Robert Philip Chalmers

3.8k citations
31 papers · 2.6k · 1 hit paper · h-index 15

Impact in

Papers in

Robert Philip Chalmers

31 papers receiving 2.5k citations

Robert Philip Chalmers's Hit Papers

mirt : A Multidimensional Item Response Theory Package for the R Environment 2012 · 1.9k citations
1.9k0+4+9Years since publication50010001.5k

Peers

Robert Philip Chalmers
Comparison fields: 5 of 152
  • Management Science and Operations Research 808
  • Statistics and Probability 388
  • Experimental and Cognitive Psychology 455
  • Applied Psychology 151
  • Clinical Psychology 444
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Countries citing papers authored by Robert Philip Chalmers

Since Specialization
Citations

This map shows the geographic impact of Robert 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 Robert 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 Robert Philip Chalmers more than expected).

Fields of papers citing papers by Robert Philip Chalmers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert 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 Robert Philip Chalmers. The network helps show where Robert Philip Chalmers may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert Philip Chalmers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert Philip Chalmers Line = papers co-authored together Robert Philip Chalmers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
mirt : A Multidimensional Item Response Theory Package for the R Environment
Hit paper breakdown →
20121864
2 2012174
3 201595
4 201687
5 202063
6 201752
7 201647
8 201531
9 201823
10 201721
11 201419
12 201519
13 201819
14 202018
15 201816
16 201714
17 202312
18 20178
19 20207
20 20226

About Robert Philip Chalmers

Robert Philip Chalmers is a scholar working on Management Science and Operations Research, Statistics and Probability, Computer Networks and Communications, Experimental and Cognitive Psychology and Statistics, Probability and Uncertainty, having authored 31 papers that have together received 2.6k 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 Optimal Experimental Design Methods (2 papers). The work is most often cited by research in Management Science and Operations Research (808 citations), Statistics and Probability (388 citations), Experimental and Cognitive Psychology (455 citations), Applied Psychology (151 citations) and Clinical Psychology (444 citations). Robert 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 C. X. Pek, Niels Smits, Mauricio Garnier‐Villarreal, Caroline Barbara Terwee, Yang Liu, Diane Losardo and Georges A. Monette. Their work appears in journals such as Applied Psychological Measurement, Educational and Psychological Measurement, Psychometrika, British Journal of Mathematical and Statistical Psychology and Journal of Statistical Software.

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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