Jan Wretman

3.8k total citations · 1 hit paper
8 papers, 2.5k citations indexed

About

Jan Wretman is a scholar working on Statistics and Probability, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Jan Wretman has authored 8 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 2 papers in Sociology and Political Science and 2 papers in Artificial Intelligence. Recurrent topics in Jan Wretman's work include Statistical Methods and Bayesian Inference (3 papers), Survey Sampling and Estimation Techniques (3 papers) and Bayesian Methods and Mixture Models (2 papers). Jan Wretman is often cited by papers focused on Statistical Methods and Bayesian Inference (3 papers), Survey Sampling and Estimation Techniques (3 papers) and Bayesian Methods and Mixture Models (2 papers). Jan Wretman collaborates with scholars based in Canada and Sweden. Jan Wretman's co-authors include Bengt Swensson, Carl‐Erik Särndal, Carl Erik Särndal, Claes M. Cassel and Arne Sandström and has published in prestigious journals such as Biometrika, Journal of Business and Economic Statistics and Springer series in statistics.

In The Last Decade

Jan Wretman

7 papers receiving 2.1k 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.

Model Assisted Survey Sampling

1992 2.2k citations Carl‐Erik Särndal, Bengt Swensson et al. Springer series in statistics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Wretman Canada	6	1.2k	432	396	379	307	8	2.5k
Bengt Swensson Canada	3	1.1k 0.9×	426 1.0×	363 0.9×	343 0.9×	290 0.9×	7	2.3k
Carl‐Erik Särndal Sweden	17	2.3k 1.9×	596 1.4×	637 1.6×	769 2.0×	811 2.6×	49	4.5k
Jean D. Opsomer United States	25	1.1k 0.9×	350 0.8×	312 0.8×	334 0.9×	122 0.4×	77	2.2k
Silvia L. P. Ferrari Brazil	20	1.5k 1.3×	140 0.3×	385 1.0×	352 0.9×	158 0.5×	91	3.6k
Diane Lambert United States	21	1.4k 1.2×	97 0.2×	939 2.4×	620 1.6×	434 1.4×	62	4.2k
Sharon L. Lohr United States	19	661 0.6×	120 0.3×	249 0.6×	446 1.2×	661 2.2×	69	3.0k
Louis‐Paul Rivest Canada	26	1.4k 1.2×	259 0.6×	469 1.2×	646 1.7×	66 0.2×	130	4.3k
Daniel G. Horvitz United States	15	3.4k 2.9×	174 0.4×	952 2.4×	583 1.5×	567 1.8×	25	5.3k
Göran Kauermann Germany	24	933 0.8×	152 0.4×	247 0.6×	497 1.3×	149 0.5×	131	2.3k
Peter K. Dunn Australia	27	679 0.6×	184 0.4×	298 0.8×	205 0.5×	85 0.3×	91	3.0k

Countries citing papers authored by Jan Wretman

Since Specialization

Citations

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

Fields of papers citing papers by Jan Wretman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Wretman

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

All Works

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8 of 8 papers shown

1.

Wretman, Jan, et al.. (2006). Estimating interviewer variance under a measurement error model for continuous survey data.

2.

Särndal, Carl‐Erik, Bengt Swensson, & Jan Wretman. (1992). Model Assisted Survey Sampling. Springer series in statistics. 2179 indexed citations breakdown →

3.

Särndal, Carl‐Erik, Bengt Swensson, & Jan Wretman. (1989). The Weighted Residual Technique for Estimating the Variance of the General Regression Estimator of the Finite Population Total. Biometrika. 76(3). 527–527. 2 indexed citations

4.

Särndal, Carl‐Erik, Bengt Swensson, & Jan Wretman. (1989). The weighted residual technique for estimating the variance of the general regression estimator of the finite population total. Biometrika. 76(3). 527–537. 69 indexed citations

5.

Sandström, Arne, et al.. (1988). Variance Estimators of the Gini Coefficient: Probability Sampling. Journal of Business and Economic Statistics. 6(1). 113–113. 14 indexed citations

6.

Sandström, Arne, et al.. (1988). Variance Estimators of the Gini Coefficient—Probability Sampling. Journal of Business and Economic Statistics. 6(1). 113–119. 31 indexed citations

7.

Cassel, Claes M., Carl Erik Särndal, & Jan Wretman. (1976). Some results on generalized difference estimation and generalized regression estimation for finite populations. Biometrika. 63(3). 615–620. 165 indexed citations

8.

Cassel, Claes M., Carl Erik Särndal, & Jan Wretman. (1976). Some Results on Generalized Difference Estimation and Generalized Regression Estimation for Finite Populations. Biometrika. 63(3). 615–615. 5 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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