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
- Jason P. Kopp (1 shared paper)Tracy E. Zinn (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)Educational Measurement Issues and Practice (1 paper)Educational and Psychological Measurement (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Daniel Jurich
27 papers receiving 344 citations
Peers
Comparison fields: 5 of 63
- Health Informatics 28
- Family Practice 22
- Management Science and Operations Research 57
- Statistics and Probability 30
- Social Psychology 71
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 113 | |
| 2 | 2017 | 32 | |
| 3 | 2023 | 29 | |
| 4 | 2018 | 27 | |
| 5 | 2013 | 27 | |
| 6 | 2020 | 24 | |
| 7 | 2019 | 17 | |
| 8 | 2012 | 17 | |
| 9 | 2018 | 15 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 11 | |
| 12 | 2014 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2022 | 6 | |
| 15 | 2012 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2012 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2018 | 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 Statistics, Probability and Uncertainty, having authored 30 papers that have together received 374 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 (5 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 (22 citations), Management Science and Operations Research (57 citations), Statistics and Probability (30 citations) and Social Psychology (71 citations). Daniel Jurich has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jason P. Kopp, Tracy E. Zinn, Sara J. Finney, Richard A. Feinberg, Laine Bradshaw, Miguel Paniagua, Christine E. DeMars, Sally A. Santen, Arnyce R. Pock and Victoria Yaneva. Their work appears in journals such as Academic Medicine, Applied Psychological Measurement, Applied Measurement in Education, Educational Measurement Issues and Practice and Educational and Psychological Measurement.
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.