John T. Willse

2.9k total citations · 2 hit papers
34 papers, 2.0k citations indexed

About

John T. Willse is a scholar working on Management Science and Operations Research, Education and Computer Networks and Communications. According to data from OpenAlex, John T. Willse has authored 34 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 10 papers in Education and 8 papers in Computer Networks and Communications. Recurrent topics in John T. Willse's work include Psychometric Methodologies and Testing (9 papers), Advanced Statistical Modeling Techniques (8 papers) and School Choice and Performance (4 papers). John T. Willse is often cited by papers focused on Psychometric Methodologies and Testing (9 papers), Advanced Statistical Modeling Techniques (8 papers) and School Choice and Performance (4 papers). John T. Willse collaborates with scholars based in United States, Germany and Nepal. John T. Willse's co-authors include Robert A. Henson, Jonathan Templin, E. Lea Witta, Stephen A. Sivo, Xitao Fan, Beate P. Winterstein, Paul J. Silvia, Julie Edmunds, Nina Arshavsky and Jane E. Myers and has published in prestigious journals such as PLoS ONE, Psychometrika and Educational and Psychological Measurement.

In The Last Decade

John T. Willse

33 papers receiving 1.9k citations

Hit Papers

align trajectories

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.

Assessing creativity with divergent thinking tasks: Exploring the reliability and validity of new subjective scoring methods.

2008 616 citations Paul J. Silvia, Beate P. Winterstein et al. Psychology of Aesthetics Creativity and the Arts profile →
Defining a Family of Cognitive Diagnosis Models Using Log-Linear Models with Latent Variables

2008 398 citations Robert A. Henson, Jonathan Templin et al. Psychometrika profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John T. Willse United States	16	731	355	326	308	291	34	2.0k
Jaap van Heerden Netherlands	9	682 0.9×	464 1.3×	345 1.1×	303 1.0×	264 0.9×	19	2.3k
Dylan Molenaar Netherlands	23	668 0.9×	190 0.5×	479 1.5×	302 1.0×	115 0.4×	76	2.0k
Walter P. Vispoel United States	25	549 0.8×	435 1.2×	463 1.4×	319 1.0×	663 2.3×	85	2.4k
Francisco J. Abad Spain	29	1.4k 1.9×	497 1.4×	562 1.7×	591 1.9×	393 1.4×	131	3.5k
Moritz Heene Germany	17	829 1.1×	683 1.9×	183 0.6×	516 1.7×	426 1.5×	44	2.9k
Ulrich Schroeders Germany	27	935 1.3×	555 1.6×	151 0.5×	158 0.5×	568 2.0×	77	2.1k
Joachim Funke Germany	26	680 0.9×	350 1.0×	329 1.0×	157 0.5×	411 1.4×	144	2.2k
Malcolm James Ree United States	27	1.1k 1.5×	997 2.8×	389 1.2×	109 0.4×	182 0.6×	96	2.6k
Matthew C. Makel United States	23	780 1.1×	368 1.0×	96 0.3×	209 0.7×	805 2.8×	62	2.5k
Christine E. DeMars United States	23	514 0.7×	330 0.9×	817 2.5×	92 0.3×	622 2.1×	72	2.1k

Countries citing papers authored by John T. Willse

Since Specialization

Citations

This map shows the geographic impact of John T. Willse'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 John T. Willse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Willse more than expected).

Fields of papers citing papers by John T. Willse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John T. Willse. 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 John T. Willse. The network helps show where John T. Willse may publish in the future.

Co-authorship network of co-authors of John T. Willse

This figure shows the co-authorship network connecting the top 25 collaborators of John T. Willse. A scholar is included among the top collaborators of John T. Willse 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 John T. Willse. John T. Willse 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

Remington, David L., et al.. (2021). An introductory biology research-rich laboratory course shows improvements in students’ research skills, confidence, and attitudes. PLoS ONE. 16(12). e0261278–e0261278. 12 indexed citations

Kim, Kyung Yong, John T. Willse, Shyh‐Huei Chen, et al.. (2020). Using a Projection IRT Method for Vertical Scaling When Construct Shift Is Present. Journal of Educational Measurement. 58(2). 211–235. 7 indexed citations

Ip, Edward H., et al.. (2019). Bias and Bias Correction Method for Nonproportional Abilities Requirement (NPAR) Tests. Journal of Educational Measurement. 56(1). 147–168. 5 indexed citations

Willse, John T.. (2017). Polytomous Rasch Models in Counseling Assessment. Measurement and Evaluation in Counseling and Development. 50(4). 248–255. 15 indexed citations

Reese, Ryan F., Jane E. Myers, Todd F. Lewis, & John T. Willse. (2015). Construction and Initial Validation of the Reese EcoWellness Inventory. International Journal for the Advancement of Counselling. 37(2). 124–142. 19 indexed citations

Kemer, Gülşah, L. DiAnne Borders, & John T. Willse. (2014). Cognitions of Expert Supervisors in Academe: A Concept Mapping Approach. Counselor Education and Supervision. 53(1). 2–18. 21 indexed citations

Edmunds, Julie, et al.. (2013). Mandated Engagement: The Impact of Early College High Schools. Teachers College Record The Voice of Scholarship in Education. 115(7). 1–31. 34 indexed citations

Goodman, Joshua, John T. Willse, Nancy L. Allen, & John Klaric. (2011). Identification of Differential Item Functioning in Assessment Booklet Designs With Structurally Missing Data. Educational and Psychological Measurement. 71(1). 80–94. 6 indexed citations

Henning, Jolene M., et al.. (2011). Students Provide Accurate, But Not Always Detailed, Feedback to a Peer Performing an Orthopedic Assessment Skill. Internet Journal of Allied Health Sciences and Practice. 1 indexed citations

10.

Bernstein, Larry, Ryoko Yamaguchi, Fatih Unlu, et al.. (2010). Early Findings from the Implementation and Impact Study of Early College High School.. Society for Research on Educational Effectiveness. 2 indexed citations

11.

Kalcounis‐Rueppell, Matina C., Jessica Briggs, John T. Willse, et al.. (2010). Differences in Ultrasonic Vocalizations between Wild and Laboratory California Mice (Peromyscus californicus). PLoS ONE. 5(4). e9705–e9705. 55 indexed citations

12.

Edmunds, Julie, Lawrence S. Bernstein, Elizabeth Glennie, et al.. (2010). Preparing Students for College: The Implementation and Impact of the Early College High School Model. Peabody Journal of Education. 85(3). 348–364. 34 indexed citations

13.

Henning, Jolene M., et al.. (2010). Accuracy and Reliability of Peer Assessment of Athletic Training Psychomotor Laboratory Skills. Journal of Athletic Training. 45(6). 609–614. 15 indexed citations

14.

Wester, Kelly L., John T. Willse, & Mark S. Davis. (2010). Psychological Climate, Stress, and Research Integrity Among Research Counselor Educators: A Preliminary Study. Counselor Education and Supervision. 50(1). 39–55. 7 indexed citations

15.

Henson, Robert A., Jonathan Templin, & John T. Willse. (2008). Defining a Family of Cognitive Diagnosis Models Using Log-Linear Models with Latent Variables. Psychometrika. 74(2). 191–210. 398 indexed citations breakdown →

16.

Willse, John T., Joshua Goodman, Nancy L. Allen, & John Klaric. (2008). Using Structural Equation Modeling to Examine Group Differences in Assessment Booklet Designs with Sparse Data. Applied Measurement in Education. 21(3). 253–272. 2 indexed citations

17.

Silvia, Paul J., et al.. (2008). Assessing creativity with divergent thinking tasks: Exploring the reliability and validity of new subjective scoring methods.. Psychology of Aesthetics Creativity and the Arts. 2(2). 68–85. 616 indexed citations breakdown →

18.

Silvia, Paul J., Beate P. Winterstein, & John T. Willse. (2008). Rejoinder: The madness to our method: Some thoughts on divergent thinking.. Psychology of Aesthetics Creativity and the Arts. 2(2). 109–114. 16 indexed citations

19.

Willse, John T., et al.. (2007). Value Added: Back to Basics in Measuring Change.. Assessment Update. 19(5). 10–12. 4 indexed citations

20.

Willse, John T., et al.. (2003). Experience and reliability of Framatome ANP's PWR and BWR fuel. 3 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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