Danny Pfeffermann

3.5k total citations
67 papers, 2.2k citations indexed

About

Danny Pfeffermann is a scholar working on Statistics and Probability, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Danny Pfeffermann has authored 67 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Statistics and Probability, 26 papers in Economics and Econometrics and 17 papers in Management Science and Operations Research. Recurrent topics in Danny Pfeffermann's work include Statistical Methods and Bayesian Inference (29 papers), Statistical Methods and Inference (14 papers) and demographic modeling and climate adaptation (12 papers). Danny Pfeffermann is often cited by papers focused on Statistical Methods and Bayesian Inference (29 papers), Statistical Methods and Inference (14 papers) and demographic modeling and climate adaptation (12 papers). Danny Pfeffermann collaborates with scholars based in Israel, United Kingdom and United States. Danny Pfeffermann's co-authors include David Holmes, Harvey Goldstein, Jon Rasbash, Charles H. Barnard, Miriam Krieger, Yosef Rinott, Simha F. Landau, Victoria Landsman, T. M. F. Smith and Lawrence D. Brown and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Danny Pfeffermann

60 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danny Pfeffermann Israel 24 1.0k 692 487 411 213 67 2.2k
Moshe Buchinsky United States 17 577 0.6× 2.0k 2.9× 181 0.4× 559 1.4× 110 0.5× 35 3.5k
Nikos Tzavidis United Kingdom 21 390 0.4× 394 0.6× 278 0.6× 288 0.7× 91 0.4× 66 1.2k
Carl‐Erik Särndal Sweden 17 2.3k 2.2× 769 1.1× 398 0.8× 811 2.0× 637 3.0× 49 4.5k
Robert E. Fay United States 11 686 0.7× 440 0.6× 296 0.6× 256 0.6× 132 0.6× 21 1.4k
Nicola Salvati Italy 26 462 0.5× 660 1.0× 406 0.8× 219 0.5× 89 0.4× 114 1.7k
Richard Valliant United States 19 734 0.7× 373 0.5× 92 0.2× 584 1.4× 136 0.6× 74 1.9k
Jean‐Claude Deville France 10 882 0.9× 295 0.4× 153 0.3× 353 0.9× 202 0.9× 23 1.7k
Chris Skinner United Kingdom 23 699 0.7× 322 0.5× 162 0.3× 530 1.3× 224 1.1× 79 2.0k
Bengt Swensson Canada 3 1.1k 1.1× 343 0.5× 195 0.4× 290 0.7× 363 1.7× 7 2.3k
Dale J. Poirier Canada 25 487 0.5× 1.3k 1.8× 291 0.6× 229 0.6× 172 0.8× 86 2.6k

Countries citing papers authored by Danny Pfeffermann

Since Specialization
Citations

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

Fields of papers citing papers by Danny Pfeffermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danny Pfeffermann

This figure shows the co-authorship network connecting the top 25 collaborators of Danny Pfeffermann. A scholar is included among the top collaborators of Danny Pfeffermann 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 Danny Pfeffermann. Danny Pfeffermann 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.
Pfeffermann, Danny, et al.. (2025). Statistical Inference Under Nonignorable Sampling and Nonresponse—An Empirical Likelihood Approach. Journal of Survey Statistics and Methodology. 13(5). 519–551.
2.
Dattner, Itai, Reuven Gal, Yair Goldberg, et al.. (2022). The role of statisticians in the response to COVID-19 in Israel: a holistic point of view. Israel Journal of Health Policy Research. 11(1). 22–22. 5 indexed citations
3.
4.
Diamond, Ian, Jouni Kuha, Danny Pfeffermann, et al.. (2020). Christopher John Skinner, 1953–2020. Journal of the Royal Statistical Society Series A (Statistics in Society). 183(4). 1819–1821.
5.
Pfeffermann, Danny, et al.. (2019). PLANNING THE NEXT CENSUS FOR ISRAEL. SHILAP Revista de lepidopterología. 20(1). 7–19.
6.
Pfeffermann, Danny, et al.. (2014). Estimation of Mean Squared Error of X-11-ARIMA and Other Estimators of Time Series Components. Journal of Official Statistics. 30(4). 811–838. 7 indexed citations
7.
Pfeffermann, Danny. (2013). New Important Developments in Small Area Estimation. Statistical Science. 28(1). 265 indexed citations
8.
Pfeffermann, Danny & Calyampudi Radhakrishna Rao. (2011). Essential methods for design based sample surveys : a derivative of Handbook of statistics: Sample surveys: Design, methods and applications, vol. 29a. North-Holland eBooks. 4 indexed citations
9.
Pfeffermann, Danny, et al.. (2011). Imputation and estimation under nonignorable nonresponse in household surveys with missing covariate information. Journal of Official Statistics. 27(2). 181–209. 25 indexed citations
10.
Pfeffermann, Danny & Victoria Landsman. (2011). Are private schools better than public schools? Appraisal for Ireland by methods for observational studies. The Annals of Applied Statistics. 5(3). 1726–1751. 26 indexed citations
11.
Pfeffermann, Danny, et al.. (2008). Small Area Estimation under a Two Part Random Effects Model with Application to Estimation of Literacy in Developing Countries. ePrints Soton (University of Southampton). 15 indexed citations
12.
Pfeffermann, Danny, et al.. (2007). Small-Area Estimation Under Informative Probability Sampling of Areas and Within the Selected Areas. Journal of the American Statistical Association. 102(480). 1427–1439. 71 indexed citations
13.
Pfeffermann, Danny. (2006). Invited discussion of paper by J. Jiang and P. Lahiri: Mixed Model Prediction and Small Area Estimation. ePrints Soton (University of Southampton). 12 indexed citations
14.
Pfeffermann, Danny, et al.. (2005). Bootstrap Approximation to Prediction MSE for State-Space Models with Estimated Parameters. ePrints Soton (University of Southampton). 1 indexed citations
15.
Clarke, Philip, et al.. (2005). Small area estimation under varying area boundaries using the synthetic estimator. ePrints Soton (University of Southampton). 1 indexed citations
16.
Pfeffermann, Danny. (2002). Small Area Estimation: New Developments and Directions. International Statistical Review. 70(1). 125–125. 32 indexed citations
17.
Pfeffermann, Danny. (2002). Small Area Estimation‐New Developments and Directions. International Statistical Review. 70(1). 125–143. 167 indexed citations
18.
Pfeffermann, Danny & Charles H. Barnard. (1991). Some New Estimators for Small-Area Means With Application to the Assessment of Farmland Values. Journal of Business and Economic Statistics. 9(1). 73–84. 37 indexed citations
19.
Pfeffermann, Danny & T. M. F. Smith. (1985). Regression Models for Grouped Populations in Cross-Section Surveys, Correspondent Paper. International Statistical Review. 53(1). 37–37. 24 indexed citations
20.
Pfeffermann, Danny, et al.. (1985). A Statistical Method for Assigning Priorities to Road Sections for Resurfacing. Technometrics. 27(1). 75–79. 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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