G. Tanner Jackson

2.0k total citations
42 papers, 955 citations indexed

About

G. Tanner Jackson is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Computer Science Applications. According to data from OpenAlex, G. Tanner Jackson has authored 42 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 28 papers in Developmental and Educational Psychology and 12 papers in Computer Science Applications. Recurrent topics in G. Tanner Jackson's work include Intelligent Tutoring Systems and Adaptive Learning (30 papers), Innovative Teaching and Learning Methods (21 papers) and Educational Games and Gamification (10 papers). G. Tanner Jackson is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (30 papers), Innovative Teaching and Learning Methods (21 papers) and Educational Games and Gamification (10 papers). G. Tanner Jackson collaborates with scholars based in United States, Switzerland and South Korea. G. Tanner Jackson's co-authors include Arthur C. Graesser, Danielle S. McNamara, Andrew M. Olney, Pamela Jordan, Kurt VanLehn, Carolyn Penstein Rosé, Shulan Lu, Max M. Louwerse, Erica L. Snow and Laura K. Allen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Educational Psychology and Computers in Human Behavior.

In The Last Decade

G. Tanner Jackson

41 papers receiving 857 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Tanner Jackson United States 14 683 584 281 135 92 42 955
Robert G. M. Hausmann United States 8 494 0.7× 694 1.2× 174 0.6× 330 2.4× 182 2.0× 19 986
Amy Witherspoon United States 10 412 0.6× 475 0.8× 222 0.8× 156 1.2× 186 2.0× 16 785
Michelle Taub United States 16 265 0.4× 590 1.0× 389 1.4× 301 2.2× 143 1.6× 44 934
Stephanie Siler United States 8 617 0.9× 777 1.3× 205 0.7× 383 2.8× 203 2.2× 14 1.1k
Jeremiah Sullins United States 9 419 0.6× 404 0.7× 214 0.8× 150 1.1× 189 2.1× 25 758
Blair Lehman United States 11 327 0.5× 388 0.7× 234 0.8× 226 1.7× 207 2.3× 25 874
Ivon Arroyo United States 16 623 0.9× 515 0.9× 549 2.0× 194 1.4× 148 1.6× 53 1.1k
Shulan Lu United States 7 346 0.5× 264 0.5× 125 0.4× 104 0.8× 122 1.3× 22 682
Scott McQuiggan United States 12 288 0.4× 197 0.3× 124 0.4× 97 0.7× 97 1.1× 19 584
Barry Kort United States 5 277 0.4× 206 0.4× 153 0.5× 124 0.9× 129 1.4× 6 572

Countries citing papers authored by G. Tanner Jackson

Since Specialization
Citations

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

Fields of papers citing papers by G. Tanner Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Tanner Jackson. 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 G. Tanner Jackson. The network helps show where G. Tanner Jackson may publish in the future.

Co-authorship network of co-authors of G. Tanner Jackson

This figure shows the co-authorship network connecting the top 25 collaborators of G. Tanner Jackson. A scholar is included among the top collaborators of G. Tanner Jackson 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 G. Tanner Jackson. G. Tanner Jackson 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.
Ou, Yunbo, Xiaoyin Li, Jan Kopaczek, et al.. (2025). The Hard Ferromagnetism in FePS3 Induced by Non‐Magnetic Molecular Intercalation (Adv. Phys. Res. 2/2025). Advanced Physics Research. 4(2). 1 indexed citations
2.
Ou, Yunbo, Xiaoyin Li, Jan Kopaczek, et al.. (2024). The Hard Ferromagnetism in FePS3 Induced by Non‐Magnetic Molecular Intercalation. SHILAP Revista de lepidopterología. 4(2).
3.
Forsyth, Carol, et al.. (2018). Evaluating English language learners’ conversations: Man vs. Machine. Computer Assisted Language Learning. 32(4). 398–417. 18 indexed citations
4.
Jackson, G. Tanner & Danielle S. McNamara. (2017). The Motivation and Mastery Cycle Framework: Predicting Long-Term Benefits of Educational Games.. Grantee Submission. 2 indexed citations
5.
Jacovina, Matthew E., G. Tanner Jackson, Erica L. Snow, & Danielle S. McNamara. (2016). Timing Game-Based Practice in a Reading Comprehension Strategy Tutor.. Grantee Submission. 1 indexed citations
6.
Jackson, G. Tanner, et al.. (2015). Natural Language Processing and Game-Based Practice in iSTART.. The Journal of Interactive Learning Research. 26(2). 189–208. 6 indexed citations
7.
Snow, Erica L., Laura K. Allen, G. Tanner Jackson, & Danielle S. McNamara. (2015). Spendency: Students’ Propensity to Use System Currency. International Journal of Artificial Intelligence in Education. 25(3). 407–427. 19 indexed citations
8.
Snow, Erica L., G. Tanner Jackson, & Danielle S. McNamara. (2014). What do they do?: Tracing students' patterns of interactions within a game-Based intelligent tutoring system. International Conference of Learning Sciences. 3. 1481–1482. 1 indexed citations
9.
Jackson, G. Tanner, et al.. (2013). Game Performance as a Measure of Comprehension and Skill Transfer. The Florida AI Research Society. 497–502. 1 indexed citations
10.
Snow, Erica L., et al.. (2013). The Impact of Performance Orientation on Students' Interactions and Achievements in an ITS.. The Florida AI Research Society. 521–526. 2 indexed citations
11.
Jackson, G. Tanner, et al.. (2013). Does Size Matter? Investigating User Input at a Larger Bandwidth.. The Florida AI Research Society. 546–549. 4 indexed citations
12.
McCarthy, Philip M., et al.. (2011). Automatic Natural Language Processing and the Detection of Reading Skills and Reading Comprehension. The Florida AI Research Society. 234–239. 2 indexed citations
13.
Hodhod, Rania, et al.. (2011). Special Track on Intelligent Tutoring Systems. The Florida AI Research Society. 1 indexed citations
14.
Jackson, G. Tanner & Danielle S. McNamara. (2011). Motivational impacts of a game-based intelligent tutoring system. The Florida AI Research Society. 519–524. 13 indexed citations
15.
Jackson, G. Tanner, et al.. (2009). Assessing Cognitively Complex Strategy Use in an Untrained Domain. eScholarship (California Digital Library). 31(31). 1 indexed citations
16.
VanLehn, Kurt, et al.. (2007). Natural Language Tutoring: A comparison of human tutors, computer tutors, and text. Cognitive Science. 31(1). 10 indexed citations
17.
Jackson, G. Tanner & Arthur C. Graesser. (2006). Aplicaciones del diálogo humano de tutoría al autotutor: un sistema inteligente de tutoría. Revista signos. 39(60). 31–48. 13 indexed citations
18.
Graesser, Arthur C., et al.. (2006). AutoTutor 3-D Simulations: Analyzing Users' Actions and Learning Trends. eScholarship (California Digital Library). 28(28). 2 indexed citations
19.
Graesser, Art, G. Tanner Jackson, Pamela Jordan, et al.. (2005). When is Reading Just as Effective as One-on-One Interactive Human Tutoring?. eScholarship (California Digital Library). 27(27). 13 indexed citations
20.
Graesser, Arthur C., Xiangen Hu, Natalie K. Person, G. Tanner Jackson, & Jozsef A. Toth. (2004). Modules and Information Retrieval Facilities of the Human Use Regulatory Affairs Advisor (HURAA). International journal on e-learning. 3(4). 29–39. 9 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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