Glenda Stump

2.5k total citations · 2 hit papers
32 papers, 1.7k citations indexed

About

Glenda Stump is a scholar working on Education, Media Technology and Developmental and Educational Psychology. According to data from OpenAlex, Glenda Stump has authored 32 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Education, 11 papers in Media Technology and 8 papers in Developmental and Educational Psychology. Recurrent topics in Glenda Stump's work include Experimental Learning in Engineering (8 papers), Innovative Teaching and Learning Methods (6 papers) and Online Learning and Analytics (5 papers). Glenda Stump is often cited by papers focused on Experimental Learning in Engineering (8 papers), Innovative Teaching and Learning Methods (6 papers) and Online Learning and Analytics (5 papers). Glenda Stump collaborates with scholars based in United States, Taiwan and Colombia. Glenda Stump's co-authors include Jennifer DeBoer, Lori Breslow, Andrew Ho, Daniel Seaton, David E. Pritchard, Jenefer Husman, T. H. Michelene, Jonathan C. Hilpert, Wonsik Kim and Wen‐Ting Chung and has published in prestigious journals such as Language, Educational Researcher and Journal of Speech Language and Hearing Research.

In The Last Decade

Glenda Stump

31 papers receiving 1.6k citations

Hit Papers

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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.

Studying Learning in the Worldwide Classroom Research into edX's First MOOC.

2013 692 citations Lori Breslow, David E. Pritchard et al. profile →
Translating the ICAP Theory of Cognitive Engagement Into Practice

2018 217 citations T. H. Michelene, Joshua Adams et al. Cognitive Science profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Glenda Stump	891	869	445	192	185	32	1.7k
Victor R. Lee	626 0.7×	576 0.7×	623 1.4×	233 1.2×	125 0.7×	112	1.7k
James Daniel Lehman	887 1.0×	460 0.5×	647 1.5×	227 1.2×	102 0.6×	71	1.6k
Hanni Muukkonen	727 0.8×	463 0.5×	482 1.1×	259 1.3×	79 0.4×	79	1.6k
Nadira Saab	1.8k 2.0×	422 0.5×	817 1.8×	437 2.3×	177 1.0×	83	2.8k
Eduardo Cascallar	1.1k 1.2×	309 0.4×	617 1.4×	176 0.9×	166 0.9×	29	1.8k
Bas Giesbers	797 0.9×	599 0.7×	426 1.0×	200 1.0×	214 1.2×	42	1.6k
Lori Lockyer	1.4k 1.6×	1.0k 1.2×	645 1.4×	428 2.2×	98 0.5×	120	2.5k
Peter Rich	974 1.1×	586 0.7×	547 1.2×	185 1.0×	64 0.3×	59	1.8k
Richard F. Schmid	1.4k 1.6×	373 0.4×	550 1.2×	424 2.2×	103 0.6×	50	2.0k

Countries citing papers authored by Glenda Stump

Since Specialization

Citations

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

Fields of papers citing papers by Glenda Stump

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Glenda Stump

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

Stump, Glenda, et al.. (2023). Beyond ray optics: building photonics intuition for waveguide modes using digital simulations and games. 87–87. 1 indexed citations

Verlage, Erik, et al.. (2023). From ray optics to modal analysis: using photonics web simulations to build intuition and address common misconceptions. Applied Optics. 63(1). 138–138. 2 indexed citations

Selby, Nicholas, et al.. (2021). TeachBot: Towards teaching robotics fundamentals for human-robot collaboration at work. Heliyon. 7(7). e07583–e07583. 7 indexed citations

Stump, Glenda, et al.. (2020). Building a Community for Educational Transformation in Higher Education. 1–5. 4 indexed citations

DeBoer, Jennifer, et al.. (2020). Developing Direct Measures of Global Competence. 23.398.1–23.398.11. 2 indexed citations

Menekşe, Muhsin, et al.. (2020). The Effectiveness of Students’ Daily Reflections on Learning in an Engineering Context. 22.1451.1–22.1451.10. 4 indexed citations

DeGraff, Michel & Glenda Stump. (2018). Kreyòl, pedagogy, and technology for opening up quality education in Haiti: Changes in teachers' metalinguistic attitudes as first steps in a paradigm shift. Language. 94(2). e127–e157. 7 indexed citations

Michelene, T. H., Joshua Adams, Seokmin Kang, et al.. (2018). Translating the ICAP Theory of Cognitive Engagement Into Practice. Cognitive Science. 42(6). 1777–1832. 217 indexed citations breakdown →

Michelene, T. H., Joshua Adams, Seokmin Kang, et al.. (2018). Translating the ICAP Theory of Cognitive Engagement into Practice.. 42. 1777–1832. 1 indexed citations

10.

Stump, Glenda, et al.. (2014). Engineering Students' Intelligence Beliefs and Learning. Journal of Engineering Education. 103(3). 369–387. 63 indexed citations

11.

DeBoer, Jennifer & Glenda Stump. (2014). National differences in an international classroom. 281–282. 1 indexed citations

12.

Breslow, Lori, David E. Pritchard, Jennifer DeBoer, et al.. (2013). Studying Learning in the Worldwide Classroom Research into edX's First MOOC.. 8. 13–25. 692 indexed citations breakdown →

13.

Menekşe, Muhsin, Glenda Stump, Stephen Krause, & T. H. Michelene. (2013). Differentiated Overt Learning Activities for Effective Instruction in Engineering Classrooms. Journal of Engineering Education. 102(3). 346–374. 147 indexed citations

14.

Brem, Sarah K., et al.. (2012). Misconceptions Regarding Emergent Phenomena Vary By Domain. Cognitive Science. 34(34).

15.

Stump, Glenda, Jenefer Husman, & Sarah K. Brem. (2012). The Nursing Student Self-Efficacy Scale. Nursing Research. 61(3). 149–158. 53 indexed citations

16.

Stump, Glenda, Jonathan C. Hilpert, Jenefer Husman, Wen‐Ting Chung, & Wonsik Kim. (2011). Collaborative Learning in Engineering Students: Gender and Achievement. Journal of Engineering Education. 100(3). 475–497. 173 indexed citations

17.

Hilpert, Jonathan C., Glenda Stump, Jenefer Husman, et al.. (2009). Steps toward a sound measure of engineering student attitudes: Pittsburgh Engineering Attitudes Scale - Revised. 2. 1–6. 6 indexed citations

18.

Stump, Glenda, et al.. (2009). Student beliefs about intelligence: Relationship to learning. 1–6. 9 indexed citations

19.

Chung, Wen‐Ting, Glenda Stump, Jonathan C. Hilpert, et al.. (2008). Addressing engineering educators’ concerns: Collaborative learning and achievement. T3A–3. 11 indexed citations

20.

Hilpert, Jonathan C., Glenda Stump, Jenefer Husman, & Wonsik Kim. (2008). An exploratory factor analysis of the Pittsburgh Freshman Engineering Attitudes Survey. F2B–9. 18 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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