John Agapiou

7.6k citations
23 papers · 4.1k · 3 hit papers · h-index 12

Impact in

Papers in

John Agapiou

21 papers receiving 3.9k citations

John Agapiou's Hit Papers

Grandmaster level in StarCraft II using multi-agent reinforcement learning 2019 · 2.2k citations
2.2k0+3+6Years since publication50010001.5k2.0k

Peers

John Agapiou
Comparison fields: 5 of 154
  • Artificial Intelligence 2.3k
  • Computer Vision and Pattern Recognition 602
  • Automotive Engineering 271
  • Control and Systems Engineering 510
  • Management Science and Operations Research 248
Replace Wojciech Marian Czarnecki with:
Wojciech Marian Czarnecki Poland
Dan Horgan United Kingdom
Ivo Danihelka United Kingdom
Dani Yogatama United States
David Budden Australia
Ziyu Wang China
Michaël Mathieu France
Junhyuk Oh United States
Petko Georgiev United Kingdom
Tobias Pfaff United Kingdom
John Agapiou relative to Wojciech Marian Czarnecki Poland Wojciech Marian Czarnecki's profile →
Citations per field
00.5×2×3×3.8×
Wojciech Marian Czarnecki · 1×
Citations per year

Countries citing papers authored by John Agapiou

Since Specialization
Citations

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

Fields of papers citing papers by John Agapiou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Agapiou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Agapiou Line = papers co-authored together John Agapiou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Grandmaster level in StarCraft II using multi-agent reinforcement learning
Hit paper breakdown →
20192212
2
Hybrid computing using a neural network with dynamic external memory
Hit paper breakdown →
2016853
3
Deep Q-learning From Demonstrations
Hit paper breakdown →
2018583
4 2016156
5 200071
6 199540
7 200925
8
Strategic Attentive Writer for Learning Macro-Actions
201621
9 202117
10 200816
11 200916
12 201913
13 202312
14 201910
15 20199
16 20128
17 20173
18 20242
19 20242
20 20221

About John Agapiou

John Agapiou is a scholar working on Industrial and Manufacturing Engineering, Electronic, Optical and Magnetic Materials, Mechanical Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 23 papers that have together received 4.1k indexed citations. Recurring topics across this work include Magnetic Properties and Applications (5 papers), Advanced Measurement and Metrology Techniques (4 papers), Electric Motor Design and Analysis (4 papers), Reinforcement Learning in Robotics (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Metallurgy and Material Forming (2 papers), Sensorless Control of Electric Motors (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Artificial Intelligence (2.3k citations), Computer Vision and Pattern Recognition (602 citations), Automotive Engineering (271 citations), Control and Systems Engineering (510 citations) and Management Science and Operations Research (248 citations). John Agapiou has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include David A. Stephenson, Koray Kavukcuoglu, Alex M Graves, Joel Z. Leibo, Agnieszka Grabska‐Barwińska, Ivo Danihelka, Phil Blunsom, Georg Ostrovski, Christopher Summerfield and Adrià Puigdomènech Badia. Their work appears in journals such as CIRP Annals, Behavioral and Brain Sciences, Nature, Journal of Neurophysiology and Journal of Quality Technology.

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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