Robert Marinier

517 citations
14 papers · 364 · h-index 8

Impact in

    • Explainable Artificial Intelligence (XAI)
    • Cognitive Science and Mapping
    • Reinforcement Learning in Robotics
    • Psychiatry, Mental Health, Neuroscience
    • AI-based Problem Solving and Planning

Papers in

    • AI-based Problem Solving and Planning 2
    • Reinforcement Learning in Robotics 2
    • Bayesian Modeling and Causal Inference 2
    • Intelligent Tutoring Systems and Adaptive Learning 2
    • Artificial Intelligence in Games 2
    • Evolutionary Algorithms and Applications 1
    • Human-Automation Interaction and Safety 2
    • Emotions and Moral Behavior 2

Robert Marinier

13 papers receiving 331 citations

Peers

Robert Marinier
Comparison fields: 5 of 91
  • Health Informatics 9
  • Artificial Intelligence 207
  • Social Psychology 93
  • General Decision Sciences 8
  • Experimental and Cognitive Psychology 51
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Minae Kwon United States
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Countries citing papers authored by Robert Marinier

Since Specialization
Citations

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

Fields of papers citing papers by Robert Marinier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Robert Marinier, 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 Robert Marinier Line = papers co-authored together Robert Marinier links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2008102
2 201982
3 202147
4
Emotion-Driven Reinforcement Learning
200835
5
Toward a Comprehensive Computational Model of Emotions and Feelings.
200435
6
Computational Modeling of Mood and Feeling from Emotion
200725
7 200918
8 20128
9 20177
10 20202
11
Towards Natural Cognitive System Training Interactions: A Preliminary Framework.
20181
12 20251
13 20161
14 20170

About Robert Marinier

Robert Marinier is a scholar working on Artificial Intelligence, Social Psychology, Automotive Engineering, Computer Science Applications and Safety Research, having authored 14 papers that have together received 364 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (2 papers), Human-Automation Interaction and Safety (2 papers), Reinforcement Learning in Robotics (2 papers), Bayesian Modeling and Causal Inference (2 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers), Emotions and Moral Behavior (2 papers), Artificial Intelligence in Games (2 papers) and Evolutionary Algorithms and Applications (1 paper). The work is most often cited by research in Health Informatics (9 citations), Artificial Intelligence (207 citations), Social Psychology (93 citations), General Decision Sciences (8 citations) and Experimental and Cognitive Psychology (51 citations). Robert Marinier has collaborated with scholars based in United States. Frequent co-authors include John E. Laird, Richard L. Lewis, Devinder Kaur, Ahmad Y. Javaid, Vijaya Kumar Devabhaktuni, Pat Langley, Robert E. Wray, Jacob Crossman, Edwin Olson and Robert C. Hubal. Their work appears in journals such as Cognitive Systems Research, IEEE Access, SAE technical papers on CD-ROM/SAE technical paper series, IEEE Transactions on Games and Journal of Visualization.

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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