Luke Marris

1.9k total citations · 2 hit papers
3 papers, 818 citations indexed

About

Luke Marris is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Luke Marris has authored 3 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Electrical and Electronic Engineering and 1 paper in Cognitive Neuroscience. Recurrent topics in Luke Marris's work include Advanced Memory and Neural Computing (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper) and Neural dynamics and brain function (1 paper). Luke Marris is often cited by papers focused on Advanced Memory and Neural Computing (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper) and Neural dynamics and brain function (1 paper). Luke Marris collaborates with scholars based in United Kingdom, Canada and United States. Luke Marris's co-authors include Geoffrey E. Hinton, Timothy Lillicrap, Adam Santoro, Colin J. Akerman, Thore Graepel, Charles Beattie, Joel Z. Leibo, David Silver, Neil C. Rabinowitz and Ari S. Morcos and has published in prestigious journals such as Science, Nature reviews. Neuroscience and arXiv (Cornell University).

In The Last Decade

Luke Marris

3 papers receiving 797 citations

Hit Papers

Backpropagation and the brain 2019 2026 2021 2023 2020 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luke Marris United Kingdom 3 398 254 206 83 75 3 818
Peter Dürr Germany 12 458 1.2× 118 0.5× 393 1.9× 96 1.2× 40 0.5× 31 997
Katsunori Shimohara Japan 17 346 0.9× 212 0.8× 65 0.3× 91 1.1× 58 0.8× 194 951
Hubert Soyer United Kingdom 5 296 0.7× 243 1.0× 53 0.3× 130 1.6× 51 0.7× 8 627
Ari S. Morcos United States 12 573 1.4× 242 1.0× 99 0.5× 434 5.2× 105 1.4× 21 1.3k
Lars Buesing United Kingdom 13 463 1.2× 628 2.5× 388 1.9× 53 0.6× 222 3.0× 28 1.1k
Jun Lee South Korea 11 277 0.7× 99 0.4× 77 0.4× 102 1.2× 62 0.8× 90 784
Andrea Soltoggio United Kingdom 15 267 0.7× 128 0.5× 98 0.5× 150 1.8× 41 0.5× 43 694
Adrià Puigdomènech Badia United States 7 589 1.5× 104 0.4× 170 0.8× 191 2.3× 16 0.2× 9 875
Janardan Misra India 6 293 0.7× 87 0.3× 314 1.5× 61 0.7× 75 1.0× 26 585

Countries citing papers authored by Luke Marris

Since Specialization
Citations

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

Fields of papers citing papers by Luke Marris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luke Marris

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

All Works

3 of 3 papers shown
1.
Lillicrap, Timothy, Adam Santoro, Luke Marris, Colin J. Akerman, & Geoffrey E. Hinton. (2020). Backpropagation and the brain. Nature reviews. Neuroscience. 21(6). 335–346. 432 indexed citations breakdown →
2.
Jaderberg, Max, Wojciech Marian Czarnecki, Iain Dunning, et al.. (2019). Human-level performance in 3D multiplayer games with population-based reinforcement learning. Science. 364(6443). 859–865. 349 indexed citations breakdown →
3.
Bartunov, Sergey, Adam Santoro, Blake A. Richards, et al.. (2018). Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures. arXiv (Cornell University). 31. 9368–9378. 37 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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