Bethany McDaniel

852 total citations
9 papers, 548 citations indexed

About

Bethany McDaniel is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Bethany McDaniel has authored 9 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Developmental and Educational Psychology, 5 papers in Artificial Intelligence and 2 papers in Social Psychology. Recurrent topics in Bethany McDaniel's work include Innovative Teaching and Learning Methods (6 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and Social Robot Interaction and HRI (2 papers). Bethany McDaniel is often cited by papers focused on Innovative Teaching and Learning Methods (6 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and Social Robot Interaction and HRI (2 papers). Bethany McDaniel collaborates with scholars based in United States. Bethany McDaniel's co-authors include Arthur C. Graesser, Sidney K. D’Mello, Amy Witherspoon, Scotty D. Craig, Patrick Chipman, Art Graesser, Brandon G. King, Barry Gholson, Sidney D’Mello and Tenaha O’Reilly and has published in prestigious journals such as User Modeling and User-Adapted Interaction, Metacognition and Learning and eScholarship (California Digital Library).

In The Last Decade

Bethany McDaniel

9 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bethany McDaniel United States 7 328 279 175 149 98 9 548
Patrick Chipman United States 7 511 1.6× 268 1.0× 206 1.2× 146 1.0× 101 1.0× 11 723
Barry Kort United States 5 277 0.8× 206 0.7× 153 0.9× 129 0.9× 94 1.0× 6 572
Amy Witherspoon United States 10 412 1.3× 475 1.7× 222 1.3× 186 1.2× 112 1.1× 16 785
Joseph F. Grafsgaard United States 14 237 0.7× 148 0.5× 177 1.0× 143 1.0× 93 0.9× 23 516
Toby Dragon United States 9 220 0.7× 234 0.8× 237 1.4× 65 0.4× 51 0.5× 18 458
Scott McQuiggan United States 12 288 0.9× 197 0.7× 124 0.7× 97 0.7× 60 0.6× 19 584
Joseph B. Wiggins United States 10 147 0.4× 121 0.4× 157 0.9× 113 0.8× 71 0.7× 27 395
Kate Forbes-Riley United States 14 556 1.7× 150 0.5× 101 0.6× 202 1.4× 38 0.4× 24 676
G. Tanner Jackson United States 14 683 2.1× 584 2.1× 281 1.6× 92 0.6× 31 0.3× 42 955
Paulo F. Carvalho United States 12 198 0.6× 337 1.2× 54 0.3× 227 1.5× 154 1.6× 39 583

Countries citing papers authored by Bethany McDaniel

Since Specialization
Citations

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

Fields of papers citing papers by Bethany McDaniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bethany McDaniel

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

All Works

9 of 9 papers shown
1.
Graesser, Arthur C., Sidney K. D’Mello, Scotty D. Craig, et al.. (2008). The Relationship Between Affective States and Dialog Patterns During Interactions With AutoTutor. The Journal of Interactive Learning Research. 19(2). 293–312. 40 indexed citations
2.
McDaniel, Bethany, et al.. (2007). Facial Features for Affective State Detection in Learning Environments. eScholarship (California Digital Library). 29(29). 82 indexed citations
3.
Graesser, Arthur C., Jennifer Wiley, Susan R. Goldman, et al.. (2007). SEEK Web tutor: fostering a critical stance while exploring the causes of volcanic eruption. Metacognition and Learning. 2(2-3). 89–105. 72 indexed citations
4.
D’Mello, Sidney K., Scotty D. Craig, Amy Witherspoon, Bethany McDaniel, & Arthur C. Graesser. (2007). Automatic detection of learner’s affect from conversational cues. User Modeling and User-Adapted Interaction. 18(1-2). 45–80. 205 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.
Jeon, Moongee, Tenaha O’Reilly, Bethany McDaniel, et al.. (2005). Scaffolding Critical Thinking on SEEK. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2005(1). 2123–2128. 1 indexed citations
8.
D’Mello, Sidney K., Scotty D. Craig, Amy Witherspoon, et al.. (2005). The Relationship between Affective States and Dialog Patterns during Interactions with AutoTutor. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2005(1). 2004–2011. 2 indexed citations
9.
Graesser, Arthur C., et al.. (2005). LEARNING WHILE HOLDING A CONVERSATION WITH A COMPUTER. 15 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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