Timo Bechger

563 citations
28 papers · 365 · h-index 11

Impact in

Papers in

Timo Bechger

26 papers receiving 315 citations

Peers

Timo Bechger
Comparison fields: 5 of 86
  • Management Science and Operations Research 144
  • Statistics and Probability 60
  • Experimental and Cognitive Psychology 84
  • Computer Networks and Communications 85
  • Developmental and Educational Psychology 35
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Citations per field
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Citations per year

Countries citing papers authored by Timo Bechger

Since Specialization
Citations

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

Fields of papers citing papers by Timo Bechger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timo Bechger. 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 Timo Bechger. The network helps show where Timo Bechger may publish in the future.

Co-authors

The 23 scholars most cited alongside Timo Bechger, 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 Timo Bechger Line = papers co-authored together Timo Bechger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200364
2 201545
3 201445
4 201021
5 199920
6 200918
7 200218
8 199917
9 201512
10 200111
11 200411
12 199810
13 200910
14 20029
15
Over het gebruik van continue normering
20097
16
Structural Equation Modelling of Multiple Facet Data: Extending Models for Multitrait-Multimethod Data
20047
17 20206
18
Structural Equation Modelling ofMultiple Facet Data: Extending Modelsfor Multitrait-Multimethod Data
20045
19
Modeling Person-Specific Development of Math Skills in Continuous Time: New Evidence for Mutualism.
20195
20 19985

About Timo Bechger

Timo Bechger is a scholar working on Management Science and Operations Research, Education, Statistics and Probability, Artificial Intelligence and Computer Networks and Communications, having authored 28 papers that have together received 365 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (8 papers), Statistical Methods and Bayesian Inference (3 papers), Advanced Statistical Modeling Techniques (3 papers), Student Assessment and Feedback (3 papers), Online Learning and Analytics (2 papers), Evaluation and Performance Assessment (2 papers), Advanced Statistical Methods and Models (2 papers) and Educational Technology and Assessment (2 papers). The work is most often cited by research in Management Science and Operations Research (144 citations), Statistics and Probability (60 citations), Experimental and Cognitive Psychology (84 citations), Computer Networks and Communications (85 citations) and Developmental and Educational Psychology (35 citations). Timo Bechger has collaborated with scholars based in Netherlands, Spain and Slovakia. Frequent co-authors include Gunter Maris, Anton A. Béguin, Maarten Marsman, Cees A. W. Glas, Norman D. Verhelst, Peter C. M. Molenaar, Kees de Glopper, Conor V. Dolan, Joop J. Hox and Ernesto San Martı́n. Their work appears in journals such as Psychometrika, Structural Equation Modeling A Multidisciplinary Journal, Applied Psychological Measurement, Frontiers in Psychology and Behavior Genetics.

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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