Sam Devlin

1.7k citations
54 papers · 879 indexed · h-index 15

Impact in

Papers in

Sam Devlin

53 papers receiving 835 citations

Peers

Sam Devlin
Comparison fields: 5 of 77
  • Artificial Intelligence 515
  • Management Information Systems 90
  • Management Science and Operations Research 101
  • Marketing 74
  • Computational Theory and Mathematics 92
Replace Nasser Ghasem-Aghaee with:
Nasser Ghasem-Aghaee Iran
Mei‐Hui Wang Taiwan
Zikai Alex Wen United States
Alaa Omran Almagrabi Saudi Arabia
Mehdi Dastani Netherlands
Hao Lin China
Michael Rovatsos United Kingdom
Geun‐Sik Jo South Korea
Magdalini Eirinaki United States
Josep Lluís de la Rosa Spain
Sam Devlin relative to Nasser Ghasem-Aghaee Iran Nasser Ghasem-Aghaee's profile →
Citations per field
00.5×3.3×
Nasser Ghasem-Aghaee · 1×
Citations per year

Countries citing papers authored by Sam Devlin

Since Specialization
Citations

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

Fields of papers citing papers by Sam Devlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sam Devlin, 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 Sam Devlin Line = papers co-authored together Sam Devlin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201787
2 201275
3 201969
4 201556
5 201149
6 201148
7 201548
8 201443
9 201839
10 201836
11 201727
12 201525
13 201620
14 201619
15 201618
16 201614
17 201914
18 201914
19 201913
20 201513

About Sam Devlin

Sam Devlin is a scholar working on Artificial Intelligence, Management Science and Operations Research, Software, Computational Theory and Mathematics and Developmental and Educational Psychology, having authored 54 papers that have together received 879 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (31 papers), Artificial Intelligence in Games (19 papers), Digital Games and Media (9 papers), Evolutionary Algorithms and Applications (6 papers), Sports Analytics and Performance (5 papers), Adaptive Dynamic Programming Control (5 papers), Educational Games and Gamification (5 papers) and Gambling Behavior and Treatments (5 papers). The work is most often cited by research in Artificial Intelligence (515 citations), Management Information Systems (90 citations), Management Science and Operations Research (101 citations), Marketing (74 citations) and Computational Theory and Mathematics (92 citations). Sam Devlin has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Daniel Kudenko⋆, Peter Cowling, Marek Grześ, Anders Drachen, Jim Duggan, Enda Howley, Joanna Hodge, Patrick Mannion, Florian Block and Ann Nowé. Their work appears in journals such as The Knowledge Engineering Review, Advances in Complex Systems, Autonomous Agents and Multi-Agent Systems, IEEE Transactions on Computational Intelligence and AI in Games and Connection Science.

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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