David Andrich

96 papers receiving 6.6k citations

David Andrich's Hit Papers

Rasch Models for Measurement 1988 · 1.0k citations
1.0k0+16+32Years since publication50010001.5k2.0k

Peers

David Andrich
Comparison fields: 5 of 188
  • Management Science and Operations Research 1.8k
  • Statistics and Probability 828
  • Applied Psychology 386
  • Experimental and Cognitive Psychology 828
  • Developmental and Educational Psychology 673
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Countries citing papers authored by David Andrich

Since Specialization
Citations

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

Fields of papers citing papers by David Andrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Andrich, 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 David Andrich Line = papers co-authored together David Andrich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Rating Formulation for Ordered Response Categories
Hit paper breakdown →
19782193
2
Rasch Models for Measurement
Hit paper breakdown →
19881040
3 2003294
4 1978292
5 2011196
6 2017168
7
Formalizing dimension and response violations of local independence in the unidimensional Rasch model.
2008160
8 2019156
9 1988138
10 2017119
11 2003116
12 1985112
13 1978103
14 1982103
15 1978100
16 199298
17 198996
18 199393
19 201490
20 201189

About David Andrich

David Andrich is a scholar working on Management Science and Operations Research, Computer Networks and Communications, Statistics and Probability, Food Science and Education, having authored 100 papers that have together received 7.3k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (42 papers), Advanced Statistical Modeling Techniques (21 papers), Sensory Analysis and Statistical Methods (13 papers), Advanced Statistical Methods and Models (11 papers), School Choice and Performance (7 papers), Cognitive Abilities and Testing (7 papers), Bayesian Modeling and Causal Inference (7 papers) and Reliability and Agreement in Measurement (6 papers). The work is most often cited by research in Management Science and Operations Research (1.8k citations), Statistics and Probability (828 citations), Applied Psychology (386 citations), Experimental and Cognitive Psychology (828 citations) and Developmental and Educational Psychology (673 citations). David Andrich has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Ida Marais, Curt Hagquist, Guanzhong Luo, Irene Styles, Gordon Stobart, Therese N. Hopfenbeck, Stephen Humphry, Svend Kreiner, C. Jarchow and M. Fleuster. Their work appears in journals such as Applied Psychological Measurement, Educational and Psychological Measurement, Psychometrika, Applied Measurement in Education and 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.

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