William J. Pluta

461 total citations
9 papers, 336 citations indexed

About

William J. Pluta is a scholar working on Education, Public Health, Environmental and Occupational Health and Developmental and Educational Psychology. According to data from OpenAlex, William J. Pluta has authored 9 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Education, 5 papers in Public Health, Environmental and Occupational Health and 3 papers in Developmental and Educational Psychology. Recurrent topics in William J. Pluta's work include Innovations in Medical Education (5 papers), Science Education and Pedagogy (3 papers) and Innovative Teaching and Learning Methods (2 papers). William J. Pluta is often cited by papers focused on Innovations in Medical Education (5 papers), Science Education and Pedagogy (3 papers) and Innovative Teaching and Learning Methods (2 papers). William J. Pluta collaborates with scholars based in United States and India. William J. Pluta's co-authors include Clark A. Chinn, Ravit Golan Duncan, Aubrie Swan Sein, Jonathan M. Amiel, Luke A. Buckland, Richard A. Duschl, Caitlin B. Clancy, C. Jessica Dine, Judy A. Shea and Jennifer R. Kogan and has published in prestigious journals such as Journal of General Internal Medicine, Academic Medicine and Journal of Research in Science Teaching.

In The Last Decade

William J. Pluta

8 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William J. Pluta United States 5 237 158 69 21 20 9 336
Diana Stentoft Denmark 9 240 1.0× 65 0.4× 66 1.0× 42 2.0× 7 0.3× 31 378
I. van den Berg Netherlands 5 307 1.3× 75 0.5× 59 0.9× 8 0.4× 5 0.3× 11 427
Kirsten Hofgaard Lycke Norway 8 200 0.8× 70 0.4× 79 1.1× 15 0.7× 5 0.3× 19 271
E. Caroline Wylie United States 11 313 1.3× 88 0.6× 37 0.5× 6 0.3× 9 0.5× 38 459
Sunčana Kukolja Taradi Croatia 7 186 0.8× 58 0.4× 124 1.8× 37 1.8× 3 0.1× 13 361
Milan Taradi Croatia 5 169 0.7× 55 0.3× 107 1.6× 27 1.3× 3 0.1× 7 312
Elien Peeters Belgium 2 360 1.5× 156 1.0× 25 0.4× 4 0.2× 24 1.2× 5 434
Tim McMahon Ireland 9 216 0.9× 40 0.3× 39 0.6× 6 0.3× 4 0.2× 15 300
Kristen Huff United States 9 136 0.6× 40 0.3× 104 1.5× 4 0.2× 14 0.7× 19 277
Betty McDonald Trinidad and Tobago 6 270 1.1× 57 0.4× 35 0.5× 2 0.1× 12 0.6× 24 327

Countries citing papers authored by William J. Pluta

Since Specialization
Citations

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

Fields of papers citing papers by William J. Pluta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. Pluta. 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 William J. Pluta. The network helps show where William J. Pluta may publish in the future.

Co-authorship network of co-authors of William J. Pluta

This figure shows the co-authorship network connecting the top 25 collaborators of William J. Pluta. A scholar is included among the top collaborators of William J. Pluta 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 William J. Pluta. William J. Pluta 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.
Dine, C. Jessica, et al.. (2024). Finding the Needle in the Haystack: Can Natural Language Processing of Students’ Evaluations of Teachers Identify Teaching Concerns?. Journal of General Internal Medicine. 40(1). 119–123. 1 indexed citations
2.
Clancy, Caitlin B., William J. Pluta, Gary E. Weissman, et al.. (2023). Natural Language Processing of Learners’ Evaluations of Attendings to Identify Professionalism Lapses. Evaluation & the Health Professions. 46(3). 225–232. 3 indexed citations
3.
Clancy, Caitlin B., et al.. (2022). Analysis of Professionalism Themes Raised in Evaluations of Faculty. JAMA Network Open. 5(7). e2221613–e2221613. 1 indexed citations
4.
Amos, Jennifer, et al.. (2020). Carle Illinois College of Medicine. Academic Medicine. 95(9S). S142–S145. 3 indexed citations
5.
Sein, Aubrie Swan, et al.. (2020). Twelve tips for embedding assessment for and as learning practices in a programmatic assessment system. Medical Teacher. 43(3). 300–306. 31 indexed citations
6.
Pluta, William J., et al.. (2013). PBL and Beyond: Trends in Collaborative Learning. Teaching and Learning in Medicine. 25(sup1). S9–S16. 121 indexed citations
7.
Pluta, William J., Clark A. Chinn, & Ravit Golan Duncan. (2011). Learners' epistemic criteria for good scientific models. Journal of Research in Science Teaching. 48(5). 486–511. 150 indexed citations
8.
Chinn, Clark A., Richard A. Duschl, Ravit Golan Duncan, Luke A. Buckland, & William J. Pluta. (2008). A microgenetic classroom study of learning to reason scientifically through modeling and argumentation. International Conference of Learning Sciences. 14–15. 17 indexed citations
9.
Pluta, William J., Luke A. Buckland, Clark A. Chinn, Ravit Golan Duncan, & Richard A. Duschl. (2008). Learning to evaluate scientific models. International Conference of Learning Sciences. 411–412. 9 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026