Alina von Davier

605 citations
27 papers · 318 indexed · h-index 10

Alina von Davier

21 papers receiving 288 citations

Peers

Alina von Davier
Comparison fields: 5 of 60
  • Computer Science Applications 88
  • Developmental and Educational Psychology 148
  • Communication 26
  • Health Informatics 5
  • Artificial Intelligence 114
Replace Jessica Andrews‐Todd with:
Jessica Andrews‐Todd United States
Kiyoshi Nakabayashi Japan
Στέργιος Τέγος Greece
Maria Moundridou Greece
Sandra Katz United States
Christina Steiner Austria
Xiao‐Fan Lin China
Dimitra Tsovaltzi Germany
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Citations per field
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Jessica Andrews‐Todd · 1×
Citations per year

Countries citing papers authored by Alina von Davier

Since Specialization
Citations

This map shows the geographic impact of Alina 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 Alina 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 Alina von Davier more than expected).

Fields of papers citing papers by Alina von Davier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202428
3 20241
4 20240
5 202317
6 20232
7 20201
8
Testing for learning: Actionable instructional feedback based on the ACT Test
20180
9 20186
10
mstR: An R package to generate multistage testing designs
20170
11 20172
12 201721
13
Computerized adaptive testing and multistage testing with R
20161
14
Taming Log Files from Game/Simulation-Based Assessments: Data Models and Data Analysis Tools. Research Report. ETS RR-16-10.
20165
15
Collaborative Problem Solving Skills versus Collaboration Outcomes: Findings from Statistical Analysis and Data Mining.
201613
16 201623
17
WORKSHOP: Computational Psychometrics & Data Mining in Assessment: An Introduction
20151
18 201529
19 201535
20 20084

About Alina von Davier

Alina von Davier is a scholar working on Computer Science Applications, Health Informatics and Architecture, having authored 27 papers that have together received 318 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (6 papers), Educational Games and Gamification (4 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Online Learning and Analytics (2 papers), Education and Critical Thinking Development (2 papers), Team Dynamics and Performance (2 papers), Topic Modeling (2 papers) and Multi-Criteria Decision Making (2 papers). The work is most often cited by research in Computer Science Applications (88 citations), Developmental and Educational Psychology (148 citations) and Communication (26 citations). Alina von Davier has collaborated with scholars based in United States, Portugal and China. Frequent co-authors include Jiangang Hao, Patrick C. Kyllonen, Shu Zhan, Robert J. Mislevy, Lei Liu, Michael Flor, Su‐Youn Yoon, Malcolm Bauer, Lawrence L. Smith and Lei Liu. Their work appears in journals such as Educational Measurement Issues and Practice, Journal of Intelligence, Humanities and Social Sciences Communications, Journal of Educational Measurement and Language Testing.

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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