Matthias von Davier

6.8k citations
135 papers · 3.8k indexed · h-index 32

Matthias von Davier

127 papers receiving 3.5k citations

Peers

Matthias von Davier
Comparison fields: 5 of 132
  • Management Science and Operations Research 1.7k
  • Statistics and Probability 869
  • Experimental and Cognitive Psychology 650
  • Computer Networks and Communications 821
  • Computer Science Applications 191
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Mark D. Reckase United States
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Citations per field
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Citations per year

Countries citing papers authored by Matthias von Davier

Since Specialization
Citations

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

Fields of papers citing papers by Matthias von Davier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthias von Davier. 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 Matthias von Davier. The network helps show where Matthias von Davier may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20247
4 202145
5 201941
6 20161
7 20166
8 201646
9 20141
10
The Log-Linear Cognitive Diagnostic Model (LCDM) as a Special Case of The General Diagnostic Model (GDM). Research Report. ETS RR-14-40.
20144
11
From Biology to Education: Scoring and Clustering Multilingual Text Sequences and Other Sequential. Research Report. ETS RR-12-25.
20122
12
Equivalency of the DINA Model and a Constrained General Diagnostic Model. Research Report. ETS RR-11-37.
20117
13
Modeling Nonignorable Missing Data with Item Response Theory (IRT). Research Report. ETS RR-10-11.
201020
14 200921
15
Linking for the General Diagnostic Model. Research Report. ETS RR-08-08.
20084
16
Fitting the Structured General Diagnostic Model to NAEP Data. Research Report. ETS RR-08-27.
200814
17
Hierarchical General Diagnostic Models. Research Report. ETS RR-07-19.
200715
18
Mixture Distribution Diagnostic Models. Research Report. ETS RR-07-32.
20075
19
Reporting Test Outcomes Using Models for Cognitive Diagnosis. Research Report. ETS RR-06-28.
20069
20
Linking Competencies in Educational Settings and Measuring Growth. Research Report. ETS RR-06-12.
20061

About Matthias von Davier

Matthias von Davier is a scholar working on Management Science and Operations Research, Statistics and Probability and Computer Networks and Communications, having authored 135 papers that have together received 3.8k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (62 papers), Advanced Statistical Modeling Techniques (32 papers), Statistical Methods and Bayesian Inference (26 papers), Advanced Statistical Methods and Models (10 papers), School Choice and Performance (8 papers), Online Learning and Analytics (6 papers), Statistical Distribution Estimation and Applications (6 papers) and Advanced Causal Inference Techniques (6 papers). The work is most often cited by research in Management Science and Operations Research (1.7k citations), Statistics and Probability (869 citations) and Experimental and Cognitive Psychology (650 citations). Matthias von Davier has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Xueli Xu, Claus H. Carstensen, Eugenio González, Leslie Rutkowski, Lale Khorramdel, Benjamin Nagengast, Steffi Pohl, Esther Ulitzsch, Kentaro Yamamoto and Alexandre J. S. Morin. Their work appears in journals such as Science, Computers & Education and Frontiers in Psychology.

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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