	55 0.4×	35 0.4×	52 1.0×	27	733
Karl Moritz Hermann United Kingdom	11	1.1k 2.3×	272 1.2×	160 1.0×	91 1.0×	67 1.2×	16	1.5k

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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5 of 5 papers shown

1.

Wang, Jane X., Michael C. King, Zeb Kurth‐Nelson, et al.. (2021). Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents. arXiv (Cornell University). 4 indexed citations

2.

Kulkarni, Tejas D., Ankush Gupta, Catalin Ionescu, et al.. (2019). Unsupervised Learning of Object Keypoints for Perception and Control. arXiv (Cornell University). 32. 10723–10733. 14 indexed citations

3.

Graves, Alex, Greg Wayne, Malcolm Reynolds, et al.. (2016). Hybrid computing using a neural network with dynamic external memory. Nature. 538(7626). 471–476. 683 indexed citations breakdown →

4.

Fernando, Chrisantha, Dylan Banarse, Malcolm Reynolds, et al.. (2016). Convolution by Evolution. 109–116. 44 indexed citations

5.

Reynolds, Malcolm, et al.. (2011). Capturing Time-of-Flight data with confidence. Data Archiving and Networked Services (DANS). 945–952. 64 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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