Patrick Chipman

1.3k total citations
11 papers, 723 citations indexed

About

Patrick Chipman is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Patrick Chipman has authored 11 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Developmental and Educational Psychology and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Patrick Chipman's work include Intelligent Tutoring Systems and Adaptive Learning (7 papers), Innovative Teaching and Learning Methods (5 papers) and Speech and dialogue systems (3 papers). Patrick Chipman is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (7 papers), Innovative Teaching and Learning Methods (5 papers) and Speech and dialogue systems (3 papers). Patrick Chipman collaborates with scholars based in United States and Japan. Patrick Chipman's co-authors include Arthur C. Graesser, Andrew M. Olney, Brian C. Haynes, Art Graesser, Bethany McDaniel, Brandon G. King, Sidney K. D’Mello, Barry Gholson, Amy Witherspoon and Sidney D’Mello and has published in prestigious journals such as IEEE Transactions on Education, eScholarship (California Digital Library) and The Florida AI Research Society.

In The Last Decade

Patrick Chipman

11 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Chipman United States 7 511 268 206 146 101 11 723
Bethany McDaniel United States 7 328 0.6× 279 1.0× 175 0.8× 149 1.0× 98 1.0× 9 548
Barry Kort United States 5 277 0.5× 206 0.8× 153 0.7× 129 0.9× 94 0.9× 6 572
Shulan Lu United States 7 346 0.7× 264 1.0× 125 0.6× 122 0.8× 64 0.6× 22 682
Joseph F. Grafsgaard United States 14 237 0.5× 148 0.6× 177 0.9× 143 1.0× 93 0.9× 23 516
Scott McQuiggan United States 12 288 0.6× 197 0.7× 124 0.6× 97 0.7× 60 0.6× 19 584
Derek Harter United States 8 470 0.9× 209 0.8× 124 0.6× 52 0.4× 81 0.8× 29 652
Kate Forbes-Riley United States 14 556 1.1× 150 0.6× 101 0.5× 202 1.4× 38 0.4× 24 676
Ivon Arroyo United States 16 623 1.2× 515 1.9× 549 2.7× 148 1.0× 79 0.8× 53 1.1k
Toby Dragon United States 9 220 0.4× 234 0.9× 237 1.2× 65 0.4× 51 0.5× 18 458
Weinan Zhao China 7 137 0.3× 251 0.9× 185 0.9× 122 0.8× 58 0.6× 15 529

Countries citing papers authored by Patrick Chipman

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Chipman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Chipman

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

All Works

11 of 11 papers shown
1.
McDaniel, Bethany, et al.. (2007). Facial Features for Affective State Detection in Learning Environments. eScholarship (California Digital Library). 29(29). 82 indexed citations
2.
Chipman, Patrick, et al.. (2007). Posture as a Predictor of Learner's Affective Engagement. eScholarship (California Digital Library). 29(29). 44 indexed citations
4.
Graesser, Arthur C., Patrick Chipman, & Brandon G. King. (2007). Computer-Mediated Technologies. 21 indexed citations
5.
Graesser, Arthur C., Patrick Chipman, Brandon G. King, Bethany McDaniel, & Sidney K. D’Mello. (2007). Emotions and Learning with AutoTutor. 569–571. 50 indexed citations
6.
Chipman, Patrick, Sidney K. D’Mello, Barry Gholson, et al.. (2006). Detection of Emotions during Learning with AutoTutor. eScholarship (California Digital Library). 28(28). 81 indexed citations
7.
Graesser, Art, et al.. (2005). The effectiveness of computer simulations in a computer based learning environment. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2005(1). 1362–1367. 2 indexed citations
8.
Graesser, Arthur C., Patrick Chipman, Brian C. Haynes, & Andrew M. Olney. (2005). AutoTutor: An Intelligent Tutoring System With Mixed-Initiative Dialogue. IEEE Transactions on Education. 48(4). 612–618. 392 indexed citations
9.
Chipman, Patrick, Andrew M. Olney, & Arthur C. Graesser. (2005). THE AUTOTUTOR 3 ARCHITECTURE - A software architecture for an expandable, high-availability ITS. 466–473. 3 indexed citations
10.
Olney, Andrew M., et al.. (2003). Why/AutoTutor: A Test of Learning Gains from a Physics Tutor with Natural Language Dialog. eScholarship (California Digital Library). 25(25). 474–479. 41 indexed citations
11.
Olde, Brent A., James Hoeffner, Patrick Chipman, & Arthur C. Graesser. (1999). A Connectionist Model for Part of Speech Tagging. The Florida AI Research Society. 172–176. 5 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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