Gad Nathan

859 total citations
23 papers, 592 citations indexed

About

Gad Nathan is a scholar working on Statistics and Probability, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, Gad Nathan has authored 23 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 5 papers in Sociology and Political Science and 4 papers in Economics and Econometrics. Recurrent topics in Gad Nathan's work include Survey Sampling and Estimation Techniques (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Advanced Statistical Methods and Models (5 papers). Gad Nathan is often cited by papers focused on Survey Sampling and Estimation Techniques (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Advanced Statistical Methods and Models (5 papers). Gad Nathan collaborates with scholars based in Israel, Palestinian Territory and Slovenia. Gad Nathan's co-authors include Rahul Mukerjee, Arijit Chaudhuri, Daniel T. Holt, Denise Hawkes, Ian Plewis, Lisa Calderwood, Simha F. Landau, Danny Pfeffermann and Monroe G. Sirken and has published in prestigious journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology) and International Statistical Review.

In The Last Decade

Gad Nathan

22 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gad Nathan Israel	11	293	176	74	70	52	23	592
Frank van de Pol Netherlands	6	162 0.6×	91 0.5×	111 1.5×	66 0.9×	35 0.7×	7	476
Siegfried Gabler Germany	14	137 0.5×	138 0.8×	33 0.4×	98 1.4×	41 0.8×	55	574
Miron L. Straf United States	8	78 0.3×	190 1.1×	22 0.3×	67 1.0×	49 0.9×	19	628
Leonardo Grilli Italy	17	214 0.7×	130 0.7×	51 0.7×	164 2.3×	16 0.3×	55	764
Ronald Schoenberg United States	12	64 0.2×	80 0.5×	26 0.4×	38 0.5×	21 0.4×	19	426
Lois Oksenberg United States	6	71 0.2×	281 1.6×	19 0.3×	60 0.9×	22 0.4×	7	498
Natalie Shlomo United Kingdom	13	160 0.5×	290 1.6×	134 1.8×	135 1.9×	97 1.9×	61	647
Frederic A. Vogel United States	3	106 0.4×	220 1.3×	9 0.1×	74 1.1×	25 0.5×	5	522
Yajuan Si United States	9	132 0.5×	70 0.4×	64 0.9×	28 0.4×	22 0.4×	25	285

Countries citing papers authored by Gad Nathan

Since Specialization

Citations

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

Fields of papers citing papers by Gad Nathan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gad Nathan

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

1.

Nathan, Gad, et al.. (2009). Two-stage informative cluster sampling—estimation and prediction with applications for small-area models. Journal of Statistical Planning and Inference. 139(9). 3088–3101. 10 indexed citations

2.

Nathan, Gad, et al.. (2006). The analysis of data from sample surveys under informative sampling. Acta et Commentationes Universitatis Tartuensis de Mathematica. 10. 41–51. 4 indexed citations

3.

Nathan, Gad, et al.. (2005). Fitting time series models for longitudinal survey data under informative sampling. Journal of Statistical Planning and Inference. 136(9). 3052–3069. 17 indexed citations

4.

Plewis, Ian, Lisa Calderwood, Denise Hawkes, & Gad Nathan. (2004). National Child Development Study and 1970 British Cohort Study Technical Report: Changes in the NCDS and BCS70 Populations and Samples over Time. 117 indexed citations

5.

Nathan, Gad. (2002). Landmark Papers in Survey Statistics. Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique. 73(1). 5–13. 2 indexed citations

6.

Nathan, Gad. (2001). Methodologies for internet surveys and other telesurveys. 4 indexed citations

7.

Nathan, Gad. (2001). Telesurvey Methodologies for Household Surveys - A Review and Some Thoughts for the Future. 29 indexed citations

8.

Nathan, Gad, et al.. (2000). Multilevel modelling of complex survey longitudinal data with time varying random effects. ePrints Soton (University of Southampton). 9 indexed citations

9.

Nathan, Gad, et al.. (1985). Alternative Dual System Network Estimators. International Statistical Review. 53(2). 183–183. 3 indexed citations

10.

Nathan, Gad, et al.. (1984). FURTHER EXPLORATIONS IN THE SCALING OF PENALTIES. The British Journal of Criminology. 24(3). 221–249. 32 indexed citations

11.

Landau, Simha F. & Gad Nathan. (1983). SELECTING DELINQUENTS FOR CAUTIONING IN THE LONDON METROPOLITAN AREA. The British Journal of Criminology. 23(2). 128–149. 28 indexed citations

12.

Nathan, Gad. (1983). A simulation comparison of estimators for a regression coefficient under differential non-response. Communication in Statistics- Theory and Methods. 12(6). 645–659. 7 indexed citations

13.

Nathan, Gad, et al.. (1981). Regression Analysis of Data from a Cluster Sample. Journal of the American Statistical Association. 76(375). 681–689. 39 indexed citations

14.

Nathan, Gad & Daniel T. Holt. (1980). The Effect of Survey Design on Regression Analysis. Journal of the Royal Statistical Society Series B (Statistical Methodology). 42(3). 377–386. 61 indexed citations

15.

Nathan, Gad. (1976). An Empirical Study of Response and Sampling Errors for Multiplicity Estimates with Different Counting Rules. Journal of the American Statistical Association. 71(356). 808–808. 5 indexed citations

16.

Nathan, Gad. (1976). An Empirical Study of Response and Sampling Errors for Multiplicity Estimates with Different Counting Rules. Journal of the American Statistical Association. 71(356). 808–815. 22 indexed citations

17.

Nathan, Gad. (1973). Approximate tests of independence in contingency tables from complex stratified cluster samples.. PubMed. 1–14.

18.

Nathan, Gad. (1972). On the Asymptotic Power of Tests for Independence in Contingency Tables from Stratified Samples. Journal of the American Statistical Association. 67(340). 917–917. 4 indexed citations

19.

Nathan, Gad. (1972). On the Asymptotic Power of Tests for Independence in Contingency Tables from Stratified Samples. Journal of the American Statistical Association. 67(340). 917–920. 9 indexed citations

20.

Nathan, Gad. (1967). Outcome Probabilities for a Record Matching Process with Complete Invariant Information. Journal of the American Statistical Association. 62(318). 454–469. 15 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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