David Magis

2.0k citations
73 papers · 1.4k indexed · h-index 20
Topics
Psychometric Methodologies and Testing (30 papers)Advanced Statistical Modeling Techniques (18 papers)Advanced Statistical Methods and Models (10 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of Pharmacology and Experimental Therapeutics
Partner nations
BelgiumFranceCanada

In The Last Decade

David Magis

67 papers receiving 1.3k citations

Peers

David Magis
Comparison fields: 5 of 152
  • Management Science and Operations Research 516
  • Computer Networks and Communications 268
  • Statistics and Probability 250
  • Experimental and Cognitive Psychology 219
  • Developmental and Educational Psychology 177
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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-authorship network of co-authors of David Magis

This figure shows the co-authorship network connecting the top 25 collaborators of David Magis. A scholar is included among the top collaborators of David Magis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Magis. David Magis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2
mstR: An R package to generate multistage testing designs
0
3
On the use of ROC curves in DIF simulation studies
1
4
Computerized adaptive testing and multistage testing with R
1
5
Empirical comparison of scoring rules at early stages of CAT
1
6 13
7 15
8
On the finiteness and uniqueness of the weighted likelihood estimator of ability in polytomous IRT models
2
9
Random Generation of Response Patterns under Computerized Adaptive Testing with the R Package catR
6
10
A robust outlier approach to prevent Type I error inflation in DIF
6
11 27
12 34
13 18
14 15
15
Multidimensional item response theory models integrating additional inattention, pseudo-guessing, and discrimination person parameters
1
16 33
17 4
18 3
19 21
20 44

About David Magis

David Magis is a scholar working on Management Science and Operations Research, Statistics and Probability 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) and Advanced Statistical Methods and Models (10 papers). The work is most often cited by research in Management Science and Operations Research (516 citations), Statistics and Probability (250 citations) and Experimental and Cognitive Psychology (219 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 SHILAP Revista de lepidopterología, PLoS ONE and Journal of Pharmacology and Experimental Therapeutics.

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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