Steffi Pohl

1.5k total citations
53 papers, 965 citations indexed

About

Steffi Pohl is a scholar working on Management Science and Operations Research, Statistics and Probability and Experimental and Cognitive Psychology. According to data from OpenAlex, Steffi Pohl has authored 53 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Management Science and Operations Research, 21 papers in Statistics and Probability and 13 papers in Experimental and Cognitive Psychology. Recurrent topics in Steffi Pohl's work include Psychometric Methodologies and Testing (23 papers), Statistical Methods and Bayesian Inference (15 papers) and Advanced Causal Inference Techniques (14 papers). Steffi Pohl is often cited by papers focused on Psychometric Methodologies and Testing (23 papers), Statistical Methods and Bayesian Inference (15 papers) and Advanced Causal Inference Techniques (14 papers). Steffi Pohl collaborates with scholars based in Germany, United States and United Kingdom. Steffi Pohl's co-authors include Esther Ulitzsch, Matthias von Davier, Claus H. Carstensen, Rolf Steyer, Peter M. Steiner, Norman Rose, Thomas D. Cook, Carmen Köhler, Tenko Raykov and Stéphane Vautier and has published in prestigious journals such as Science, Journal of Consulting and Clinical Psychology and Frontiers in Psychology.

In The Last Decade

Steffi Pohl

47 papers receiving 927 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steffi Pohl Germany 18 393 290 225 205 139 53 965
Sun‐Joo Cho United States 19 331 0.8× 288 1.0× 177 0.8× 189 0.9× 117 0.8× 75 1.1k
Claus H. Carstensen Germany 20 342 0.9× 167 0.6× 213 0.9× 393 1.9× 189 1.4× 53 1.1k
Marie Wiberg Sweden 16 259 0.7× 227 0.8× 310 1.4× 201 1.0× 69 0.5× 85 1.0k
Jorge N. Tendeiro Netherlands 18 235 0.6× 180 0.6× 132 0.6× 104 0.5× 145 1.0× 63 978
Steffen Zitzmann Germany 17 168 0.4× 236 0.8× 335 1.5× 220 1.1× 122 0.9× 72 954
Tao Xin China 18 212 0.5× 123 0.4× 238 1.1× 247 1.2× 194 1.4× 80 1.0k
John R. Donoghue United States 14 529 1.3× 207 0.7× 161 0.7× 129 0.6× 100 0.7× 50 994
Insu Paek United States 15 261 0.7× 122 0.4× 127 0.6× 148 0.7× 49 0.4× 51 654
Yanyan Sheng United States 16 183 0.5× 215 0.7× 95 0.4× 146 0.7× 116 0.8× 55 820
Barbara G. Dodd United States 18 493 1.3× 130 0.4× 137 0.6× 152 0.7× 67 0.5× 60 900

Countries citing papers authored by Steffi Pohl

Since Specialization
Citations

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

Fields of papers citing papers by Steffi Pohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steffi Pohl

This figure shows the co-authorship network connecting the top 25 collaborators of Steffi Pohl. A scholar is included among the top collaborators of Steffi Pohl 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 Steffi Pohl. Steffi Pohl 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
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Twardawski, Mathias, et al.. (2025). The Design of Current Replication Studies: A Systematic Literature Review on the Variation of Study Characteristics. Advances in Methods and Practices in Psychological Science. 8(2).
3.
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
4.
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
5.
Domingue, Benjamin W., Radhika Kapoor, Steffi Pohl, et al.. (2024). The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items. Psychometrika. 89(3). 1034–1054. 2 indexed citations
6.
Calvano, Claudia, et al.. (2024). Parental Mental Health and Child Maltreatment in the COVID-19 Pandemic: Importance of Sampling in a Quantitative Statistical Study. Journal of Medical Internet Research. 27. e52043–e52043. 1 indexed citations
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Ulitzsch, Esther, Steffi Pohl, Lale Khorramdel, Ulf Kroehne, & Matthias von Davier. (2021). A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data. Psychometrika. 87(2). 593–619. 45 indexed citations
10.
Ulitzsch, Esther, Qiwei He, Hendrik Molter, et al.. (2021). Combining Clickstream Analyses and Graph-Modeled Data Clustering for Identifying Common Response Processes. Psychometrika. 86(1). 190–214. 30 indexed citations
11.
Pohl, Steffi, et al.. (2019). Compensation and Amplification of Attenuation Bias in Causal Effect Estimates. Psychometrika. 84(2). 589–610. 7 indexed citations
12.
Tijmstra, Jesper, et al.. (2019). Psychometric Modelling of Longitudinal Genetically Informative Twin Data. Frontiers in Genetics. 10. 837–837. 4 indexed citations
13.
Pohl, Steffi, Esther Ulitzsch, & Matthias von Davier. (2019). Using Response Times to Model Not-Reached Items due to Time Limits. Psychometrika. 84(3). 892–920. 28 indexed citations
14.
Steiner, Peter M., et al.. (2018). When does measurement error in covariates impact causal effect estimates? Analytic derivations of different scenarios and an empirical illustration. British Journal of Mathematical and Statistical Psychology. 72(2). 244–270. 14 indexed citations
15.
Pohl, Steffi, et al.. (2016). Incorporating Different Response Formats of Competence Tests in an IRT Model. 58(2). 223. 5 indexed citations
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Lockl, Kathrin, et al.. (2014). Metacognitive knowledge in children at early elementary school. Metacognition and Learning. 9(3). 239–263. 10 indexed citations
18.
Pohl, Steffi, et al.. (2013). Dealing With Omitted and Not-Reached Items in Competence Tests. Educational and Psychological Measurement. 74(3). 423–452. 87 indexed citations
19.
Cook, Thomas D., Steffi Pohl, & Peter M. Steiner. (2011). Die relative Bedeutung der Kovariatenwahl, Reliabilität und Art der Datenanalyse zur Schätzung kausaler Effekte aus Beobachtungsdaten. 10(2). 203–224.
20.
Jordan, Arianne Brown, et al.. (2011). Eimeria tenella oocyst shedding and output in cecal or fecal contents following experimental challenge in broilers. Poultry Science. 90(5). 990–995. 17 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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