Patrick Riley

26 papers receiving 270 citations

Peers

Patrick Riley
Comparison fields: 5 of 52
  • Industrial and Manufacturing Engineering 43
  • Management Science and Operations Research 59
  • Artificial Intelligence 147
  • Computer Networks and Communications 53
  • Transportation 15
Replace Edson Luiz França Senne with:
Edson Luiz França Senne Brazil
Baghdad Atmani Algeria
Sevcan Yılmaz Türkiye
Igor Vasil’ev Russia
Diptesh Ghosh India
Peng Pan China
Peter Otto Germany
Silvia Casado Spain
Fabio Salassa Italy
Sudhakar Kumar India
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Citations per field
00.5×4.6×
Edson Luiz França Senne · 1×
Citations per year

Countries citing papers authored by Patrick Riley

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Patrick Riley, 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 Patrick Riley Line = papers co-authored together Patrick Riley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200429
2 200028
3 200828
4 200326
5
Defining and Using Ideal Teammate and Opponent Agent Models
200025
6
Planning for distributed execution through use of probabilistic opponent models
200222
7 199821
8 199817
9 199715
10 200210
11 200110
12 20039
13 20029
14 20068
15 20227
16
Advice generation from observed execution: abstract Markov decision process learning
20045
17
Coaching: learning and using environment and agent models for advice
20055
18 20034
19 20193
20
Integration of Advice in an Action-Selection Architecture
20022

About Patrick Riley

Patrick Riley is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, General Health Professions and Information Systems and Management, having authored 26 papers that have together received 291 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (7 papers), Reinforcement Learning in Robotics (5 papers), Multi-Agent Systems and Negotiation (4 papers), Simulation Techniques and Applications (4 papers), Aging, Elder Care, and Social Issues (3 papers), Health, Medicine and Society (3 papers), Hermeneutics and Narrative Identity (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (43 citations), Management Science and Operations Research (59 citations), Artificial Intelligence (147 citations), Computer Networks and Communications (53 citations) and Transportation (15 citations). Patrick Riley has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Manuela Veloso, George F. Riley, Peter Stone, Jess W. Everett, Gal A. Kaminka, Marc Rea, Iván Olier, Sandra Ortega‐Martorell, Li Shen and Paulo Lisböa. Their work appears in journals such as Resources Conservation and Recycling, AI Magazine, Scientific Reports, PLoS ONE and Journal of the Air & Waste Management Association.

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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