Jochen Ranger

601 total citations
40 papers, 420 citations indexed

About

Jochen Ranger is a scholar working on Management Science and Operations Research, Statistics and Probability and Experimental and Cognitive Psychology. According to data from OpenAlex, Jochen Ranger has authored 40 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Management Science and Operations Research, 19 papers in Statistics and Probability and 13 papers in Experimental and Cognitive Psychology. Recurrent topics in Jochen Ranger's work include Psychometric Methodologies and Testing (19 papers), Optimal Experimental Design Methods (9 papers) and Advanced Statistical Modeling Techniques (8 papers). Jochen Ranger is often cited by papers focused on Psychometric Methodologies and Testing (19 papers), Optimal Experimental Design Methods (9 papers) and Advanced Statistical Modeling Techniques (8 papers). Jochen Ranger collaborates with scholars based in Germany, South Korea and Austria. Jochen Ranger's co-authors include Jörg‐Tobias Kuhn, Tuulia M. Ortner, Matthias Ziegler, Kay Brauer, Anett Wolgast, Nico M. Schmidt, José Luis Gaviria, Steffi Pohl, Markus Pospeschill and B. Gallhofer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Psychometrika.

In The Last Decade

Jochen Ranger

39 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jochen Ranger Germany	12	173	130	103	70	62	40	420
Sébastien Béland Canada	9	186 1.1×	87 0.7×	111 1.1×	58 0.8×	86 1.4×	47	483
Maria Bolsinova Netherlands	12	236 1.4×	173 1.3×	107 1.0×	51 0.7×	74 1.2×	41	492
Esther Ulitzsch Germany	16	209 1.2×	129 1.0×	113 1.1×	57 0.8×	54 0.9×	39	498
Lutz F. Hornke Germany	9	126 0.7×	144 1.1×	42 0.4×	87 1.2×	41 0.7×	29	430
Seang‐Hwane Joo United States	14	202 1.2×	56 0.4×	74 0.7×	35 0.5×	60 1.0×	46	494
Lale Khorramdel United States	14	227 1.3×	94 0.7×	59 0.6×	95 1.4×	96 1.5×	24	435
J. Jack McArdle United States	6	120 0.7×	149 1.1×	90 0.9×	62 0.9×	69 1.1×	10	511
Daniel O. Segall United States	9	210 1.2×	63 0.5×	66 0.6×	63 0.9×	106 1.7×	12	425
Timo Bechger Netherlands	11	144 0.8×	84 0.6×	60 0.6×	17 0.2×	85 1.4×	28	365
Craig S. Wells United States	14	229 1.3×	70 0.5×	100 1.0×	56 0.8×	123 2.0×	41	488

Countries citing papers authored by Jochen Ranger

Since Specialization

Citations

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

Fields of papers citing papers by Jochen Ranger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jochen Ranger

This figure shows the co-authorship network connecting the top 25 collaborators of Jochen Ranger. A scholar is included among the top collaborators of Jochen Ranger 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 Jochen Ranger. Jochen Ranger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Pohl, Steffi, et al.. (2025). Data From a Validation Study of Two Psychometric Models on Test-taking Behavior. PubMed. 13(1). 1–1. 1 indexed citations

Krause, Robert W., et al.. (2024). Modeling the Intraindividual Relation of Ability and Speed within a Test. Journal of Educational Measurement. 61(3). 378–407. 3 indexed citations

Brauer, Kay, Jochen Ranger, & Matthias Ziegler. (2023). Confirmatory Factor Analyses in Psychological Test Adaptation and Development. SHILAP Revista de lepidopterología. 4(1). 4–12. 65 indexed citations

Ranger, Jochen, Christoph König, Benjamin W. Domingue, Jörg‐Tobias Kuhn, & Andreas Frey. (2023). A Multidimensional Partially Compensatory Response Time Model on Basis of the Log-Normal Distribution. Journal of Educational and Behavioral Statistics. 49(3). 431–464.

Ranger, Jochen, Nico M. Schmidt, & Anett Wolgast. (2020). The Detection of Cheating on E-Exams in Higher Education—The Performance of Several Old and Some New Indicators. Frontiers in Psychology. 11. 568825–568825. 29 indexed citations

Wolgast, Anett, Nico M. Schmidt, & Jochen Ranger. (2020). Test-Taking Motivation in Education Students: Task Battery Order Affected Within-Test-Taker Effort and Importance. Frontiers in Psychology. 11. 559683–559683. 9 indexed citations

Ranger, Jochen, et al.. (2020). Analyzing the Fit of IRT Models With the Hausman Test. Frontiers in Psychology. 11. 149–149. 7 indexed citations

Ranger, Jochen, et al.. (2020). Minimum Distance Estimation of Multidimensional Diffusion-Based Item Response Theory Models. Multivariate Behavioral Research. 55(6). 941–957. 1 indexed citations

Kuhn, Jörg‐Tobias, et al.. (2018). A Diffusion Model Analysis of Magnitude Comparison in Children with and without Dyscalculia: Care of Response and Ability Are Related to Both Mathematical Achievement and Stimuli. Frontiers in Psychology. 8. 1615–1615. 5 indexed citations

10.

Ranger, Jochen & Jörg‐Tobias Kuhn. (2018). Estimating Diffusion-Based Item Response Theory Models: Exploring the Robustness of Three Old and Two New Estimators. Journal of Educational and Behavioral Statistics. 43(6). 635–662. 4 indexed citations

11.

Ranger, Jochen, et al.. (2016). Limited information estimation of the diffusion‐based item response theory model for responses and response times. British Journal of Mathematical and Statistical Psychology. 69(2). 122–138. 7 indexed citations

12.

Ranger, Jochen & Jörg‐Tobias Kuhn. (2014). Testing fit of latent trait models for responses and response times in tests. 56(4). 382. 4 indexed citations

13.

Ranger, Jochen, Jörg‐Tobias Kuhn, & José Luis Gaviria. (2014). A Race Model for Responses and Response Times in Tests. Psychometrika. 80(3). 791–810. 13 indexed citations

14.

Ranger, Jochen & Jörg‐Tobias Kuhn. (2014). Assessing Person Fit With the Information Matrix Test. Methodology. 11(1). 3–12. 2 indexed citations

15.

Ranger, Jochen. (2013). Modeling responses and response times in personality tests with rating scales. 55(4). 361. 10 indexed citations

16.

Ranger, Jochen. (2013). A Note on the Hierarchical Model for Responses and Response Times in Tests of van der Linden (2007). Psychometrika. 78(3). 538–544. 17 indexed citations

17.

Ranger, Jochen & Tuulia M. Ortner. (2013). Response Time Modeling Based on the Proportional Hazards Model. Multivariate Behavioral Research. 48(4). 503–533. 10 indexed citations

18.

Ranger, Jochen & Tuulia M. Ortner. (2012). The case of dependency of responses and response times: A modeling approach based on standard latent trait models. 54(2). 128–148. 28 indexed citations

19.

Ranger, Jochen & Tuulia M. Ortner. (2011). A latent trait model for response times on tests employing the proportional hazards model. British Journal of Mathematical and Statistical Psychology. 65(2). 334–349. 20 indexed citations

20.

Ranger, Jochen & Jörg‐Tobias Kuhn. (2011). A flexible latent trait model for response times in tests. Psychometrika. 77(1). 31–47. 31 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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