Claus H. Carstensen

2.0k total citations
53 papers, 1.1k citations indexed

About

Claus H. Carstensen is a scholar working on Education, Management Science and Operations Research and Sociology and Political Science. According to data from OpenAlex, Claus H. Carstensen has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Education, 18 papers in Management Science and Operations Research and 11 papers in Sociology and Political Science. Recurrent topics in Claus H. Carstensen's work include Psychometric Methodologies and Testing (16 papers), School Choice and Performance (8 papers) and Education Methods and Technologies (7 papers). Claus H. Carstensen is often cited by papers focused on Psychometric Methodologies and Testing (16 papers), School Choice and Performance (8 papers) and Education Methods and Technologies (7 papers). Claus H. Carstensen collaborates with scholars based in Germany, United States and Austria. Claus H. Carstensen's co-authors include Matthias von Davier, Eunike Wetzel, Steffi Pohl, Jürgen Rost, Martin Senkbeil, Jan R. Böhnke, Barbara Drechsel, Manfred Prenzel, Timo Ehmke and Hendrik Jürges and has published in prestigious journals such as Frontiers in Psychology, Sustainability and Journal of Research in Science Teaching.

In The Last Decade

Claus H. Carstensen

51 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claus H. Carstensen Germany 20 393 342 213 189 167 53 1.1k
Joseph A. Rios United States 19 590 1.5× 303 0.9× 224 1.1× 123 0.7× 93 0.6× 49 1.4k
Margaret Wu Australia 13 600 1.5× 215 0.6× 147 0.7× 135 0.7× 128 0.8× 29 1.1k
Howard T. Everson United States 17 567 1.4× 391 1.1× 357 1.7× 158 0.8× 143 0.9× 52 1.6k
Kadriye Ercikan Canada 24 857 2.2× 487 1.4× 198 0.9× 320 1.7× 104 0.6× 65 1.6k
John Mazzeo United States 16 624 1.6× 325 1.0× 126 0.6× 151 0.8× 114 0.7× 52 1.3k
Marie Wiberg Sweden 16 201 0.5× 259 0.8× 310 1.5× 69 0.4× 227 1.4× 85 1.0k
Steffen Zitzmann Germany 17 220 0.6× 168 0.5× 335 1.6× 122 0.6× 236 1.4× 72 954
James Soland United States 18 794 2.0× 211 0.6× 190 0.9× 184 1.0× 116 0.7× 64 1.5k
Stephen B. Dunbar United States 15 826 2.1× 329 1.0× 131 0.6× 79 0.4× 117 0.7× 36 1.5k
Gregory J. Cizek United States 22 1.1k 2.7× 353 1.0× 130 0.6× 109 0.6× 95 0.6× 81 1.9k

Countries citing papers authored by Claus H. Carstensen

Since Specialization
Citations

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

Fields of papers citing papers by Claus H. Carstensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claus H. Carstensen. 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 Claus H. Carstensen. The network helps show where Claus H. Carstensen may publish in the future.

Co-authorship network of co-authors of Claus H. Carstensen

This figure shows the co-authorship network connecting the top 25 collaborators of Claus H. Carstensen. A scholar is included among the top collaborators of Claus H. Carstensen 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 Claus H. Carstensen. Claus H. Carstensen 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.
Gnambs, Timo, et al.. (2023). Identifying Disengaged Responding in Multiple-Choice Items: Extending a Latent Class Item Response Model With Novel Process Data Indicators. Educational and Psychological Measurement. 84(2). 314–339. 5 indexed citations
2.
Carstensen, Claus H., et al.. (2021). The achievement gap in reading competence: the effect of measurement non-invariance across school types. Large-scale Assessments in Education. 9(1). 5 indexed citations
3.
Carstensen, Claus H., et al.. (2021). Linking of Rasch-Scaled Tests: Consequences of Limited Item Pools and Model Misfit. Frontiers in Psychology. 12. 633896–633896. 11 indexed citations
4.
Barkmann, Jan, et al.. (2020). Quantitative Modelling and Perspective Taking: Two Competencies of Decision Making for Sustainable Development. Sustainability. 12(17). 6980–6980. 6 indexed citations
5.
Wu, Yi-Jhen, Claus H. Carstensen, & Jihyun Lee. (2019). A new perspective on memorization practices among East Asian students based on PISA 2012. Educational Psychology. 40(5). 643–662. 8 indexed citations
6.
Rammstedt, Beatrice, et al.. (2017). The PIAAC longitudinal study in Germany: rationale and design. Large-scale Assessments in Education. 5(1). 18 indexed citations
7.
Pohl, Steffi, et al.. (2016). Incorporating Different Response Formats of Competence Tests in an IRT Model. 58(2). 223. 5 indexed citations
8.
9.
Carstensen, Claus H., et al.. (2015). Befragung von Schülerinnen und Schülern mit sonderpädagogischem Förderbedarf Lernen: Ergebnisse zur Messinvarianz. peDOCS. 7(2). 99–116. 2 indexed citations
10.
Wetzel, Eunike & Claus H. Carstensen. (2014). Reversed Thresholds in Partial Credit Models. Assessment. 21(6). 765–774. 40 indexed citations
11.
Wetzel, Eunike & Claus H. Carstensen. (2013). Linking PISA 2000 and PISA 2009: Implications of Instrument Design on Measurement Invariance. 55(2). 181. 6 indexed citations
12.
Wetzel, Eunike, Jan R. Böhnke, Claus H. Carstensen, Matthias Ziegler, & Fritz Ostendorf. (2013). Do Individual Response Styles Matter?. Journal of Individual Differences. 34(2). 69–81. 31 indexed citations
13.
Steffensky, Mirjam, et al.. (2012). Alltagssituationen und Experimente: Was sind geeignete naturwissenschaftliche Lerngelegenheiten für Kindergartenkinder?. Zeitschrift für Erziehungswissenschaft. 15(1). 37–54. 10 indexed citations
14.
Carstensen, Claus H., Eva-Maria Lankes, & Mirjam Steffensky. (2011). Ein Modell zur Erfassung naturwissenschaftlicher Kompetenz im Kindergarten. Zeitschrift für Erziehungswissenschaft. 14(4). 651–669. 5 indexed citations
15.
Frey, Andreas & Claus H. Carstensen. (2009). Diagnostic Classification Models and Multidimensional Adaptive Testing: A Commentary on Rupp and Templin. Measurement Interdisciplinary Research and Perspectives. 7(1). 58–61. 2 indexed citations
16.
Davier, Matthias von, Xueli Xu, & Claus H. Carstensen. (2009). Using the General Diagnostic Model to Measure Learning and Change in a Longitudinal Large-Scale Assessment. Research Report. ETS RR-09-28.. 6 indexed citations
17.
Davier, Alina A. von, Claus H. Carstensen, & Matthias von Davier. (2006). Linking Competencies in Educational Settings and Measuring Growth. Research Report. ETS RR-06-12.. ETS Research Report Series. 1 indexed citations
18.
Baumert, Jürgen, et al.. (2005). Wirtschaftliche, soziale und kulturelle Lebensverhältnisse und regionale Disparitäten des Kompetenzerwerbs. Max Planck Institute for Plasma Physics. 323–365. 8 indexed citations
19.
Prenzel, Manfred, et al.. (2005). Wie schneiden SINUS-Schulen bei PISA ab?. Zeitschrift für Erziehungswissenschaft. 8(4). 540–562. 17 indexed citations
20.
Rost, Jürgen & Claus H. Carstensen. (2002). Multidimensional Rasch Measurement via Item Component Models and Faceted Designs. Applied Psychological Measurement. 26(1). 42–56. 40 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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2026