Stephen Hutt

4.9k total citations · 1 hit paper
78 papers, 3.2k citations indexed

About

Stephen Hutt is a scholar working on Cognitive Neuroscience, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Stephen Hutt has authored 78 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 14 papers in Computer Science Applications and 14 papers in Developmental and Educational Psychology. Recurrent topics in Stephen Hutt's work include EEG and Brain-Computer Interfaces (21 papers), Online Learning and Analytics (13 papers) and Mind wandering and attention (11 papers). Stephen Hutt is often cited by papers focused on EEG and Brain-Computer Interfaces (21 papers), Online Learning and Analytics (13 papers) and Mind wandering and attention (11 papers). Stephen Hutt collaborates with scholars based in United States, United Kingdom and Netherlands. Stephen Hutt's co-authors include Corinne Hutt, Christopher Ounsted, Sidney K. D’Mello, Hugh Fairweather, Caitlin Mills, Douglas S. Lee, Kristina Krasich, James R. Brockmole, Horst von Bernuth and H. G. Lenard and has published in prestigious journals such as Nature, The Lancet and Brain.

In The Last Decade

Stephen Hutt

76 papers receiving 2.9k citations

Hit Papers

Growing points in ethology 1977 2026 1993 2009 1977 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Hutt United States 24 1.0k 1.0k 729 513 452 78 3.2k
Gene P. Sackett United States 34 639 0.6× 1.6k 1.6× 398 0.5× 394 0.8× 500 1.1× 132 3.2k
Mark S. Blumberg United States 45 2.6k 2.5× 1.3k 1.3× 376 0.5× 595 1.2× 252 0.6× 183 5.8k
Konrad Lorenz Germany 25 1.1k 1.0× 1.5k 1.5× 539 0.7× 841 1.6× 543 1.2× 99 4.5k
Michael Domjan United States 36 1.7k 1.6× 1.5k 1.5× 710 1.0× 518 1.0× 1.2k 2.5× 145 5.1k
Leonard A. Rosenblum United States 37 661 0.6× 2.5k 2.5× 827 1.1× 551 1.1× 496 1.1× 106 5.2k
William A. Mason United States 46 1.2k 1.2× 3.5k 3.5× 579 0.8× 955 1.9× 961 2.1× 160 5.5k
Nobuo Masataka Japan 34 958 0.9× 1.0k 1.0× 795 1.1× 563 1.1× 517 1.1× 121 3.0k
Toshikazu Hasegawa Japan 42 2.1k 2.1× 2.2k 2.2× 818 1.1× 1.3k 2.6× 938 2.1× 154 5.6k
Gilbert Gottlieb United States 42 912 0.9× 1.5k 1.5× 1.6k 2.2× 1.0k 2.0× 1.1k 2.4× 120 6.0k
William A. Roberts Canada 47 3.2k 3.1× 1.1k 1.1× 2.1k 2.9× 554 1.1× 453 1.0× 199 6.3k

Countries citing papers authored by Stephen Hutt

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Hutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Hutt

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Hutt. A scholar is included among the top collaborators of Stephen Hutt 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 Stephen Hutt. Stephen Hutt 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.
Baker, Ryan S. & Stephen Hutt. (2025). MORF: A Post-Mortem. 797–802. 1 indexed citations
3.
Ocumpaugh, Jaclyn, Rod D. Roscoe, Ryan S. Baker, Stephen Hutt, & Stephen J. Aguilar. (2024). Toward Asset-based Instruction and Assessment in Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education. 34(4). 1559–1598. 10 indexed citations
4.
Baker, Ryan S., et al.. (2023). Automated Multi-Dimensional Analysis of Peer Feedback in Middle School Mathematics. Computer-supported collaborative learning/˜The œComputer-Supported Collaborative Learning Conference. 1 indexed citations
6.
Hutt, Stephen, et al.. (2022). Using Machine Learning to Detect SMART Model Cognitive Operations in Mathematical Problem-Solving Process. Zenodo (CERN European Organization for Nuclear Research). 7 indexed citations
7.
Hutt, Stephen, Jaclyn Ocumpaugh, Nigel Bosch, et al.. (2021). Who’s Stopping You? – Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations. eScholarship (California Digital Library). 43(43). 2 indexed citations
8.
Gardner, Margo, et al.. (2020). How Does High School Extracurricular Participation Predict Bachelor’s Degree Attainment? It is Complicated. Journal of Research on Adolescence. 30(3). 753–768. 1 indexed citations
9.
Hutt, Stephen, et al.. (2019). Generalizability of Sensor-Free Affect Detection Models in a Longitudinal Dataset of Tens of Thousands of Students.. Educational Data Mining. 2 indexed citations
10.
Hutt, Stephen, Joseph F. Grafsgaard, & Sidney K. D’Mello. (2019). Time to Scale: Generalizable Affect Detection for Tens of Thousands of Students across an Entire School Year.. Grantee Submission. 1 indexed citations
11.
Hutt, Stephen, Margo Gardner, Angela Duckworth, & Sidney K. D’Mello. (2019). Evaluating Fairness and Generalizability in Models Predicting On-Time Graduation from College Applications.. Educational Data Mining. 27 indexed citations
12.
Hutt, Stephen, Kristina Krasich, Caitlin Mills, et al.. (2019). Automated gaze-based mind wandering detection during computerized learning in classrooms. User Modeling and User-Adapted Interaction. 29(4). 821–867. 72 indexed citations
13.
Galla, Brian M., Elizabeth P. Shulman, Margo Gardner, et al.. (2019). Why High School Grades Are Better Predictors of On-Time College Graduation Than Are Admissions Test Scores: The Roles of Self-Regulation and Cognitive Ability. American Educational Research Journal. 56(6). 2077–2115. 84 indexed citations
14.
Hutt, Stephen, et al.. (2017). Gaze-based Detection of Mind Wandering during Lecture Viewing.. Educational Data Mining. 28 indexed citations
15.
Trueman, Mark, et al.. (1999). Parental perceptions of pre‐adolescent children who have experienced a febrile convulsion: Effects of social class and gender. British Journal of Clinical Psychology. 38(1). 59–72. 6 indexed citations
16.
Hutt, Stephen. (1989). Play, exploration, and learning : a natural history of the pre-school. Routledge eBooks. 59 indexed citations
17.
Hutt, Stephen, et al.. (1976). Auditory Thresholds During Evoked Spike-Wave Activity in Epileptic Patients. Cortex. 12(3). 249–257. 8 indexed citations
18.
Hutt, Stephen, et al.. (1968). Some determinants of an amnesic phenomenon in a light-sensitive epileptic child. Journal of the Neurological Sciences. 6(1). 155–164. 6 indexed citations
19.
Ounsted, Christopher, et al.. (1966). Electroencephalographic and clinical changes in an epileptic child during repeated photic stimulation. Electroencephalography and Clinical Neurophysiology. 21(4). 388–391. 14 indexed citations
20.
Hutt, Stephen, et al.. (1964). A Note on the MPI: A Response Tendency in Neurotics Related to Intelligence. British Journal of Social and Clinical Psychology. 3(2). 137–138. 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

Rankless by CCL
2026