Bengt Swensson

3.6k total citations · 1 hit paper
7 papers, 2.3k citations indexed

About

Bengt Swensson is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Bengt Swensson has authored 7 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 2 papers in Management Science and Operations Research and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Bengt Swensson's work include Survey Sampling and Estimation Techniques (4 papers), Advanced Statistical Process Monitoring (2 papers) and Optimal Experimental Design Methods (2 papers). Bengt Swensson is often cited by papers focused on Survey Sampling and Estimation Techniques (4 papers), Advanced Statistical Process Monitoring (2 papers) and Optimal Experimental Design Methods (2 papers). Bengt Swensson collaborates with scholars based in Canada and Sweden. Bengt Swensson's co-authors include Carl‐Erik Särndal, Jan Wretman, A. Holmberg and Phillip S. Kott and has published in prestigious journals such as Biometrika, International Statistical Review and Springer series in statistics.

In The Last Decade

Bengt Swensson

5 papers receiving 1.9k 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
Bengt Swensson Canada	3	1.1k	426	363	343	293	7	2.3k
Jan Wretman Canada	6	1.2k 1.1×	432 1.0×	396 1.1×	379 1.1×	297 1.0×	8	2.5k
Jean D. Opsomer United States	25	1.1k 1.0×	350 0.8×	312 0.9×	334 1.0×	156 0.5×	77	2.2k
Silvia L. P. Ferrari Brazil	20	1.5k 1.4×	140 0.3×	385 1.1×	352 1.0×	301 1.0×	91	3.6k
Carl‐Erik Särndal Sweden	17	2.3k 2.1×	596 1.4×	637 1.8×	769 2.2×	411 1.4×	49	4.5k
Sharon L. Lohr United States	19	661 0.6×	120 0.3×	249 0.7×	446 1.3×	120 0.4×	69	3.0k
Diane Lambert United States	21	1.4k 1.4×	97 0.2×	939 2.6×	620 1.8×	220 0.8×	62	4.2k
Louis‐Paul Rivest Canada	26	1.4k 1.4×	259 0.6×	469 1.3×	646 1.9×	225 0.8×	130	4.3k
Göran Kauermann Germany	24	933 0.9×	152 0.4×	247 0.7×	497 1.4×	99 0.3×	131	2.3k
Peter K. Dunn Australia	27	679 0.6×	184 0.4×	298 0.8×	205 0.6×	216 0.7×	91	3.0k
John Wiley	2	928 0.9×	138 0.3×	184 0.5×	276 0.8×	120 0.4×	4	2.2k

Countries citing papers authored by Bengt Swensson

Since Specialization

Citations

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

Fields of papers citing papers by Bengt Swensson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bengt Swensson

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

All Works

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7 of 7 papers shown

1.

Swensson, Bengt, et al.. (2005). An Interview with the Authors of the Book Model Assisted Survey Sampling. Journal of Official Statistics. 21(2). 171.

2.

Holmberg, A. & Bengt Swensson. (2001). On Pareto πps sampling: Reflections on unequal probability sampling strategies. 142–155. 1 indexed citations

3.

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

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). 527–527. 2 indexed citations

5.

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

6.

Särndal, Carl‐Erik, Bengt Swensson, & Carl‐Erik Särndal. (1987). A General View of Estimation for Two Phases of Selection with Applications to Two-Phase Sampling and Nonresponse. International Statistical Review. 55(3). 279–279. 56 indexed citations

7.

Swensson, Bengt. (1982). A survey of nonresponse terms. Statistical Journal of the United Nations Economic Commission for Europe. 1(2). 241–251. 1 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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