Elizabeth B. Cloude

803 total citations
23 papers, 429 citations indexed

About

Elizabeth B. Cloude is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Elizabeth B. Cloude has authored 23 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Developmental and Educational Psychology, 9 papers in Artificial Intelligence and 8 papers in Computer Science Applications. Recurrent topics in Elizabeth B. Cloude's work include Innovative Teaching and Learning Methods (18 papers), Educational Games and Gamification (9 papers) and Intelligent Tutoring Systems and Adaptive Learning (9 papers). Elizabeth B. Cloude is often cited by papers focused on Innovative Teaching and Learning Methods (18 papers), Educational Games and Gamification (9 papers) and Intelligent Tutoring Systems and Adaptive Learning (9 papers). Elizabeth B. Cloude collaborates with scholars based in United States, Finland and Germany. Elizabeth B. Cloude's co-authors include Roger Azevedo, Daryn A. Dever, Andrew Emerson, James Lester, Megan Wiedbusch, Michelle Taub, Gautam Biswas, Franz Wortha, Ramkumar Rajendran and James C. Lester and has published in prestigious journals such as Frontiers in Psychology, Cognitive Science and Learning and Instruction.

In The Last Decade

Elizabeth B. Cloude

21 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elizabeth B. Cloude United States	12	244	181	137	105	66	23	429
Ma. Victoria Almeda United States	11	230 0.9×	190 1.0×	111 0.8×	176 1.7×	60 0.9×	25	481
Toby Dragon United States	9	234 1.0×	237 1.3×	220 1.6×	88 0.8×	65 1.0×	18	458
Héctor J. Pijeira‐Díaz Netherlands	9	197 0.8×	156 0.9×	67 0.5×	154 1.5×	57 0.9×	15	406
Megan Wiedbusch United States	10	135 0.6×	102 0.6×	73 0.5×	63 0.6×	48 0.7×	17	263
Daryn A. Dever United States	10	145 0.6×	105 0.6×	87 0.6×	56 0.5×	38 0.6×	21	256
Pablo Pirnay‐Dummer Germany	11	217 0.9×	69 0.4×	131 1.0×	125 1.2×	51 0.8×	23	381
Márta Sobocinski Finland	8	311 1.3×	146 0.8×	61 0.4×	199 1.9×	64 1.0×	13	454
Eetu Haataja Finland	11	298 1.2×	138 0.8×	68 0.5×	169 1.6×	92 1.4×	14	499
Bethany McDaniel United States	7	279 1.1×	175 1.0×	328 2.4×	82 0.8×	149 2.3×	9	548
Krittaya Leelawong United States	7	342 1.4×	187 1.0×	337 2.5×	136 1.3×	41 0.6×	10	551

Countries citing papers authored by Elizabeth B. Cloude

Since Specialization

Citations

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

Fields of papers citing papers by Elizabeth B. Cloude

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth B. Cloude. 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 Elizabeth B. Cloude. The network helps show where Elizabeth B. Cloude may publish in the future.

Co-authorship network of co-authors of Elizabeth B. Cloude

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

All Works

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20 of 20 papers shown

Baker, Ryan S., et al.. (2025). The Confrustion Constellation: A New Way of Looking at Confusion and Frustration. Cognitive Science. 49(1). e70035–e70035. 1 indexed citations

Zhao, Linxuan, Mladen Raković, Elizabeth B. Cloude, et al.. (2025). The Effect of Sequential Transition of Self-Regulated Learning Processes on Performance: Insights from Ordered Network Analysis. Monash University Research Portal (Monash University). 516–526.

Cloude, Elizabeth B., et al.. (2024). Exploring Confusion and Frustration as Non-linear Dynamical Systems. Trepo - Institutional Repository of Tampere University. 241–252. 3 indexed citations

Cloude, Elizabeth B., et al.. (2024). Novice programmers inaccurately monitor the quality of their work and their peers’ work in an introductory computer science course. Trepo - Institutional Repository of Tampere University. 35–45. 1 indexed citations

Kiili, Kristian, et al.. (2023). Demystifying the Relations of Motivation and Emotions in Game-Based Learning. International Journal of Serious Games. 10(4). 93–112. 4 indexed citations

Cloude, Elizabeth B., et al.. (2023). Measuring Self-regulated Learning Processes in Computer Science Education. International Conference on Computers in Education.

Dever, Daryn A., Mary Jean Amon, Hana Vrzáková, et al.. (2022). Capturing Sequences of Learners' Self-Regulatory Interactions With Instructional Material During Game-Based Learning Using Auto-Recurrence Quantification Analysis. Frontiers in Psychology. 13. 813677–813677. 13 indexed citations

Azevedo, Roger, François Bouchet, Melissa Duffy, et al.. (2022). Lessons Learned and Future Directions of MetaTutor: Leveraging Multichannel Data to Scaffold Self-Regulated Learning With an Intelligent Tutoring System. Frontiers in Psychology. 13. 813632–813632. 86 indexed citations

Cloude, Elizabeth B., Roger Azevedo, Philip H. Winne, Gautam Biswas, & Eunice Eunhee Jang. (2022). System design for using multimodal trace data in modeling self-regulated learning. Frontiers in Education. 7. 11 indexed citations

10.

Cloude, Elizabeth B., Daryn A. Dever, Debbie L. Hahs‐Vaughn, et al.. (2022). Affective Dynamics and Cognition During Game-Based Learning. IEEE Transactions on Affective Computing. 13(4). 1705–1717. 7 indexed citations

11.

Dever, Daryn A., Megan Wiedbusch, Elizabeth B. Cloude, James C. Lester, & Roger Azevedo. (2021). Emotions and the Comprehension of Single versus Multiple Texts during Game-based Learning. Discourse Processes. 59(1-2). 94–115. 14 indexed citations

12.

Cloude, Elizabeth B., Franz Wortha, Daryn A. Dever, & Roger Azevedo. (2021). Negative emotional dynamics shape cognition and performance with MetaTutor: Toward building affect-aware systems. 1–8. 12 indexed citations

13.

Cloude, Elizabeth B., et al.. (2021). Investigating Student Reflection during Game-Based Learning in Middle Grades Science. 280–291. 8 indexed citations

14.

Dever, Daryn A., Roger Azevedo, Elizabeth B. Cloude, & Megan Wiedbusch. (2020). The Impact of Autonomy and Types of Informational Text Presentations in Game-Based Environments on Learning: Converging Multi-Channel Processes Data and Learning Outcomes. International Journal of Artificial Intelligence in Education. 30(4). 581–615. 17 indexed citations

15.

Cloude, Elizabeth B., Franz Wortha, Daryn A. Dever, & Roger Azevedo. (2020). How do Emotions Change during Learning with an Intelligent Tutoring System? Metacognitive Monitoring and Performance with MetaTutor.. Cognitive Science. 9 indexed citations

16.

Cloude, Elizabeth B., Daryn A. Dever, Megan Wiedbusch, & Roger Azevedo. (2020). Quantifying Scientific Thinking Using Multichannel Data With Crystal Island: Implications for Individualized Game-Learning Analytics. Frontiers in Education. 5. 13 indexed citations

17.

Emerson, Andrew, Elizabeth B. Cloude, Roger Azevedo, & James Lester. (2020). Multimodal learning analytics for game‐based learning. British Journal of Educational Technology. 51(5). 1505–1526. 93 indexed citations

18.

Taub, Michelle, et al.. (2019). How are students’ emotions related to the accuracy of cognitive and metacognitive processes during learning with an intelligent tutoring system?. Learning and Instruction. 72. 101200–101200. 70 indexed citations

19.

Cloude, Elizabeth B., et al.. (2018). Development of mnemonic discrimination during childhood. Learning & Memory. 25(6). 294–297. 31 indexed citations

20.

Gibbons, Jeffrey A., et al.. (2018). Affective change greater for unpleasant than pleasant events in autobiographical memory of children and adults: A retrospective study. Cognitive Development. 47. 46–52. 12 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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