Yves G. Berger

47 papers receiving 441 citations

Peers

Yves G. Berger
Comparison fields: 5 of 85
  • Statistics and Probability 312
  • Sociology and Political Science 107
  • Artificial Intelligence 89
  • Economics and Econometrics 75
  • Public Health, Environmental and Occupational Health 37
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Countries citing papers authored by Yves G. Berger

Since Specialization
Citations

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

Fields of papers citing papers by Yves G. Berger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yves G. Berger. 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 Yves G. Berger. The network helps show where Yves G. Berger may publish in the future.

Co-authorship network of co-authors of Yves G. Berger

This figure shows the co-authorship network connecting the top 25 collaborators of Yves G. Berger. A scholar is included among the top collaborators of Yves G. Berger 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 Yves G. Berger. Yves G. Berger 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
#WorkIndexed citations
1 1
2 12
3 6
4 9
5
Variance estimation of change of poverty based upon the Turkish EU-SILC survey
2
6 2
7
Empirical Likelihood Confidence Intervals under the Rao-Hartley-Cochran Sampling Design
1
8
Empirical likelihood confidence intervals and significance test for regression parameters under complex sampling designs
1
9
Standard error estimation for the EU-SILC indicators of poverty and social exclusion
11
10 4
11
Variance estimation of imputed estimators of change over time from repeated surveys
1
12 78
13
Asymptotic consistency under large entropy sampling designs with unequal probabilities
19
14
A note on the asymptotic equivalence of jackknife and linearization variance estimation for the Gini coefficient
13
15 14
16
Variance estimation for change: an evaluation based upon the 2000 Finnish labour force survey
2
17
A modified Hájek variance estimator for systematic sampling
4
18 30
19
Variance estimation using list sequential scheme for unequal probability sampling
4
20
Asymptotic variance for sequential sampling without replacement with unequal probabilities
3

About Yves G. Berger

Yves G. Berger is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Filtration and Separation, having authored 51 papers that have together received 483 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (33 papers), Statistical Methods and Inference (19 papers) and Survey Sampling and Estimation Techniques (18 papers). The work is most often cited by research in Statistics and Probability (312 citations), Pharmacy (26 citations) and Statistics, Probability and Uncertainty (25 citations). Yves G. Berger has collaborated with scholars based in United Kingdom, Belgium and Spain. Frequent co-authors include Rachel L McCrea, Michael King, C. J. Skinner, J. N. K. Rao, Juan Francisco Muñoz Rosas, Tim Goedemé, Yves Tillé, M. Rueda, S. Martínez and Antonio Arcos. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biometrika and International Journal of Obesity.

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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