Peter M. Steiner

4.2k total citations · 1 hit paper
71 papers, 2.7k citations indexed

About

Peter M. Steiner is a scholar working on Statistics and Probability, Education and Sociology and Political Science. According to data from OpenAlex, Peter M. Steiner has authored 71 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistics and Probability, 14 papers in Education and 12 papers in Sociology and Political Science. Recurrent topics in Peter M. Steiner's work include Advanced Causal Inference Techniques (39 papers), Statistical Methods and Bayesian Inference (19 papers) and Statistical Methods in Clinical Trials (15 papers). Peter M. Steiner is often cited by papers focused on Advanced Causal Inference Techniques (39 papers), Statistical Methods and Bayesian Inference (19 papers) and Statistical Methods in Clinical Trials (15 papers). Peter M. Steiner collaborates with scholars based in United States, Austria and Germany. Peter M. Steiner's co-authors include Christiane Atzmüller, William R. Shadish, M. H. Clark, Thomas D. Cook, Yongnam Kim, Vivian C. Wong, Thomas D. Cook, Steffi Pohl, David Cook and Kristynn J. Sullivan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Psychological Methods.

In The Last Decade

Peter M. Steiner

63 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Experimental Vignette Studies in Survey Research

2010 611 citations Peter M. Steiner et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter M. Steiner United States	25	778	660	588	386	240	71	2.7k
Stephen L. Morgan United States	18	646 0.8×	1.5k 2.2×	851 1.4×	631 1.6×	205 0.9×	39	3.7k
Walter L. Leite United States	26	280 0.4×	373 0.6×	575 1.0×	170 0.4×	363 1.5×	109	2.5k
E. C. Hedberg United States	21	337 0.4×	628 1.0×	487 0.8×	106 0.3×	147 0.6×	47	1.8k
Felix Thoemmes United States	22	426 0.5×	509 0.8×	311 0.5×	162 0.4×	536 2.2×	49	2.5k
Howard S. Bloom United States	33	1.1k 1.4×	719 1.1×	2.1k 3.6×	786 2.0×	188 0.8×	86	4.6k
Carolyn J. Hill United States	18	322 0.4×	253 0.4×	933 1.6×	190 0.5×	87 0.4×	34	1.9k
Anne Boomsma Netherlands	20	537 0.7×	440 0.7×	270 0.5×	176 0.5×	441 1.8×	42	2.9k
Paul P. Biemer United States	21	609 0.8×	1.4k 2.2×	155 0.3×	508 1.3×	174 0.7×	77	3.1k
Ita G. G. Kreft United States	16	479 0.6×	1.2k 1.8×	738 1.3×	379 1.0×	818 3.4×	28	4.5k
Geoff N Masters Australia	15	493 0.6×	311 0.5×	1.2k 2.0×	132 0.3×	376 1.6×	77	3.4k

Countries citing papers authored by Peter M. Steiner

Since Specialization

Citations

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

Fields of papers citing papers by Peter M. Steiner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter M. Steiner. 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 Peter M. Steiner. The network helps show where Peter M. Steiner may publish in the future.

Co-authorship network of co-authors of Peter M. Steiner

This figure shows the co-authorship network connecting the top 25 collaborators of Peter M. Steiner. A scholar is included among the top collaborators of Peter M. Steiner 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 Peter M. Steiner. Peter M. Steiner 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

Steiner, Peter M., Patrick Sheehan, & Vivian C. Wong. (2023). Correspondence measures for assessing replication success.. Psychological Methods. 30(4). 793–814. 3 indexed citations

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

Steiner, Peter M., et al.. (2018). Identification and Sensitivity Analysis for Average Causal Mediation Effects with Time-Varying Treatments and Mediators: Investigating the Underlying Mechanisms of Kindergarten Retention Policy. Psychometrika. 83(2). 298–320. 6 indexed citations

Steiner, Peter M., et al.. (2016). Identifying Causal Estimands for Time-Varying Treatments Measured with Time-Varying (Age or Grade-Based) Instruments. Multivariate Behavioral Research. 51(6). 1–6. 4 indexed citations

Steiner, Peter M., et al.. (2014). Bias Reduction in Quasi-Experiments With Little Selection Theory but Many Covariates. Journal of Research on Educational Effectiveness. 8(4). 552–576. 20 indexed citations

Steiner, Peter M. & Yongnam Kim. (2014). On the Bias-Amplifying Effect of Near Instruments in Observational Studies.. Society for Research on Educational Effectiveness. 1 indexed citations

Steiner, Peter M. & David Cook. (2013). Matching and Propensity Scores. Oxford University Press eBooks. 64 indexed citations

Keller, Bryan, Jee‐Seon Kim, & Peter M. Steiner. (2013). Abstract: Data Mining Alternatives to Logistic Regression for Propensity Score Estimation: Neural Networks and Support Vector Machines. Multivariate Behavioral Research. 48(1). 164–164. 9 indexed citations

Wong, Vivian C., Peter M. Steiner, & Thomas D. Cook. (2012). Analyzing Regression-Discontinuity Designs with Multiple Assignment Variables: A Comparative Study of Four Estimation Methods.. Society for Research on Educational Effectiveness. 7 indexed citations

10.

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.

11.

Hallberg, Kelly, Peter M. Steiner, & Thomas D. Cook. (2011). The Role of Pretest and Proxy-Pretest Measures of the Outcome for Removing Selection Bias in Observational Studies.. Society for Research on Educational Effectiveness. 1 indexed citations

12.

Jones, Nathan, Peter M. Steiner, & Tom Cook. (2011). Using Local Matching to Improve Estimates of Program Impact: Evidence from Project STAR.. Society for Research on Educational Effectiveness. 1 indexed citations

13.

Cook, Thomas D. & Peter M. Steiner. (2010). Case matching and the reduction of selection bias in quasi-experiments: The relative importance of pretest measures of outcome, of unreliable measurement, and of mode of data analysis.. Psychological Methods. 15(1). 56–68. 66 indexed citations

14.

Cook, Thomas D., et al.. (2009). Comparison Groups in Short Interrupted Time-Series: An Illustration evaluating No Child Left Behind. Society for Research on Educational Effectiveness. 2 indexed citations

15.

Steiner, Peter M., Thomas D. Cook, & William R. Shadish. (2009). On the Importance of Reliable Covariate Measurement in Selection Bias Adjustments Using Propensity Scores.. Society for Research on Educational Effectiveness. 1 indexed citations

16.

Steiner, Peter M., et al.. (2007). Schritte zur datengestützten Schulevaluation : eine Anleitung zur systematischen Datenerhebung mit Fragebogen.

17.

Steiner, Peter M., et al.. (2007). Das Q2E-Modell : Schritte zur Schulqualität : Aspekte eines ganzheitlichen Qualitätsmanagements an Schulen.

18.

Steiner, Peter M., et al.. (2007). Grundlagen der externen Schulevaluation : Verfahrensschritte, Standards und Instrumente zur Evaluation des Qualitätsmanagements. 1 indexed citations

19.

Steiner, Peter M.. (2001). El formalismo ruso: una metápoética.

20.

Neusser, Klaus, et al.. (1999). Evaluating Theories of Income Dynamics: A Probabilistic Approach. Institutional Repository (IHS Vienna). 2 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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