Daniel Jurich
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 10%
- Clinical Reasoning and Diagnostic Skills
Papers in
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- Psychometric Methodologies and Testing 10
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- Advanced Statistical Modeling Techniques 7
- Co-authors
- Tracy E. Zinn (1 shared paper)Jason P. Kopp (1 shared paper)Sara J. Finney (1 shared paper)Richard A. Feinberg (3 shared papers)Laine Bradshaw (1 shared paper)Miguel Paniagua (3 shared papers)Christine E. DeMars (4 shared papers)Sally A. Santen (4 shared papers)
- Journals
- Academic Medicine (7 papers)Applied Psychological Measurement (4 papers)Applied Measurement in Education (3 papers)Innovative Higher Education (1 paper)Journal of Veterinary Medical Education (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Daniel Jurich
24 papers receiving 332 citations
Peers
Comparison fields: 5 of 60
- Health Informatics 28
- Family Practice 21
- Management Science and Operations Research 50
- Social Psychology 67
- Statistics and Probability 27
Countries citing papers authored by Daniel Jurich
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
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-authors
The 25 scholars most cited alongside Daniel Jurich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 110 | |
| 2 | 2017 | 31 | |
| 3 | 2023 | 29 | |
| 4 | 2018 | 27 | |
| 5 | 2013 | 27 | |
| 6 | 2020 | 24 | |
| 7 | 2019 | 17 | |
| 8 | 2012 | 16 | |
| 9 | 2018 | 14 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 11 | |
| 12 | 2014 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2022 | 6 | |
| 15 | 2012 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2018 | 2 | |
| 19 | 2012 | 2 | |
| 20 | 2023 | 2 |
About Daniel Jurich
Daniel Jurich is a scholar working on Management Science and Operations Research, Computer Networks and Communications, Statistics and Probability, Public Health, Environmental and Occupational Health and Experimental and Cognitive Psychology, having authored 28 papers that have together received 358 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (10 papers), Advanced Statistical Modeling Techniques (7 papers), Advanced Statistical Methods and Models (4 papers), Innovations in Medical Education (3 papers), Reliability and Agreement in Measurement (2 papers), Disability Education and Employment (1 paper), Statistics Education and Methodologies (1 paper) and Behavioral and Psychological Studies (1 paper). The work is most often cited by research in Health Informatics (28 citations), Family Practice (21 citations), Management Science and Operations Research (50 citations), Social Psychology (67 citations) and Statistics and Probability (27 citations). Daniel Jurich has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Tracy E. Zinn, Jason P. Kopp, Sara J. Finney, Richard A. Feinberg, Laine Bradshaw, Miguel Paniagua, Christine E. DeMars, Sally A. Santen, Brian E. Clauser and Michael Barone. Their work appears in journals such as Academic Medicine, Applied Psychological Measurement, Applied Measurement in Education, Innovative Higher Education and Journal of Veterinary Medical Education.
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.