Tobias Koch

1.7k total citations
56 papers, 1.1k citations indexed

About

Tobias Koch is a scholar working on Experimental and Cognitive Psychology, Management Science and Operations Research and Social Psychology. According to data from OpenAlex, Tobias Koch has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Experimental and Cognitive Psychology, 17 papers in Management Science and Operations Research and 14 papers in Social Psychology. Recurrent topics in Tobias Koch's work include Mental Health Research Topics (17 papers), Psychometric Methodologies and Testing (15 papers) and Advanced Statistical Modeling Techniques (12 papers). Tobias Koch is often cited by papers focused on Mental Health Research Topics (17 papers), Psychometric Methodologies and Testing (15 papers) and Advanced Statistical Modeling Techniques (12 papers). Tobias Koch collaborates with scholars based in Germany, United States and France. Tobias Koch's co-authors include Michael Eid, Christian Geiser, Moritz Heene, Jana Holtmann, Stefan Krumm, Julian Schulze, Pierre Tulowitzki, Marcus Pietsch, Martin Schultze and Maike Luhmann and has published in prestigious journals such as Journal of Personality and Social Psychology, SHILAP Revista de lepidopterología and Journal of Consulting and Clinical Psychology.

In The Last Decade

Tobias Koch

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tobias Koch Germany 17 403 317 309 197 180 56 1.1k
Ji Seung Yang United States 12 272 0.7× 565 1.8× 284 0.9× 227 1.2× 179 1.0× 37 1.1k
Dena A. Pastor United States 13 324 0.8× 374 1.2× 312 1.0× 332 1.7× 172 1.0× 28 1.2k
Wes Bonifay United States 11 568 1.4× 350 1.1× 718 2.3× 124 0.6× 156 0.9× 30 1.5k
Tao Xin China 18 238 0.6× 201 0.6× 199 0.6× 247 1.3× 212 1.2× 80 1.0k
Mark H. C. Lai United States 20 311 0.8× 353 1.1× 363 1.2× 211 1.1× 87 0.5× 80 1.4k
William M. van der Veld Netherlands 13 202 0.5× 328 1.0× 417 1.3× 100 0.5× 116 0.6× 30 1.2k
David Gallardo‐Pujol Spain 18 284 0.7× 446 1.4× 747 2.4× 116 0.6× 130 0.7× 48 1.7k
Steffen Zitzmann Germany 17 335 0.8× 217 0.7× 81 0.3× 220 1.1× 168 0.9× 72 954
Miguel A. Sorrel Spain 17 141 0.3× 254 0.8× 155 0.5× 99 0.5× 160 0.9× 51 857
Michalis P. Michaelides Cyprus 19 214 0.5× 236 0.7× 296 1.0× 318 1.6× 106 0.6× 74 1.0k

Countries citing papers authored by Tobias Koch

Since Specialization
Citations

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

Fields of papers citing papers by Tobias Koch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tobias Koch

This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Koch. A scholar is included among the top collaborators of Tobias Koch 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 Tobias Koch. Tobias Koch 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
1.
Koch, Tobias, et al.. (2025). Theory Crises in Psychology – What Can We Learn From Structuralism?. Zeitschrift für Psychologie. 233(4). 240–250. 1 indexed citations
2.
Koch, Tobias & Michael Eid. (2024). Augmented Bifactor Models and Bifactor-(S-1) Models are Identical. A Comment on Zhang, Luo, Zhang, Sun & Zhang (2023). Structural Equation Modeling A Multidisciplinary Journal. 31(5). 794–801. 2 indexed citations
3.
Koch, Tobias, et al.. (2024). Assessing Heterogeneity of Correlation Matrices in Misspecified Meta-Analytic Structural Equation Models. Structural Equation Modeling A Multidisciplinary Journal. 32(2). 187–199. 1 indexed citations
4.
Schmidt, Barbara, et al.. (2024). Post-hypnotic suggestion improves confidence and speed of memory access with long-lasting effects. Acta Psychologica. 245. 104240–104240. 3 indexed citations
5.
Koch, Tobias, et al.. (2023). A General Theorem and Proof for the Identification of Composed CFA Models. Psychometrika. 88(4). 1334–1353. 2 indexed citations
6.
7.
Bohn, Manuel, et al.. (2023). oREV: An item response theory-based open receptive vocabulary task for 3- to 8-year-old children. Behavior Research Methods. 56(3). 2595–2605. 4 indexed citations
8.
Brandmaier, Andreas M., et al.. (2022). On the Performance of Different Regularization Methods in Bifactor-(S-1) Models with Explanatory Variables—Caveats, Recommendations, and Future Directions. Structural Equation Modeling A Multidisciplinary Journal. 30(4). 560–573. 2 indexed citations
9.
Bardid, Farid, Tobias Koch, George B. Ploubidis, et al.. (2022). Is Motor Milestone Assessment in Infancy Valid and Scaled Equally Across Sex, Birth Weight, and Gestational Age? Findings From the Millennium Cohort Study. Frontiers in Psychology. 12. 781602–781602. 1 indexed citations
10.
Holtmann, Jana, et al.. (2022). Consistency and Specificity of Attachments to Parents, Friends, and Romantic Partners in Emerging Adulthood. Emerging Adulthood. 11(1). 58–73. 4 indexed citations
11.
Devaraj, Ajit, et al.. (2021). Short-Term Forecasting of Air Cargo Demand from a European Airport Hub to the United States during COVID-19. Data Archiving and Networked Services (DANS). 1 indexed citations
12.
Gumz, Antje, et al.. (2020). Die „Facilitative interpersonal skills“-Übung – Messen therapeutischer Kompetenz mit der deutschsprachigen Version. Psychotherapeut. 65(6). 465–474. 14 indexed citations
13.
14.
Koch, Tobias, et al.. (2017). Explaining general and specific factors in longitudinal, multimethod, and bifactor models: Some caveats and recommendations.. Psychological Methods. 23(3). 505–523. 41 indexed citations
15.
Salisch, Maria von, Susanne A. Denham, & Tobias Koch. (2016). Emotion Knowledge and Attention Problems in Young Children: a Cross-Lagged Panel Study on the Direction of Effects. Journal of Abnormal Child Psychology. 45(1). 45–56. 20 indexed citations
16.
Eid, Michael, Christian Geiser, Tobias Koch, & Moritz Heene. (2016). Anomalous results in G-factor models: Explanations and alternatives.. Psychological Methods. 22(3). 541–562. 288 indexed citations
17.
Koch, Tobias & Martin Schultze. (2016). A Review of Latent Variable Modeling Using R—A Step-by-Step-Guide. Journal of Educational and Behavioral Statistics. 41(3). 349–354. 1 indexed citations
18.
Holtmann, Jana, et al.. (2016). A Comparison of ML, WLSMV, and Bayesian Methods for Multilevel Structural Equation Models in Small Samples: A Simulation Study. Multivariate Behavioral Research. 51(5). 661–680. 78 indexed citations
19.
Schultze, Martin, Tobias Koch, & Michael Eid. (2015). The Effects of Nonindependent Rater Sets in Multilevel–Multitrait–Multimethod Models. Structural Equation Modeling A Multidisciplinary Journal. 22(3). 439–448. 5 indexed citations
20.
Schultze, Martin, et al.. (2015). A Multilevel CFA–MTMM Approach for Multisource Feedback Instruments: Presentation and Application of a New Statistical Model. Structural Equation Modeling A Multidisciplinary Journal. 23(1). 91–110. 12 indexed citations

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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