Daniel Jurich

513 total citations
27 papers, 347 citations indexed

About

Daniel Jurich is a scholar working on Management Science and Operations Research, Public Health, Environmental and Occupational Health and Computer Networks and Communications. According to data from OpenAlex, Daniel Jurich has authored 27 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 9 papers in Public Health, Environmental and Occupational Health and 7 papers in Computer Networks and Communications. Recurrent topics in Daniel Jurich's work include Psychometric Methodologies and Testing (10 papers), Innovations in Medical Education (8 papers) and Advanced Statistical Modeling Techniques (7 papers). Daniel Jurich is often cited by papers focused on Psychometric Methodologies and Testing (10 papers), Innovations in Medical Education (8 papers) and Advanced Statistical Modeling Techniques (7 papers). Daniel Jurich collaborates with scholars based in United States and United Kingdom. Daniel Jurich's co-authors include Tracy E. Zinn, Sara J. Finney, Jason P. Kopp, Richard A. Feinberg, Laine Bradshaw, Miguel Paniagua, Christine E. DeMars, Sally A. Santen, Michelle Daniel and Arnyce R. Pock and has published in prestigious journals such as Academic Medicine, Clinical Journal of the American Society of Nephrology and Educational and Psychological Measurement.

In The Last Decade

Daniel Jurich

23 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
Daniel Jurich United States 11 115 80 67 49 48 27 347
Jason P. Kopp United States 10 79 0.7× 132 1.6× 137 2.0× 25 0.5× 42 0.9× 21 500
Kimberly A. Swygert United States 13 222 1.9× 39 0.5× 24 0.4× 27 0.6× 60 1.3× 32 407
Michael G. Jodoin United States 7 152 1.3× 109 1.4× 64 1.0× 254 5.2× 133 2.8× 15 659
Chi Chang United States 11 35 0.3× 177 2.2× 43 0.6× 25 0.5× 33 0.7× 20 456
Kayley Lyons Australia 14 220 1.9× 190 2.4× 36 0.5× 7 0.1× 11 0.2× 41 588
Anthony Marini Canada 12 172 1.5× 137 1.7× 20 0.3× 14 0.3× 25 0.5× 28 364
Adam N. Pate United States 10 83 0.7× 77 1.0× 84 1.3× 10 0.2× 5 0.1× 24 285
Stephen Smith United Kingdom 14 150 1.3× 134 1.7× 45 0.7× 45 0.9× 9 0.2× 39 699
Michael J. Zieky United States 7 95 0.8× 191 2.4× 15 0.2× 124 2.5× 7 0.1× 9 475
Wendy C. Cox United States 14 268 2.3× 100 1.3× 16 0.2× 11 0.2× 46 1.0× 34 376

Countries citing papers authored by Daniel Jurich

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Jurich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Jurich

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Jurich. A scholar is included among the top collaborators of Daniel Jurich 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 Daniel Jurich. Daniel Jurich 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.
LaFemina, Jennifer, et al.. (2025). Understanding the Ranking and Matching Behaviors During the 2023 and 2024 General Surgery Match Cycles: A Program Signaling Approach. Journal of surgical education. 82(9). 103599–103599.
3.
Andriole, Dorothy A., et al.. (2024). U.S. Medical School Graduates’ Placement in Graduate Medical Education: A National Study. Academic Medicine. 100(2). 158–169. 1 indexed citations
4.
Yaneva, Victoria, et al.. (2023). Examining ChatGPT Performance on USMLE Sample Items and Implications for Assessment. Academic Medicine. 99(2). 192–197. 25 indexed citations
5.
Jurich, Daniel, et al.. (2023). Measuring Item Influence for Diagnostic Classification Models. Educational Assessment. 28(4). 229–245. 2 indexed citations
6.
Jurich, Daniel, et al.. (2022). Application of Sampling Variance of Item Response Theory Parameter Estimates in Detecting Outliers in Common Item Equating. Applied Psychological Measurement. 46(6). 529–547.
7.
Jurich, Daniel, et al.. (2022). Outlier Detection Using t-test in Rasch IRT Equating under NEAT Design. Applied Psychological Measurement. 47(1). 34–47. 5 indexed citations
8.
Yaneva, Victoria, et al.. (2021). Using linguistic features to predict the response process complexity associated with answering clinical MCQs. Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton). 223–232. 1 indexed citations
9.
Hauer, Karen E., Daniel Jurich, Jonathan L. Vandergrift, et al.. (2021). Gender Differences in Milestone Ratings and Medical Knowledge Examination Scores Among Internal Medicine Residents. Academic Medicine. 96(6). 876–884. 11 indexed citations
10.
Feinberg, Richard A., Daniel Jurich, & Steven L. Wise. (2021). Reconceptualizing Rapid Responses as a Speededness Indicator in High-Stakes Assessments. Applied Measurement in Education. 34(4). 312–326.
11.
Hamstra, Stanley J., Monica M. Cuddy, Daniel Jurich, et al.. (2021). Exploring the Association Between USMLE Scores and ACGME Milestone Ratings: A Validity Study Using National Data From Emergency Medicine. Academic Medicine. 96(9). 1324–1331. 11 indexed citations
12.
McDonald, Furman S., Daniel Jurich, Miguel Paniagua, et al.. (2020). Correlations Between the USMLE Step Examinations, American College of Physicians In-Training Examination, and ABIM Internal Medicine Certification Examination. Academic Medicine. 95(9). 1388–1395. 23 indexed citations
13.
Jurich, Daniel, Michelle Daniel, Karen E. Hauer, et al.. (2020). Does Delaying the United States Medical Licensing Examination Step 1 to After Clerkships Affect Student Performance on Clerkship Subject Examinations?. Teaching and Learning in Medicine. 33(4). 366–381. 8 indexed citations
14.
Jurich, Daniel, Sally A. Santen, Miguel Paniagua, et al.. (2019). Effects of Moving the United States Medical Licensing Examination Step 1 After Core Clerkships on Step 2 Clinical Knowledge Performance. Academic Medicine. 95(1). 111–121. 17 indexed citations
15.
Jurich, Daniel, et al.. (2018). Performance on the Nephrology In-Training Examination and ABIM Nephrology Certification Examination Outcomes. Clinical Journal of the American Society of Nephrology. 13(5). 710–717. 14 indexed citations
16.
Jurich, Daniel, Michelle Daniel, Miguel Paniagua, et al.. (2018). Moving the United States Medical Licensing Examination Step 1 After Core Clerkships: An Outcomes Analysis. Academic Medicine. 94(3). 371–377. 27 indexed citations
17.
Feinberg, Richard A. & Daniel Jurich. (2017). Guidelines for Interpreting and Reporting Subscores. Educational Measurement Issues and Practice. 36(1). 5–13. 30 indexed citations
18.
Jurich, Daniel & Laine Bradshaw. (2013). An Illustration of Diagnostic Classification Modeling in Student Learning Outcomes Assessment. International Journal of Testing. 14(1). 49–72. 27 indexed citations
19.
Jurich, Daniel, et al.. (2012). Improving Academic Program Assessment: A Mixed Methods Study. Innovative Higher Education. 38(5). 383–395. 15 indexed citations
20.
Kopp, Jason P., Tracy E. Zinn, Sara J. Finney, & Daniel Jurich. (2011). The Development and Evaluation of the Academic Entitlement Questionnaire. Measurement and Evaluation in Counseling and Development. 44(2). 105–129. 109 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