R. Philip Chalmers
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- Psychometric Methodologies and Testing 23
- Multi-Criteria Decision Making 3
- Statistics and Probability top 1%
- Statistical Methods and Bayesian Inference 10
- Advanced Statistical Methods and Models 5
- Advanced Causal Inference Techniques 4
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- Mental Health Research Topics 3
- Applied Psychology top 5%
- Clinical Psychology top 5%
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- Advanced Statistical Modeling Techniques 22
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- Reliability and Agreement in Measurement 2
- Co-authors
- David B. FloraCathy LabrishAlyssa CounsellJolynn PekYang LiuMauricio Garnier‐VillarrealNiels SmitsCaroline B. Terwee
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityExperimental and Cognitive Psychology
- Journals
- Applied Psychological Measurement (5 papers)Educational and Psychological Measurement (4 papers)Psychometrika (3 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
R. Philip Chalmers
29 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Management Science and Operations Research 778
- Statistics and Probability 378
- Experimental and Cognitive Psychology 493
- Applied Psychology 160
- Clinical Psychology 519
Countries citing papers authored by R. Philip Chalmers
This map shows the geographic impact of R. Philip Chalmers'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 R. Philip Chalmers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Philip Chalmers more than expected).
Fields of papers citing papers by R. Philip Chalmers
This network shows the impact of papers produced by R. Philip Chalmers. 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 R. Philip Chalmers. The network helps show where R. Philip Chalmers may publish in the future.
Co-authorship network
The 24 scholars most cited alongside R. Philip Chalmers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 12 | |
| 7 | 2020 | 7 | |
| 8 | 2020 | 17 | |
| 9 | 2018 | 13 | |
| 10 | 2018 | 19 | |
| 11 | 2018 | 21 | |
| 12 | 2017 | 15 | |
| 13 | 2016 | 3 | |
| 14 | 2016 | 73 | |
| 15 | 2016 | 43 | |
| 16 | 2015 | 95 | |
| 17 | 2015 | 30 | |
| 18 | 2015 | 1 | |
| 19 | mirt: A Multidimensional Item Response Theory Package for theREnvironmentbreakdown → | 2012 | 1673 |
| 20 | 2012 | 160 |
About R. Philip Chalmers
R. Philip Chalmers is a scholar working on Statistics and Probability, Management Science and Operations Research and Computer Networks and Communications, having authored 31 papers that have together received 2.4k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (23 papers), Advanced Statistical Modeling Techniques (22 papers), Statistical Methods and Bayesian Inference (10 papers), Advanced Statistical Methods and Models (5 papers), Advanced Causal Inference Techniques (4 papers), Multi-Criteria Decision Making (3 papers), Mental Health Research Topics (3 papers) and Reliability and Agreement in Measurement (2 papers). The work is most often cited by research in Management Science and Operations Research (778 citations), Statistics and Probability (378 citations) and Experimental and Cognitive Psychology (493 citations). R. Philip Chalmers has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include David B. Flora, Cathy Labrish, Alyssa Counsell, Jolynn Pek, Yang Liu, Mauricio Garnier‐Villarreal, Niels Smits, Caroline B. Terwee, Georges Monette and Bethany E. Kok. Their work appears in journals such as Applied Psychological Measurement, Educational and Psychological Measurement, Psychometrika, Journal of Educational Measurement and Multivariate Behavioral Research.
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.