Patrick Riley

26 papers receiving 270 citations

Peers

Patrick Riley
Comparison fields: 5 of 55
  • Industrial and Manufacturing Engineering 42
  • Management Science and Operations Research 59
  • Artificial Intelligence 151
  • Computer Networks and Communications 53
  • Transportation 15
Replace Diptesh Ghosh with:
Diptesh Ghosh India
Edson Luiz França Senne Brazil
Peng Pan China
Lule Ahmedi Kosovo
Igor Vasil’ev Russia
Peter Otto Germany
Silvia Casado Spain
Sanjay Kumar Sharma India
Sudhakar Kumar India
Yongfeng Huang China
Patrick Riley relative to Diptesh Ghosh India Diptesh Ghosh's profile →
Citations per field
00.5×5.3×
Diptesh Ghosh · 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 200430
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 199820
8 199817
9 199715
10 200110
11 200210
12 20039
13 20029
14 20228
15 20068
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 292 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), Health, Medicine and Society (3 papers), Scientific Computing and Data Management (3 papers), Aging, Elder Care, and Social Issues (3 papers) and Hermeneutics and Narrative Identity (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (42 citations), Management Science and Operations Research (59 citations), Artificial Intelligence (151 citations), Computer Networks and Communications (53 citations) and Transportation (15 citations). Patrick Riley has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Manuela Veloso, George F. Riley, Peter Stone, Jess W. Everett, Gal A. Kaminka, Paulo Lisböa, Margarida Julià‐Sapé, Iván Olier, Sandra Ortega‐Martorell and Marc Rea. Their work appears in journals such as AI Magazine, Resources Conservation and Recycling, Scientific Reports, Journal of the Air & Waste Management Association and Autonomous Agents and Multi-Agent Systems.

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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