David Magis

2.0k citations
73 papers · 1.4k · h-index 20

Impact in

Papers in

David Magis

67 papers receiving 1.3k citations

Peers

David Magis
Comparison fields: 5 of 152
  • Management Science and Operations Research 516
  • Statistics and Probability 250
  • Experimental and Cognitive Psychology 219
  • Developmental and Educational Psychology 177
  • Computer Networks and Communications 268
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Citations per field
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Citations per year

Countries citing papers authored by David Magis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012236
2 2010204
3 201282
4 201458
5 201747
6 201746
7 200344
8 201442
9 201038
10 201135
11 201134
12 200833
13 201332
14 201127
15 201124
16 201123
17 201122
18 200421
19 201221
20 201419

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 and Educational Psychology, 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), Language Development and Disorders (5 papers) and Neuroscience and Music Perception (4 papers). The work is most often cited by research in Management Science and Operations Research (516 citations), Statistics and Probability (250 citations), Experimental and Cognitive Psychology (219 citations), Developmental and Educational Psychology (177 citations) and Computer Networks and Communications (268 citations). David Magis has collaborated with scholars based in Belgium, France and Canada. Frequent co-authors include Gilles Raîche, Paul De Boeck, Francis Tuerlinckx, Sébastien Béland, Bruno Façon, Jean‐Guy Blais, Theodore A. Walls, Martin Riopel, Juan Ramón Barrada and Alina A. von Davier. Their work appears in journals such as Applied Psychological Measurement, Educational and Psychological Measurement, Psychometrika, Research in Developmental Disabilities 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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