Robert E. Wray

746 total citations
42 papers, 323 citations indexed

About

Robert E. Wray is a scholar working on Artificial Intelligence, Social Psychology and Information Systems. According to data from OpenAlex, Robert E. Wray has authored 42 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 4 papers in Social Psychology and 4 papers in Information Systems. Recurrent topics in Robert E. Wray's work include AI-based Problem Solving and Planning (24 papers), Semantic Web and Ontologies (11 papers) and Logic, Reasoning, and Knowledge (9 papers). Robert E. Wray is often cited by papers focused on AI-based Problem Solving and Planning (24 papers), Semantic Web and Ontologies (11 papers) and Logic, Reasoning, and Knowledge (9 papers). Robert E. Wray collaborates with scholars based in United States, United Kingdom and South Sudan. Robert E. Wray's co-authors include John E. Laird, Leo Obrst, Randolph M. Jones, Christian Lebière, James R. Kirk, Andrea L. Thomaz, Robert Marinier, John R. Anderson, Dario D. Salvucci and Kevin A. Gluck and has published in prestigious journals such as Bioinformatics, Journal of the American College of Cardiology and Robotics and Autonomous Systems.

In The Last Decade

Robert E. Wray

40 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert E. Wray United States	10	224	46	46	40	27	42	323
Amro Najjar Luxembourg	9	170 0.8×	35 0.8×	49 1.1×	32 0.8×	36 1.3×	44	358
Marcus J. Huber United States	10	352 1.6×	47 1.0×	42 0.9×	78 1.9×	33 1.2×	29	442
Nikhil Ichalkaranje Australia	8	102 0.5×	19 0.4×	30 0.7×	28 0.7×	7 0.3×	20	259
Rania Hodhod United States	9	119 0.5×	19 0.4×	76 1.7×	33 0.8×	7 0.3×	34	290
Nate Blaylock United States	12	298 1.3×	16 0.3×	25 0.5×	47 1.2×	24 0.9×	28	354
Timothy Hanratty United States	9	147 0.7×	62 1.3×	35 0.8×	26 0.7×	57 2.1×	38	301
Ilaria Tiddi Netherlands	9	198 0.9×	25 0.5×	67 1.5×	32 0.8×	21 0.8×	30	340
Arlindo Silva Portugal	7	173 0.8×	20 0.4×	91 2.0×	34 0.8×	24 0.9×	21	352
Azhana Ahmad Malaysia	9	99 0.4×	16 0.3×	29 0.6×	41 1.0×	8 0.3×	43	216
Jia‐Sheng Heh Taiwan	9	111 0.5×	28 0.6×	111 2.4×	28 0.7×	12 0.4×	48	275

Countries citing papers authored by Robert E. Wray

Since Specialization

Citations

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

Fields of papers citing papers by Robert E. Wray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert E. Wray

This figure shows the co-authorship network connecting the top 25 collaborators of Robert E. Wray. A scholar is included among the top collaborators of Robert E. Wray 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 E. Wray. Robert E. Wray 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:

20 of 20 papers shown

Knottenbelt, William J., et al.. (2025). CoxKAN: Kolmogorov-Arnold networks for interpretable, high-performance survival analysis. Bioinformatics. 41(8). 4 indexed citations

Kirk, James R., et al.. (2024). Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 18390–18398. 6 indexed citations

Laird, John E., et al.. (2024). Proposal for Cognitive Architecture and Transformer Integration: Online Learning from Agent Experience. Proceedings of the AAAI Symposium Series. 2(1). 302–306. 1 indexed citations

Wray, Robert E., et al.. (2022). Improving Common Ground in Human-Machine Teaming: Dimensions, Gaps, and Priorities. AHFE international. 28. 2 indexed citations

Woods, Angela, et al.. (2015). A Constraint-Based Expert Modeling Approach for Ill-Defined Tutoring Domains.. The Florida AI Research Society. 469–474. 3 indexed citations

Wray, Robert E., et al.. (2015). Creating a Scenario Design Workflow for Dynamically Tailored Training in Socio-cultural Perception. Procedia Manufacturing. 3. 1486–1493. 2 indexed citations

Schatz, Sae, et al.. (2013). Scalable Models for Patterns of Life. Proceedings of the AAAI Conference on Artificial Intelligence. 27(2). 1582–1584. 1 indexed citations

Jones, Randolph M. & Robert E. Wray. (2011). Evaluating Integrated, Knowledge-Rich Cognitive Systems. National Conference on Artificial Intelligence. 1 indexed citations

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

10.

Wray, Robert E., et al.. (2007). Beyond the Ad-Hoc and the Impractically Formal: Lessons from the Implementation of Formalisms of Intention.. National Conference on Artificial Intelligence. 28–33. 1 indexed citations

11.

Lebière, Christian & Robert E. Wray. (2006). Between a rock and a hard place: cognitive science principles meet AI-hard problems : papers from the AAAI Spring Symposium. 10 indexed citations

12.

Jones, Randolph M. & Robert E. Wray. (2004). Comparative Analysis of Frameworks for Knowledge-Intensive Intelligent Agents.. National Conference on Artificial Intelligence. 47–53.

13.

Wray, Robert E., et al.. (2004). Synthetic adversaries for urban combat training. Innovative Applications of Artificial Intelligence. 26(3). 923–930. 30 indexed citations

14.

Obrst, Leo, et al.. (2003). Ontologies for corporate web applications. AI Magazine. 24(3). 49–62. 22 indexed citations

15.

Jones, Randolph M. & Robert E. Wray. (2003). Design principles for heavy intelligent agents. 1022–1023. 2 indexed citations

16.

Wray, Robert E., et al.. (2002). General, Maintainable, Extensible Communications for Computer Generated Forces. 4 indexed citations

17.

Wray, Robert E. & John E. Laird. (1998). Maintaining consistency in hierarchical reasoning. National Conference on Artificial Intelligence. 928–935. 3 indexed citations

18.

Wray, Robert E., et al.. (1998). Ensuring reasoning consistency in hierarchical architectures. Deep Blue (University of Michigan). 1206. 1 indexed citations

19.

Wray, Robert E., John E. Laird, & Randolph M. Jones. (1996). Compilation of non-contemporaneous constraints. National Conference on Artificial Intelligence. 771–778. 5 indexed citations

20.

Laird, John E., et al.. (1996). Dynamic Knowledge Integration during Plan Execution. 3 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.

Explore authors with similar magnitude of impact