Michael J. Schoelles

1.1k total citations
46 papers, 637 citations indexed

About

Michael J. Schoelles is a scholar working on Social Psychology, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Michael J. Schoelles has authored 46 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Social Psychology, 19 papers in Artificial Intelligence and 17 papers in Cognitive Neuroscience. Recurrent topics in Michael J. Schoelles's work include Human-Automation Interaction and Safety (19 papers), Neural and Behavioral Psychology Studies (15 papers) and Cognitive Science and Mapping (9 papers). Michael J. Schoelles is often cited by papers focused on Human-Automation Interaction and Safety (19 papers), Neural and Behavioral Psychology Studies (15 papers) and Cognitive Science and Mapping (9 papers). Michael J. Schoelles collaborates with scholars based in United States, Norway and Netherlands. Michael J. Schoelles's co-authors include Wayne D. Gray, Chris R. Sims, Wai-Tat Fu, Christian D. Schunn, Azriel Rosenfeld, Fayin Li, Christopher W. Myers, Harry Wechsler, Frank E. Ritter and Markus Guhe and has published in prestigious journals such as Psychological Review, Proceedings of the IEEE and Behavioral and Brain Sciences.

In The Last Decade

Michael J. Schoelles

44 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Schoelles United States 12 213 209 171 114 111 46 637
Ronnie Taib Australia 15 250 1.2× 184 0.9× 227 1.3× 200 1.8× 91 0.8× 38 883
Frank J. Lee United States 12 127 0.6× 165 0.8× 154 0.9× 107 0.9× 26 0.2× 26 581
Wai-Tat Fu United States 6 87 0.4× 207 1.0× 97 0.6× 76 0.7× 34 0.3× 10 415
Jonathan Levy United States 6 254 1.2× 221 1.1× 46 0.3× 66 0.6× 57 0.5× 8 678
Ilkka Kosunen Finland 13 138 0.6× 260 1.2× 118 0.7× 126 1.1× 66 0.6× 34 646
Farilee E. Mintz United States 6 259 1.2× 140 0.7× 107 0.6× 130 1.1× 66 0.6× 10 617
Andrea Schankin Germany 14 74 0.3× 373 1.8× 62 0.4× 179 1.6× 49 0.4× 34 642
Mark St. John United States 12 314 1.5× 274 1.3× 91 0.5× 122 1.1× 133 1.2× 39 879
Celso M. de Melo United States 16 282 1.3× 174 0.8× 163 1.0× 122 1.1× 185 1.7× 45 830
Leslie M. Blaha United States 10 65 0.3× 145 0.7× 95 0.6× 78 0.7× 160 1.4× 34 445

Countries citing papers authored by Michael J. Schoelles

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Schoelles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Schoelles. 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 Michael J. Schoelles. The network helps show where Michael J. Schoelles may publish in the future.

Co-authorship network of co-authors of Michael J. Schoelles

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Schoelles. A scholar is included among the top collaborators of Michael J. Schoelles 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 Michael J. Schoelles. Michael J. Schoelles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Schoelles, Michael J., et al.. (2013). Simplifying the interaction between cognitive models and task environments with the JSON Network Interface. Behavior Research Methods. 46(4). 1007–1012. 11 indexed citations
2.
Ralph, Jason F., Wayne D. Gray, & Michael J. Schoelles. (2012). Cognitive Workload and the Motor Component of Visual Attention. Cognitive Science. 34(34). 2 indexed citations
3.
Schoelles, Michael J. & Wayne D. Gray. (2011). Cognitive Modeling as a Tool for Improving Runway Safety. Journal of Bioresource Management. 541. 3 indexed citations
4.
Sims, Chris R., et al.. (2010). Visual Similarity is ObViS. eScholarship (California Digital Library). 32(32).
5.
Gray, Wayne D., et al.. (2009). Goal-Proximity Decision Making: Who needs reward anyway?. eScholarship (California Digital Library). 31(31). 1 indexed citations
6.
Kase, Sue E., Frank E. Ritter, & Michael J. Schoelles. (2009). Serial Subtraction Errors Revealed. eScholarship (California Digital Library). 31(31). 3 indexed citations
7.
Kase, Sue E., Frank E. Ritter, & Michael J. Schoelles. (2009). Caffeine's Effect on Appraisal and Mental Arithmetic Performance: A Cognitive Modeling Approach Tells Us More. 3 indexed citations
8.
Schoelles, Michael J., Hansjörg Neth, Christopher W. Myers, & Wayne D. Gray. (2006). Steps Towards Integrated Models of Cognitive Systems: A Levels-of-Analysis Approach to Comparing Human Performance to Model Predictions in a Complex Task Environment. KOPS (University of Konstanz). 28(28). 756–761. 6 indexed citations
9.
Gray, Wayne D., Michael J. Schoelles, & Chris R. Sims. (2005). Cognitive Metrics Profiling. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 49(12). 1144–1148. 7 indexed citations
10.
Myers, Christopher W. & Michael J. Schoelles. (2005). ProtoMatch: A tool for analyzing high-density, sequential eye gaze and cursor protocols. Behavior Research Methods. 37(2). 256–270. 14 indexed citations
11.
Guhe, Markus, et al.. (2004). Towards an Affective Cognitive Architecture. eScholarship (California Digital Library). 26(26). 6 indexed citations
12.
Myers, Christopher W., Wayne D. Gray, & Michael J. Schoelles. (2004). Workload is Bad, Except when it's Not: The Case of Avoiding Attractive Distractors. Proceedings of the Annual Meeting of the Cognitive Science Society. 26(26). 68–68.
13.
Gray, Wayne D., Michael J. Schoelles, & Chris R. Sims. (2004). Learning to Choose the Most Effective Strategy: Explorations in Expected Value.. 112–117. 3 indexed citations
14.
Gray, Wayne D., Michael J. Schoelles, & Chris R. Sims. (2004). Adapting to the task environment: Explorations in expected value. Cognitive Systems Research. 6(1). 27–40. 10 indexed citations
15.
Gray, Wayne D., et al.. (2004). Simborgs and Simulated Task Environments for Engineering Next Generation Workstations for Intelligence Analysts. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 48(3). 362–366. 3 indexed citations
16.
Myers, Christopher W., Wayne D. Gray, & Michael J. Schoelles. (2003). This Way or That: Determining Where to Look First. eScholarship (California Digital Library). 25(25). 1 indexed citations
17.
Gray, Wayne D. & Michael J. Schoelles. (2003). THE NATURE AND TIMING OF INTERRUPTIONS IN A COMPLEX, COGNITIVE TASK: EMPIRICAL DATA AND COMPUTATIONAL COGNITIVE MODELS. eScholarship (California Digital Library). 25(25). 7 indexed citations
18.
Adelman, Leonard, et al.. (2003). Using Brunswikian theory and a longitudinal design to study how hierarchical teams adapt to increasing levels of time pressure. Acta Psychologica. 112(2). 181–206. 17 indexed citations
19.
Schoelles, Michael J. & Wayne D. Gray. (2001). Decomposing Interactive Behavior. eScholarship (California Digital Library). 23(23). 4 indexed citations
20.
Schoelles, Michael J. & Henry Hamburger. (1997). The NLP role in animated conversation for CALL. 127–134. 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.

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