Nicholas V. Mudrick

615 total citations
11 papers, 168 citations indexed

About

Nicholas V. Mudrick is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Nicholas V. Mudrick has authored 11 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Developmental and Educational Psychology, 7 papers in Artificial Intelligence and 3 papers in Computer Science Applications. Recurrent topics in Nicholas V. Mudrick's work include Innovative Teaching and Learning Methods (8 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and Online Learning and Analytics (3 papers). Nicholas V. Mudrick is often cited by papers focused on Innovative Teaching and Learning Methods (8 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and Online Learning and Analytics (3 papers). Nicholas V. Mudrick collaborates with scholars based in United States, Hong Kong and Germany. Nicholas V. Mudrick's co-authors include Roger Azevedo, Michelle Taub, Jonathan Rowe, James Lester, Shuo Yang, Boxuan Zhong, Edgar Lobatón, Junyu Chen, Franz Wortha and James C. Lester and has published in prestigious journals such as Computers in Human Behavior, Teachers College Record The Voice of Scholarship in Education and Educational Data Mining.

In The Last Decade

Nicholas V. Mudrick

11 papers receiving 156 citations

Peers

Countries citing papers authored by Nicholas V. Mudrick

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas V. Mudrick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas V. Mudrick. 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 Nicholas V. Mudrick. The network helps show where Nicholas V. Mudrick may publish in the future.

Co-authorship network of co-authors of Nicholas V. Mudrick

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

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	Designing Adaptive Intelligent Tutoring Systems: Fostering Cognitive, Affective, and Metacognitive Self-Regulated Learning Processes Using Multimodal, Multichannel Process Data. 2018 ·NCSU Libraries Repository (North Carolina State University Libraries) ·Nicholas V. Mudrick	1
2	Integrating metacognitive judgments and eye movements using sequential pattern mining to understand processes underlying multimedia learning 2018 ·Computers in Human Behavior ·Nicholas V. Mudrick, Roger Azevedo, Michelle Taub	39
3	On the Influence on Learning of Student Compliance with Prompts Fostering Self-Regulated Learning. 2017 ·Educational Data Mining ·Sébastien Lallé, Cristina Conati, Roger Azevedo, Michelle Taub, Nicholas V. Mudrick	4
4	Emotion recognition with facial expressions and physiological signals 2017 ·Boxuan Zhong, (unknown), Shuo Yang, Junyu Chen, Nicholas V. Mudrick, Michelle Taub, Roger Azevedo, Edgar Lobatón	22
5	Toward affect-sensitive virtual human tutors: The influence of facial expressions on learning and emotion 2017 ·Nicholas V. Mudrick, Michelle Taub, Roger Azevedo, Jonathan Rowe, James C. Lester	8
6	Using multi-channel data with multi-level modeling to assess in-game performance during gameplay with Crystal Island 2017 ·Computers in Human Behavior ·Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, (unknown), Jonathan Rowe, James Lester	44
7	Understanding and Reasoning about Real-Time Cognitive, Affective, and Metacognitive Processes to Foster Self-Regulation with Advanced Learning Technologies 2017 ·Roger Azevedo, Michelle Taub, Nicholas V. Mudrick	22
8	Using data visualizations to foster emotion regulation during self-regulated learning with advanced learning technologies 2017 ·Roger Azevedo, (unknown), Michelle Taub, Nicholas V. Mudrick, (unknown), (unknown)	14
9	Coupling Between Metacognition and Emotions During STEM Learning With Advanced Learning Technologies: A Critical Analysis, Implications for Future Research, and Design of Learning Systems 2017 ·Teachers College Record The Voice of Scholarship in Education ·Roger Azevedo, Nicholas V. Mudrick, Michelle Taub, Franz Wortha	6
10	Development of a Human Factors Methods Blog for an Audience of Game Developers 2016 ·Proceedings of the Human Factors and Ergonomics Society Annual Meeting ·(unknown), (unknown), Nicholas V. Mudrick, Michelle Taub	1
11	CSCL and Learning Analytics: Opportunities to Support Social Interaction, Self-Regulation and Socially Shared Regulation. 2015 ·Computer Supported Collaborative Learning ·Alyssa Friend Wise, Roger Azevedo, Karsten Stegmann, Jonna Malmberg, Carolyn Penstein Rosé, Nicholas V. Mudrick, Michelle Taub, (unknown), (unknown), Jin Mu, Hanna Järvenoja, Sanna Järvelä, Miaomiao Wen, Diyi Yang, Frank Fischer	7

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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