Robert Marinier

506 total citations
12 papers, 283 citations indexed

About

Robert Marinier is a scholar working on Artificial Intelligence, Social Psychology and Surgery. According to data from OpenAlex, Robert Marinier has authored 12 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Social Psychology and 1 paper in Surgery. Recurrent topics in Robert Marinier's work include Artificial Intelligence in Games (2 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers) and Emotions and Moral Behavior (2 papers). Robert Marinier is often cited by papers focused on Artificial Intelligence in Games (2 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers) and Emotions and Moral Behavior (2 papers). Robert Marinier collaborates with scholars based in United States. Robert Marinier's co-authors include John E. Laird, Richard L. Lewis, Devinder Kaur, Ahmad Y. Javaid, V. Devabhaktuni, Vijay Devabhaktuni, Pat Langley, Robert E. Wray, Edwin Olson and Jacob Crossman and has published in prestigious journals such as IEEE Access, Cognitive Systems Research and Journal of Visualization.

In The Last Decade

Robert Marinier

12 papers receiving 257 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Robert Marinier United States	8	165	67	44	42	38	12	283
Lourens van der Meij Netherlands	9	228 1.4×	64 1.0×	28 0.6×	43 1.0×	25 0.7×	15	368
Ken Forbus United States	12	234 1.4×	17 0.3×	37 0.8×	42 1.0×	50 1.3×	28	378
Joscha Bach Germany	6	133 0.8×	33 0.5×	50 1.1×	11 0.3×	19 0.5×	13	227
John Dowding United States	17	647 3.9×	39 0.6×	24 0.5×	33 0.8×	52 1.4×	45	751
Lei Xue China	10	92 0.6×	28 0.4×	15 0.3×	29 0.7×	38 1.0×	35	274
Job Zwiers Netherlands	9	122 0.7×	54 0.8×	18 0.4×	59 1.4×	24 0.6×	28	260
Kleomenis Katevas United Kingdom	9	230 1.4×	57 0.9×	24 0.5×	74 1.8×	33 0.9×	19	435
Jacky Casas Switzerland	7	183 1.1×	37 0.6×	11 0.3×	34 0.8×	16 0.4×	11	323
Dipankar Das Bangladesh	9	338 2.0×	104 1.6×	24 0.5×	93 2.2×	50 1.3×	51	553
Carlos M. Fernandes Portugal	10	96 0.6×	17 0.3×	69 1.6×	23 0.5×	50 1.3×	22	268

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-authorship network of co-authors of Robert Marinier

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Marinier. A scholar is included among the top collaborators of Robert Marinier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert Marinier. Robert Marinier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Woods, Angela, et al.. (2025). Enhancing Human-Artificial Intelligence Alignment: A Calibration-Based Approach. 1204–1208. 1 indexed citations

2.

Javaid, Ahmad Y., et al.. (2021). Recent advances and challenges in uncertainty visualization: a survey. Journal of Visualization. 24(5). 861–890. 35 indexed citations

3.

Javaid, Ahmad Y., et al.. (2020). A Novel Approach to Air Corridor Estimation and Visualization for Autonomous Multi-UAV Flights. 2003. 370–377. 2 indexed citations

4.

Kaur, Devinder, et al.. (2019). Evolving Rule-Based Explainable Artificial Intelligence for Unmanned Aerial Vehicles. IEEE Access. 7. 17001–17016. 63 indexed citations

5.

Harpstead, Erik, et al.. (2018). Towards Natural Cognitive System Training Interactions: A Preliminary Framework.. National Conference on Artificial Intelligence. 1 indexed citations

6.

Hubal, Robert, et al.. (2017). Predicting Students’ Decisions in a Training Simulation: A Novel Application of TrueSkill. IEEE Transactions on Games. 10(1). 97–100. 6 indexed citations

7.

Crossman, Jacob, Robert Marinier, & Edwin Olson. (2012). A hands-off, multi-robot display for communicating situation awareness to operators. 109–116. 8 indexed citations

8.

Laird, John E., Robert E. Wray, Robert Marinier, & Pat Langley. (2009). Claims and Challenges in Evaluating Human-Level Intelligent Systems. 15 indexed citations

9.

Marinier, Robert & John E. Laird. (2008). Emotion-Driven Reinforcement Learning. eScholarship (California Digital Library). 30(30). 29 indexed citations

10.

Marinier, Robert, John E. Laird, & Richard L. Lewis. (2008). A computational unification of cognitive behavior and emotion. Cognitive Systems Research. 10(1). 48–69. 77 indexed citations

11.

Marinier, Robert & John E. Laird. (2007). Computational Modeling of Mood and Feeling from Emotion. eScholarship (California Digital Library). 29(29). 19 indexed citations

12.

Marinier, Robert & John E. Laird. (2004). Toward a Comprehensive Computational Model of Emotions and Feelings.. 172–177. 27 indexed citations

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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