Sam Devlin

1.8k citations
59 papers · 992 · h-index 17

Impact in

Papers in

Sam Devlin

58 papers receiving 946 citations

Peers

Sam Devlin
Comparison fields: 5 of 80
  • Artificial Intelligence 579
  • Management Information Systems 98
  • Management Science and Operations Research 116
  • Marketing 81
  • Computer Science Applications 36
Replace Nasser Ghasem-Aghaee with:
Nasser Ghasem-Aghaee Iran
Belén Dí­az-Agudo Spain
Eva Onaindía Spain
Mehmet H. Göker Germany
Mei‐Hui Wang Taiwan
Josep Lluís de la Rosa Spain
Jari Veijalainen Finland
Mariusz Nowostawski New Zealand
Nir Oren United Kingdom
Marino Segnan Italy
Sam Devlin relative to Nasser Ghasem-Aghaee Iran Nasser Ghasem-Aghaee's profile →
Citations per field
00.5×3.2×
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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201793
2 201279
3 201979
4 201561
5 201157
6 201549
7 201149
8 201448
9 201844
10 201842
11 201730
12 201527
13 201622
14 201620
15 201618
16 201918
17 201916
18 201615
19 201515
20 201915

About Sam Devlin

Sam Devlin is a scholar working on Artificial Intelligence, Sociology and Political Science, Management Science and Operations Research, Computational Theory and Mathematics and Economics and Econometrics, having authored 59 papers that have together received 992 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (31 papers), Artificial Intelligence in Games (20 papers), Digital Games and Media (10 papers), Sports Analytics and Performance (6 papers), Evolutionary Algorithms and Applications (6 papers), Adaptive Dynamic Programming Control (5 papers), Gambling Behavior and Treatments (5 papers) and Educational Games and Gamification (5 papers). The work is most often cited by research in Artificial Intelligence (579 citations), Management Information Systems (98 citations), Management Science and Operations Research (116 citations), Marketing (81 citations) and Computer Science Applications (36 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, Jim Duggan, Enda Howley, Patrick Mannion, Anders Drachen, Joanna Hodge, Florian Block and Ignazio Cabras. Their work appears in journals such as The Knowledge Engineering Review, Neurocomputing, Autonomous Agents and Multi-Agent Systems, IEEE Transactions on Computational Intelligence and AI in Games and Technological Forecasting and Social Change.

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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