Christof Schuster

1.5k total citations
34 papers, 783 citations indexed

About

Christof Schuster is a scholar working on Management Science and Operations Research, Statistics and Probability and Statistics, Probability and Uncertainty. According to data from OpenAlex, Christof Schuster has authored 34 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Science and Operations Research, 13 papers in Statistics and Probability and 9 papers in Statistics, Probability and Uncertainty. Recurrent topics in Christof Schuster's work include Reliability and Agreement in Measurement (9 papers), Psychometric Methodologies and Testing (7 papers) and Advanced Statistical Modeling Techniques (5 papers). Christof Schuster is often cited by papers focused on Reliability and Agreement in Measurement (9 papers), Psychometric Methodologies and Testing (7 papers) and Advanced Statistical Modeling Techniques (5 papers). Christof Schuster collaborates with scholars based in United States and Germany. Christof Schuster's co-authors include Jürgen Bortz, Alexander von Eye, Ke‐Hai Yuan, David A. Smith, David A. Smith, Kenzie L. Preston, Kenneth Silverman, Edward J. Cone, Patrick M. O’Malley and Jerald G. Bachman and has published in prestigious journals such as Journal of the American Statistical Association, Life Sciences and Fertility and Sterility.

In The Last Decade

Christof Schuster

33 papers receiving 731 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christof Schuster United States 13 133 131 110 92 82 34 783
Gwowen Shieh Taiwan 22 321 2.4× 103 0.8× 94 0.9× 143 1.6× 58 0.7× 77 1.4k
Richard M. Smith United States 18 97 0.7× 74 0.6× 306 2.8× 106 1.2× 171 2.1× 41 1.1k
Sumwai Wong New Zealand 6 91 0.7× 58 0.4× 36 0.3× 78 0.8× 40 0.5× 6 1.1k
Laura A. McSweeney United States 5 72 0.5× 132 1.0× 41 0.4× 66 0.7× 111 1.4× 10 755
Sonja D. Winter United States 11 177 1.3× 43 0.3× 106 1.0× 118 1.3× 49 0.6× 28 975
David J. Woodruff United States 9 121 0.9× 65 0.5× 132 1.2× 71 0.8× 78 1.0× 19 612
Miguel A. Padilla United States 17 78 0.6× 41 0.3× 59 0.5× 139 1.5× 25 0.3× 38 803
Mariëlle Zondervan‐Zwijnenburg Netherlands 13 161 1.2× 48 0.4× 109 1.0× 143 1.6× 77 0.9× 23 796
George Karabatsos United States 15 253 1.9× 55 0.4× 291 2.6× 87 0.9× 85 1.0× 54 1.6k
Klaus D. Kubinger Austria 14 97 0.7× 25 0.2× 199 1.8× 75 0.8× 114 1.4× 63 797

Countries citing papers authored by Christof Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Christof Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christof Schuster

This figure shows the co-authorship network connecting the top 25 collaborators of Christof Schuster. A scholar is included among the top collaborators of Christof Schuster 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 Christof Schuster. Christof Schuster 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.
Schuster, Christof, et al.. (2019). A note on residual M‐distances for identifying aberrant response patterns. British Journal of Mathematical and Statistical Psychology. 73(1). 164–169. 2 indexed citations
2.
Schuster, Christof, et al.. (2018). A Graded Response Model Framework for Questionnaires With Uniform Response Formats. Applied Psychological Measurement. 43(4). 290–302. 17 indexed citations
3.
Schuster, Christof, et al.. (2017). The Graded Response Differential Discrimination Model Accounting for Extreme Response Style. Multivariate Behavioral Research. 52(5). 616–629. 4 indexed citations
4.
Schuster, Christof, et al.. (2016). Consistent Differential Discrimination Model Estimation. Multivariate Behavioral Research. 51(4). 581–587. 2 indexed citations
5.
Yuan, Ke‐Hai & Christof Schuster. (2013). Overview of Statistical Estimation Methods. Oxford University Press eBooks. 10 indexed citations
6.
Schuster, Christof & David A. Smith. (2006). Estimating with a Latent Class Model the Reliability of Nominal Judgments Upon Which Two Raters Agree. Educational and Psychological Measurement. 66(5). 739–747. 4 indexed citations
7.
Silverberg, Kaylen M., et al.. (2005). Choosing the Optimal Incubator Environment for Day 3 Culture: Triple Gas vs. 5% CO2 in Air, A Prospective, Randomized Trial. Fertility and Sterility. 84. S88–S88. 2 indexed citations
8.
Schuster, Christof. (2004). A Note on the Interpretation of Weighted Kappa and its Relations to Other Rater Agreement Statistics for Metric Scales. Educational and Psychological Measurement. 64(2). 243–253. 96 indexed citations
9.
Schuster, Christof. (2004). Measures of Interobserver Agreement. Journal of the American Statistical Association. 99(468). 1204–1205. 2 indexed citations
10.
Schuster, Christof. (2002). A mixture model approach to indexing rater agreement. British Journal of Mathematical and Statistical Psychology. 55(2). 289–303. 17 indexed citations
11.
Schuster, Christof & David A. Smith. (2002). Indexing systematic rater agreement with a latent-class model.. Psychological Methods. 7(3). 384–395. 24 indexed citations
12.
Eye, Alexander von & Christof Schuster. (2002). Log-Linear Models for Change in Manifest Categorical Variables. Applied Developmental Science. 6(1). 12–23. 1 indexed citations
13.
Schuster, Christof & Alexander von Eye. (2001). Models for Ordinal Agreement Data. Biometrical Journal. 43(7). 795–808. 10 indexed citations
14.
Eye, Alexander von, Christof Schuster, & Kurt Kreppner. (2001). Sampling Schemes and the Selection of Log-Linear Models for Longitudinal Data. Journal of Adolescent Research. 16(2). 221–234. 1 indexed citations
15.
Schuster, Christof, Patrick M. O’Malley, Jerald G. Bachman, Lloyd D. Johnston, & John E. Schulenberg. (2001). ADOLESCENT MARIJUANA USE AND ADULT OCCUPATIONAL ATTAINMENT: A LONGITUDINAL STUDY FROM AGE 18 TO 28. Substance Use & Misuse. 36(8). 997–1014. 35 indexed citations
16.
Neubert, Reinhard, Isabella Fernandes Delgado, Klaus Abraham, Christof Schuster, & H Helge. (1998). Evaluation of the age-dependent development of lymphocyte surface receptors in children. Life Sciences. 62(12). 1099–1110. 26 indexed citations
17.
Preston, Kenzie L., Kenneth Silverman, Christof Schuster, & Edward J. Cone. (1997). Comparison of self-reported drug use with quantitative and qualitative urinalysis for assessment of drug use in treatment studies.. PubMed. 167. 130–45. 39 indexed citations
19.
Heilmann, P., et al.. (1995). Decidua and placenta in mice after treatment with a synthetic glucocorticoid. Reproduction Fertility and Development. 7(6). 1551–1555. 3 indexed citations
20.
Schuster, Christof. (1989). Testing and Abuse Liability of Drugs in Humans. PsycEXTRA Dataset. 92. 1–6. 7 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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