Timo Bechger

570 citations
28 papers · 368 · h-index 12

Impact in

Papers in

Timo Bechger

26 papers receiving 320 citations

Peers

Timo Bechger
Comparison fields: 5 of 80
  • Management Science and Operations Research 144
  • Statistics and Probability 60
  • Experimental and Cognitive Psychology 80
  • Computer Networks and Communications 85
  • Developmental and Educational Psychology 34
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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 200365
2 201445
3 201545
4 201022
5 199920
6 200218
7 200918
8 199917
9 201512
10 200111
11 200911
12 200411
13 199810
14 20029
15
Structural Equation Modelling of Multiple Facet Data: Extending Models for Multitrait-Multimethod Data
20047
16
Over het gebruik van continue normering
20097
17 20206
18
Modeling Person-Specific Development of Math Skills in Continuous Time: New Evidence for Mutualism.
20195
19
Structural Equation Modelling ofMultiple Facet Data: Extending Modelsfor Multitrait-Multimethod Data
20045
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 368 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (8 papers), Statistical Methods and Bayesian Inference (3 papers), Student Assessment and Feedback (3 papers), Advanced Statistical Modeling Techniques (3 papers), Global Educational Policies and Reforms (2 papers), Evaluation and Performance Assessment (2 papers), Statistical Methods and Inference (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 (80 citations), Computer Networks and Communications (85 citations) and Developmental and Educational Psychology (34 citations). Timo Bechger has collaborated with scholars based in Netherlands, United States and Slovakia. Frequent co-authors include Gunter Maris, Anton A. Béguin, Maarten Marsman, Cees A. W. Glas, Norman D. Verhelst, Kees de Glopper, Joop J. Hox, Conor V. Dolan, Peter C. M. Molenaar and Ernesto San Martı́n. Their work appears in journals such as Psychometrika, Structural Equation Modeling A Multidisciplinary Journal, Frontiers in Psychology, Applied Psychological Measurement and Journal of Educational Measurement.

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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