David Haziza

944 total citations
48 papers, 535 citations indexed

About

David Haziza is a scholar working on Statistics and Probability, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, David Haziza has authored 48 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Statistics and Probability, 14 papers in Sociology and Political Science and 6 papers in Economics and Econometrics. Recurrent topics in David Haziza's work include Statistical Methods and Bayesian Inference (36 papers), Survey Sampling and Estimation Techniques (22 papers) and Statistical Methods and Inference (16 papers). David Haziza is often cited by papers focused on Statistical Methods and Bayesian Inference (36 papers), Survey Sampling and Estimation Techniques (22 papers) and Statistical Methods and Inference (16 papers). David Haziza collaborates with scholars based in Canada, United States and France. David Haziza's co-authors include Jean‐François Beaumont, Christian Léger, Guillaume Chauvet, Jae Kwang Kim, J. N. K. Rao, Jean‐Claude Deville, Anne Ruiz‐Gazen, Pierre Duchesne, Xavier D’Haultfœuille and Changbao Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Biometrika.

In The Last Decade

David Haziza

47 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Haziza Canada	14	402	129	77	73	38	48	535
Alan H. Dorfman United States	13	391 1.0×	69 0.5×	100 1.3×	139 1.9×	35 0.9×	31	591
Michael W. Robbins United States	13	153 0.4×	81 0.6×	107 1.4×	36 0.5×	22 0.6×	45	541
Cary T. Isaki United States	7	597 1.5×	71 0.6×	56 0.7×	128 1.8×	34 0.9×	13	660
Siu‐Ming Tam Australia	9	134 0.3×	53 0.4×	46 0.6×	43 0.6×	31 0.8×	36	252
Marco Di Zio Italy	10	189 0.5×	56 0.4×	65 0.8×	161 2.2×	84 2.2×	26	424
Elizabeth A. Stasny United States	12	309 0.8×	73 0.6×	32 0.4×	45 0.6×	27 0.7×	34	499
Ralf Münnich Germany	10	125 0.3×	54 0.4×	73 0.9×	37 0.5×	89 2.3×	63	287
S. Martínez Spain	11	167 0.4×	85 0.7×	41 0.5×	52 0.7×	9 0.2×	36	327
Philip J. McCarthy Canada	9	202 0.5×	66 0.5×	38 0.5×	45 0.6×	81 2.1×	20	442
R. J. A. Little United States	8	162 0.4×	77 0.6×	51 0.7×	43 0.6×	24 0.6×	10	283

Countries citing papers authored by David Haziza

Since Specialization

Citations

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

Fields of papers citing papers by David Haziza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Haziza

This figure shows the co-authorship network connecting the top 25 collaborators of David Haziza. A scholar is included among the top collaborators of David Haziza 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 David Haziza. David Haziza 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

Haziza, David, et al.. (2022). A unified framework of multiply robust estimation approaches for handling incomplete data. Computational Statistics & Data Analysis. 179. 107646–107646. 1 indexed citations

Haziza, David, et al.. (2022). A Comparison of Existing Bootstrap Algorithms for Multi-Stage Sampling Designs. SHILAP Revista de lepidopterología. 5(2). 521–537. 3 indexed citations

Beaumont, Jean‐François & David Haziza. (2022). Statistical inference from finite population samples: A critical review of frequentist and Bayesian approaches. Canadian Journal of Statistics. 50(4). 1186–1212. 4 indexed citations

Haziza, David, et al.. (2021). A Review of Multiply Robust Estimation with Missing Data. 103–118. 2 indexed citations

Haziza, David, et al.. (2021). A note on multiply robust predictive mean matching imputation with complex survey data.. PubMed. 47(1). 215–222. 1 indexed citations

Haziza, David, et al.. (2020). Model-assisted estimation through random forests in finite population sampling. arXiv (Cornell University). 13 indexed citations

Haziza, David & Paul A. Smith. (2019). An Interview with Chris Skinner. International Statistical Review. 87(3). 451–470.

Haziza, David, et al.. (2018). Jackknife empirical likelihood method for multiply robust estimation with missing data. Computational Statistics & Data Analysis. 127. 258–268. 15 indexed citations

Haziza, David, et al.. (2018). Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review. International Statistical Review. 87(S1). 20 indexed citations

10.

Haziza, David, et al.. (2017). Multiply robust imputation procedures for zero-inflated distributions in surveys. METRON. 75(3). 333–343. 6 indexed citations

11.

Haziza, David, et al.. (2017). Construction of Weights in Surveys: A Review. Statistical Science. 32(2). 47 indexed citations

12.

Haziza, David, et al.. (2017). OUP accepted manuscript. Biometrika. 26 indexed citations

13.

Haziza, David, et al.. (2016). A Discussion of Weighting Procedures for Unit Nonresponse. Journal of Official Statistics. 32(1). 129–145. 31 indexed citations

14.

Haziza, David, et al.. (2016). A survey of bootstrap methods in finite population sampling. Project Euclid (Cornell University). 10(none). 45 indexed citations

15.

Beaumont, Jean‐François, Audrey Béliveau, & David Haziza. (2015). Clarifying Some Aspects of Variance Estimation in Two-Phase Sampling. Journal of Survey Statistics and Methodology. 3(4). 524–542. 4 indexed citations

16.

Léger, Christian, et al.. (2014). Bootstrap methods for imputed data from regression, ratio and hot‐deck imputation. Canadian Journal of Statistics. 42(1). 142–167. 13 indexed citations

17.

Haziza, David, et al.. (2014). Preserving relationships between variables with MIVQUE based imputation for missing survey data. Journal of Multivariate Analysis. 131. 197–208. 3 indexed citations

18.

Kim, Jae Kwang & David Haziza. (2013). Doubly robust inference with missing data in survey sampling. Statistica Sinica. 33 indexed citations

19.

Haziza, David, et al.. (2011). The effect of non-response adjustments on variance estimation. Quality Engineering. 56(1). 95–96. 6 indexed citations

20.

Haziza, David, et al.. (2008). Evaluation of some approximate variance estimators under the Rao-Sampford unequal probability sampling design. METRON. 1(1). 89–106. 18 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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