Luke Marris

1.9k citations
3 papers · 818 indexed · 2 hit papers · h-index 3
Topics
Advanced Memory and Neural Computing (2 papers)Ferroelectric and Negative Capacitance Devices (1 paper)Neural dynamics and brain function (1 paper)
Journals
ScienceNature reviews. NeurosciencearXiv (Cornell University)

In The Last Decade

Luke Marris

3 papers receiving 797 citations

Hit Papers

Backpropagation and the brain201920262021202320202019100200300400

Peers

Luke Marris
Comparison fields: 5 of 118
  • Artificial Intelligence 398
  • Cognitive Neuroscience 254
  • Electrical and Electronic Engineering 206
  • Computer Vision and Pattern Recognition 83
  • Cellular and Molecular Neuroscience 75
Replace Lars Buesing with:
Lars Buesing United Kingdom
Andrew Saxe United Kingdom
Ari S. Morcos United States
Nakul Verma United States
Andrea Soltoggio United Kingdom
Olivier Sigaud France
Antonio Chella Italy
Ron Chrisley United Kingdom
Jun Lee South Korea
Felipe Meneguzzi Brazil
Luke Marris relative to Lars Buesing United Kingdom Lars Buesing's profile →
Citations per field
00.5×1.5×2.0×
Lars Buesing · 1×
Citations per year

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
#WorkIndexed citations
1
Backpropagation and the brainbreakdown →
432
2
Human-level performance in 3D multiplayer games with population-based reinforcement learningbreakdown →
349
3 37

About Luke Marris

Luke Marris is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 3 papers that have together received 818 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Cognitive Neuroscience (254 citations), Artificial Intelligence (398 citations) and Health Informatics (8 citations). Luke Marris has collaborated with scholars based in United Kingdom, Canada and United States. Frequent 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. Their work appears in journals such as Science, Nature reviews. Neuroscience and arXiv (Cornell University).

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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