Blair Lehman

2.0k total citations · 1 hit paper
25 papers, 874 citations indexed

About

Blair Lehman is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Blair Lehman has authored 25 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Developmental and Educational Psychology and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Blair Lehman's work include Intelligent Tutoring Systems and Adaptive Learning (14 papers), Innovative Teaching and Learning Methods (11 papers) and Visual and Cognitive Learning Processes (4 papers). Blair Lehman is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (14 papers), Innovative Teaching and Learning Methods (11 papers) and Visual and Cognitive Learning Processes (4 papers). Blair Lehman collaborates with scholars based in United States, Canada and Germany. Blair Lehman's co-authors include Sidney K. D’Mello, Art Graesser, Reinhard Pekrun, Natalie K. Person, Diego Zapata‐Rivera, Gang Feng, Chee Wee Leong, Lei Chen, Andrew M. Olney and Mohammed Ehsan Hoque and has published in prestigious journals such as Learning and Instruction, Teachers College Record The Voice of Scholarship in Education and The Internet and Higher Education.

In The Last Decade

Blair Lehman

23 papers receiving 816 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Confusion can be beneficial for learning

2012 469 citations Sidney K. D’Mello, Blair Lehman et al. Learning and Instruction profile →

Peers

Blair Lehman

DEP

AI

CSA

EDUCA

ECP

Jeremiah Sullins United States

Agneta Gulz Sweden

Jaclyn Ocumpaugh United States

François Bouchet France

Michelle Taub United States

Amy Witherspoon United States

Ivon Arroyo United States

Erin Walker United States

Shulan Lu United States

Magnus Haake Sweden

Jeremiah Sullins United States

Blair Lehman

404 ×1.0

DEP

419 ×1.3

AI

214 ×0.9

CSA

150 ×0.7

EDUCA

189 ×0.9

ECP

Citations per year, relative to Blair Lehman Blair Lehman (= 1×) peers Jeremiah Sullins

Countries citing papers authored by Blair Lehman

Since Specialization

Citations

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

Fields of papers citing papers by Blair Lehman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Blair Lehman

This figure shows the co-authorship network connecting the top 25 collaborators of Blair Lehman. A scholar is included among the top collaborators of Blair Lehman 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 Blair Lehman. Blair Lehman 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

1.

Sparks, Jesse R., et al.. (2025). Measuring persistence and academic resilience of K−12 students: systematic review and operational definitions. Frontiers in Education. 10.

2.

Olds, Daniel, et al.. (2024). Large language models for whole-learner support: opportunities and challenges. Frontiers in Artificial Intelligence. 7. 1460364–1460364. 10 indexed citations

3.

Lehman, Blair, Caitlin Tenison, Jesse R. Sparks, et al.. (2024). Opportunities and challenges of using generative AI to personalize educational assessment. Frontiers in Artificial Intelligence. 7. 1460651–1460651. 11 indexed citations

4.

Sparks, Jesse R., Blair Lehman, & Diego Zapata‐Rivera. (2024). Caring assessments: challenges and opportunities. Frontiers in Education. 9. 2 indexed citations

5.

Ober, Teresa, et al.. (2023). Culturally Responsive Personalized Learning: Recommendations for a Working Definition and Framework. ETS Research Report Series. 2023(1). 1–14. 5 indexed citations

6.

Walker, Michael E., et al.. (2023). Culturally Responsive Assessment: Provisional Principles. ETS Research Report Series. 2023(1). 1–24. 16 indexed citations

7.

Sireci, Stephen G., et al.. (2022). Exploring Relationships among Test Takers’ Behaviors and Performance Using Response Process Data. Education Sciences. 12(2). 104–104. 6 indexed citations

8.

Jackson, G. Tanner, et al.. (2020). Awkward Annie:. 1–8. 1 indexed citations

9.

Lehman, Blair, et al.. (2017). Affect and Experience. 917–924. 7 indexed citations

10.

Graesser, Arthur C., Carol Forsyth, & Blair Lehman. (2017). Two Heads May be Better than One: Learning from Computer Agents in Conversational Trialogues. Teachers College Record The Voice of Scholarship in Education. 119(3). 1–20. 2 indexed citations

11.

Chen, Lei, Gang Feng, Chee Wee Leong, et al.. (2016). Automated scoring of interview videos using Doc2Vec multimodal feature extraction paradigm. 161–168. 33 indexed citations

12.

Shi, Feng, et al.. (2013). Reading into the Text: Investigating the Influence of Text Complexity on Cognitive Engagement.. Educational Data Mining. 296–299. 7 indexed citations

13.

Lehman, Blair, Sidney K. D’Mello, Amber Chauncey Strain, et al.. (2013). Inducing and Tracking Confusion with Contradictions during Complex Learning. International Journal of Artificial Intelligence in Education. 22(1-2). 85–105. 32 indexed citations

14.

Person, Natalie K., Andrew M. Olney, Sidney K. D’Mello, & Blair Lehman. (2012). Interactive Concept Maps and Learning Outcomes in Guru.. The Florida AI Research Society. 8 indexed citations

15.

D’Mello, Sidney K., Blair Lehman, Reinhard Pekrun, & Art Graesser. (2012). Confusion can be beneficial for learning. Learning and Instruction. 29. 153–170. 469 indexed citations breakdown →

16.

Lehman, Blair, Sidney K. D’Mello, & Art Graesser. (2012). Confusion and complex learning during interactions with computer learning environments. The Internet and Higher Education. 15(3). 184–194. 106 indexed citations

17.

Lehman, Blair, et al.. (2010). An Exploration of Off Topic Conversation. North American Chapter of the Association for Computational Linguistics. 669–672. 7 indexed citations

18.

D’Mello, Sidney K., Blair Lehman, & Natalie K. Person. (2010). Expert Tutors Feedback Is Immediate, Direct, and Discriminating. The Florida AI Research Society. 10 indexed citations

19.

Lehman, Blair, et al.. (2010). Off Topic Conversation in Expert Tutoring: Waste of Time or Learning Opportunity.. Educational Data Mining. 161(1). 101–110. 6 indexed citations

20.

D’Mello, Sidney K., Blair Lehman, & Natalie K. Person. (2010). Monitoring Affect States During Effortful Problem Solving Activities. International Journal of Artificial Intelligence in Education. 20(4). 361–389. 69 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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