David Magis
Impact in
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- Psychometric Methodologies and Testing
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Advanced Causal Inference Techniques
Papers in
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- Psychometric Methodologies and Testing 30
- Multi-Criteria Decision Making 8
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- Advanced Statistical Methods and Models 10
- Statistical Methods and Bayesian Inference 8
- Advanced Causal Inference Techniques 4
- Co-authors
- Gilles Raîche (16 shared papers)Paul De Boeck (8 shared papers)Francis Tuerlinckx (4 shared papers)Sébastien Béland (9 shared papers)Bruno Façon (11 shared papers)Jean‐Guy Blais (2 shared papers)Martin Riopel (1 shared paper)Theodore A. Walls (1 shared paper)
In The Last Decade
David Magis
67 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 144
- Management Science and Operations Research 523
- Statistics and Probability 253
- Experimental and Cognitive Psychology 200
- Developmental and Educational Psychology 159
- Computer Networks and Communications 271
Countries citing papers authored by David Magis
This map shows the geographic impact of David Magis'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 Magis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Magis more than expected).
Fields of papers citing papers by David Magis
This network shows the impact of papers produced by David Magis. 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 Magis. The network helps show where David Magis may publish in the future.
Co-authors
The 25 scholars most cited alongside David Magis, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 237 | |
| 2 | 2010 | 206 | |
| 3 | 2012 | 86 | |
| 4 | 2014 | 60 | |
| 5 | 2017 | 51 | |
| 6 | 2017 | 49 | |
| 7 | 2003 | 44 | |
| 8 | 2014 | 42 | |
| 9 | 2010 | 39 | |
| 10 | 2011 | 37 | |
| 11 | 2011 | 34 | |
| 12 | 2008 | 33 | |
| 13 | 2013 | 32 | |
| 14 | 2011 | 28 | |
| 15 | 2011 | 25 | |
| 16 | 2011 | 24 | |
| 17 | 2011 | 22 | |
| 18 | 2004 | 21 | |
| 19 | 2012 | 21 | |
| 20 | 2014 | 20 |
About David Magis
David Magis is a scholar working on Management Science and Operations Research, Statistics and Probability, Computer Networks and Communications, Cognitive Neuroscience and Developmental Neuroscience, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (30 papers), Advanced Statistical Modeling Techniques (18 papers), Advanced Statistical Methods and Models (10 papers), Multi-Criteria Decision Making (8 papers), Statistical Methods and Bayesian Inference (8 papers), Williams Syndrome Research (7 papers), Advanced Causal Inference Techniques (4 papers) and Language Development and Disorders (4 papers). The work is most often cited by research in Management Science and Operations Research (523 citations), Statistics and Probability (253 citations), Experimental and Cognitive Psychology (200 citations), Developmental and Educational Psychology (159 citations) and Computer Networks and Communications (271 citations). David Magis has collaborated with scholars based in Belgium, Canada and France. Frequent co-authors include Gilles Raîche, Paul De Boeck, Francis Tuerlinckx, Sébastien Béland, Bruno Façon, Jean‐Guy Blais, Martin Riopel, Theodore A. Walls, Juan Ramón Barrada and Duanli Yan. Their work appears in journals such as Educational and Psychological Measurement, Applied Psychological Measurement, Psychometrika, Journal of Statistical Software and Journal of Educational and Behavioral Statistics.
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.