Susan T. Hibbard

475 total citations
17 papers, 333 citations indexed

About

Susan T. Hibbard is a scholar working on General Health Professions, Education and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Susan T. Hibbard has authored 17 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in General Health Professions, 5 papers in Education and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Susan T. Hibbard's work include Innovations in Medical Education (4 papers), Online and Blended Learning (3 papers) and Statistical Methods and Bayesian Inference (2 papers). Susan T. Hibbard is often cited by papers focused on Innovations in Medical Education (4 papers), Online and Blended Learning (3 papers) and Statistical Methods and Bayesian Inference (2 papers). Susan T. Hibbard collaborates with scholars based in United States, United Kingdom and United Arab Emirates. Susan T. Hibbard's co-authors include John M. Ferron, Bethany A. Bell, Gianna Rendina‐Gobioff, Melinda R. Hess, Jeffrey D. Kromrey, Anthony J. Onwuegbuzie, Qun G. Jiao, Brendan Calandra, Charles Xiaoxue Wang and Aarti P. Bellara and has published in prestigious journals such as American Journal of Public Health, Educational and Psychological Measurement and Behavior Research Methods.

In The Last Decade

Susan T. Hibbard

13 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan T. Hibbard United States 6 116 71 54 53 45 17 333
Max Auerswald Germany 7 60 0.5× 30 0.4× 44 0.8× 33 0.6× 76 1.7× 8 368
Cengiz Zopluoglu United States 13 160 1.4× 177 2.5× 64 1.2× 119 2.2× 44 1.0× 33 511
Fan Jia United States 12 83 0.7× 120 1.7× 71 1.3× 106 2.0× 118 2.6× 34 446
Gianna Rendina‐Gobioff United States 7 115 1.0× 59 0.8× 44 0.8× 106 2.0× 151 3.4× 11 406
Allison J. Ames United States 10 46 0.4× 30 0.4× 63 1.2× 97 1.8× 21 0.5× 35 349
Sharon Cadman Slater United States 11 95 0.8× 50 0.7× 60 1.1× 252 4.8× 46 1.0× 18 490
A. Brooks Bowden United States 9 89 0.8× 40 0.6× 40 0.7× 242 4.6× 100 2.2× 17 418
Maxwell Mansolf United States 9 37 0.3× 51 0.7× 67 1.2× 36 0.7× 175 3.9× 31 465
Robert Shand United States 8 85 0.7× 28 0.4× 34 0.6× 259 4.9× 105 2.3× 20 415
Jean Cardinet Switzerland 7 43 0.4× 42 0.6× 75 1.4× 100 1.9× 26 0.6× 21 348

Countries citing papers authored by Susan T. Hibbard

Since Specialization
Citations

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

Fields of papers citing papers by Susan T. Hibbard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan T. Hibbard

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

All Works

17 of 17 papers shown
1.
Hibbard, Susan T., et al.. (2025). The Belongingness Scale for Physical Therapy Education: Validation in Doctor of Physical Therapy Students. Journal of Physical Therapy Education.
2.
Hibbard, Susan T., et al.. (2024). Embracing learning analytics in health professions education. New Directions for Teaching and Learning. 2024(179). 59–68.
3.
Hibbard, Susan T., et al.. (2023). An Exploration of Doctor of Physical Therapy Students' Belongingness in Clinical Education: A Validation Study. Journal of Physical Therapy Education. 37(3). 211–219. 7 indexed citations
4.
Pinheiro, Sandro O., et al.. (2023). Design and Evaluation of an Interprofessional Preceptor Development Mini-Fellowship Program. Journal of Continuing Education in the Health Professions. 44(4). 234–241.
5.
Pinheiro, Sandro O., et al.. (2022). Do Physician Assistant Students Use Retrieval-Based Strategies While Studying?. The Journal of Physician Assistant Education. 33(3). 244–247. 1 indexed citations
6.
Simpson, Courtney C., et al.. (2022). Perceived Benefits of Training Clinicians in Community Engagement for a Leadership Development Program. Family Medicine. 54(2). 134–138. 3 indexed citations
7.
Hibbard, Susan T., et al.. (2020). Coming Out, Getting Comfortable: Lesbian, Gay, Bisexual, Transgender, Queer, Plus Inclusion and Curricular Considerations. The Journal of Physician Assistant Education. 31(2). 103–107. 2 indexed citations
8.
Honda, Trenton, et al.. (2019). Considerations Around Predicting Physician Assistant National Certifying Exam Scores From PACKRAT®: A Multiprogram Study. The Journal of Physician Assistant Education. 30(2). 86–92. 2 indexed citations
9.
Wang, Charles Xiaoxue, et al.. (2012). Learning effects of an experimental EFL program in Second Life. Educational Technology Research and Development. 60(5). 943–961. 35 indexed citations
10.
Bell, Bethany A., Anthony J. Onwuegbuzie, John M. Ferron, et al.. (2012). Use of Design Effects and Sample Weights in Complex Health Survey Data: A Review of Published Articles Using Data From 3 Commonly Used Adolescent Health Surveys. American Journal of Public Health. 102(7). 1399–1405. 72 indexed citations
11.
Hibbard, Susan T., et al.. (2011). Evaluating the Effectiveness of Reading Strategies for College Students: An Action Research Approach.. 21(1). 99–114. 1 indexed citations
12.
Hibbard, Susan T., et al.. (2011). The Lunar Phases Project: A Mental Model-Based Observational Project for Undergraduate Nonscience Majors. Astronomy Education Review. 10(1). 10203–10203. 7 indexed citations
13.
Hibbard, Susan T. & Aarti P. Bellara. (2010). Assessing Learner Needs through Formative Evaluations in a Prescriptive Course: Self-reflection of Teaching Practices through Student Input. The International Journal of Learning Annual Review. 17(7). 359–368.
14.
Hibbard, Susan T., et al.. (2010). Evaluating the Use of Online Discussion Boards for Pre-service Teacher Learning. The International Journal of Learning Annual Review. 17(6). 175–186. 4 indexed citations
15.
Kromrey, Jeffrey D., et al.. (2010). A Monte Carlo Study of Eight Confidence Interval Methods for Coefficient Alpha. Educational and Psychological Measurement. 70(3). 376–393. 44 indexed citations
16.
Ferron, John M., Bethany A. Bell, Melinda R. Hess, Gianna Rendina‐Gobioff, & Susan T. Hibbard. (2009). Making treatment effect inferences from multiple-baseline data: The utility of multilevel modeling approaches. Behavior Research Methods. 41(2). 372–384. 152 indexed citations
17.
Kromrey, Jeffrey D., et al.. (2008). ALPHA_CI: A SAS ® Macro for Computing Confidence Intervals for Coefficient Alpha. 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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