Luanna B. Prevost

917 total citations
37 papers, 599 citations indexed

About

Luanna B. Prevost is a scholar working on Education, Developmental and Educational Psychology and General Agricultural and Biological Sciences. According to data from OpenAlex, Luanna B. Prevost has authored 37 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Education, 13 papers in Developmental and Educational Psychology and 5 papers in General Agricultural and Biological Sciences. Recurrent topics in Luanna B. Prevost's work include Science Education and Pedagogy (11 papers), Evaluation of Teaching Practices (9 papers) and Educational Strategies and Epistemologies (8 papers). Luanna B. Prevost is often cited by papers focused on Science Education and Pedagogy (11 papers), Evaluation of Teaching Practices (9 papers) and Educational Strategies and Epistemologies (8 papers). Luanna B. Prevost collaborates with scholars based in United States, Australia and Puerto Rico. Luanna B. Prevost's co-authors include Mark Urban‐Lurain, John Merrill, Kevin C. Haudek, Michelle K. Smith, Jenny Knight, Melinda S. Camus, Lincoln R. Larson, Paula P. Lemons, Denise P. Domizi and Nancy E. Riley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Biological Invasions.

In The Last Decade

Luanna B. Prevost

34 papers receiving 564 citations

Peers

Luanna B. Prevost
Joseph L. Polman United States
Kai Pata Estonia
Cassandra Scharber United States
Niral Shah United States
Theresa Cullen United States
Tony Fisher United Kingdom
Douglas Levin United States
Maggie Hartnett New Zealand
Kathy Garvin-Doxas United States
Flávio S. Azevedo United States
Joseph L. Polman United States
Luanna B. Prevost
Citations per year, relative to Luanna B. Prevost Luanna B. Prevost (= 1×) peers Joseph L. Polman

Countries citing papers authored by Luanna B. Prevost

Since Specialization
Citations

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

Fields of papers citing papers by Luanna B. Prevost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luanna B. Prevost

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

All Works

20 of 20 papers shown
1.
Klemow, Kenneth M., Christopher W. Beck, Loren B. Byrne, et al.. (2025). An Overview of Current Education Efforts Within the Ecological Society of America. Bulletin of the Ecological Society of America. 106(4).
2.
Woods, Natasha N., et al.. (2025). A 4DEE Approach to Evaluating Ecological Literacy in Environmental Science Courses. Journal of College Science Teaching. 54(4). 345–352.
4.
Couch, Brian A., Luanna B. Prevost, Marilyne Stains, et al.. (2023). Examining whether and how instructional coordination occurs within introductory undergraduate STEM courses. Frontiers in Education. 8. 5 indexed citations
5.
You, Hye Sun, et al.. (2023). Machine Learning Mixed Methods Text Analysis: An Illustration From Automated Scoring Models of Student Writing in Biology Education. Journal of Mixed Methods Research. 18(1). 48–70. 12 indexed citations
6.
Skvoretz, John, Jennifer E. Lewis, John P. Ziker, et al.. (2023). Social Networks and Instructional Reform in STEM: The Teaching-Research Nexus. Innovative Higher Education. 48(4). 579–600. 5 indexed citations
7.
Feola, Sara, Jennifer E. Lewis, Luanna B. Prevost, et al.. (2023). STEM education institutional change projects: examining enacted approaches through the lens of the Four Categories of Change Strategies Model. International Journal of STEM Education. 10(1). 8 indexed citations
8.
Prevost, Luanna B., et al.. (2023). Formative assessment and student understanding of structure-function. AJP Advances in Physiology Education. 47(3). 615–624. 3 indexed citations
9.
Ziker, John P., John Skvoretz, Brian A. Couch, et al.. (2022). Development of the Cooperative Adoption Factors Instrument to measure factors associated with instructional practice in the context of institutional change. International Journal of STEM Education. 9(1). 6 indexed citations
10.
Prevost, Luanna B., et al.. (2020). Comparison of Student Success Between High-Clicker and Low-Clicker Frequency in a Large-Enrollment Introductory Biology Course. Journal of College Science Teaching. 50(2). 78–87.
11.
Zagallo, Patricia, Michelle K. Smith, Mark Urban‐Lurain, et al.. (2019). Through the Eyes of Faculty: Using Personas as a Tool for Learner-Centered Professional Development. CBE—Life Sciences Education. 18(4). ar62–ar62. 23 indexed citations
12.
Prevost, Luanna B., et al.. (2018). Question order and student understanding of structure and function. AJP Advances in Physiology Education. 42(4). 576–585. 6 indexed citations
13.
Pelletreau, Karen N., Jenny Knight, Paula P. Lemons, et al.. (2018). A Faculty Professional Development Model That Improves Student Learning, Encourages Active-Learning Instructional Practices, and Works for Faculty at Multiple Institutions. CBE—Life Sciences Education. 17(2). es5–es5. 36 indexed citations
14.
Prevost, Luanna B., Michelle K. Smith, & Jenny Knight. (2016). Using Student Writing and Lexical Analysis to Reveal Student Thinking about the Role of Stop Codons in the Central Dogma. CBE—Life Sciences Education. 15(4). ar65–ar65. 34 indexed citations
15.
Prevost, Luanna B., et al.. (2015). Students' usability evaluation of a Web‐based tutorial program for college biology problem solving. Journal of Computer Assisted Learning. 31(4). 362–377. 6 indexed citations
16.
Prevost, Luanna B., et al.. (2013). Student writing reveals their heterogeneous thinking about the origin of genetic variation in populations. 4 indexed citations
17.
Prevost, Luanna B., Kevin C. Haudek, Mark Urban‐Lurain, & John Merrill. (2012). Examining student constructed explanations of thermodynamics using lexical analysis. 6. 1–6. 10 indexed citations
18.
Haudek, Kevin C., et al.. (2012). What Are They Thinking? Automated Analysis of Student Writing about Acid–Base Chemistry in Introductory Biology. CBE—Life Sciences Education. 11(3). 283–293. 76 indexed citations
19.
Larson, Lincoln R., Matthew D. Lovelace, Luanna B. Prevost, et al.. (2012). The ‘Facebook' Effect: College Students' Perceptions of Online Discussions in the Age of Social Networking. SHILAP Revista de lepidopterología. 6(2). 95 indexed citations
20.
Prevost, Luanna B., et al.. (2008). Gender Differences in Reproductive and Physiological Traits in a Gynodioecious Species, Geranium maculatum (Geraniaceae). International Journal of Plant Sciences. 169(2). 271–279. 24 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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