Phillip S. Kott

2.0k total citations
74 papers, 1.2k citations indexed

About

Phillip S. Kott is a scholar working on Statistics and Probability, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Phillip S. Kott has authored 74 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Statistics and Probability, 14 papers in Sociology and Political Science and 7 papers in Artificial Intelligence. Recurrent topics in Phillip S. Kott's work include Statistical Methods and Bayesian Inference (26 papers), Survey Sampling and Estimation Techniques (17 papers) and Statistical Methods and Inference (16 papers). Phillip S. Kott is often cited by papers focused on Statistical Methods and Bayesian Inference (26 papers), Survey Sampling and Estimation Techniques (17 papers) and Statistical Methods and Inference (16 papers). Phillip S. Kott collaborates with scholars based in United States and Israel. Phillip S. Kott's co-authors include Patricia M. Guenther, Ted Chang, Susan M. Krebs‐Smith, Alicia L. Carriquiry, Laurence S. Freedman, Dan Liao, Eric R. Ziegel, David A. Binder, Beth Han and Wilson M. Compton and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Phillip S. Kott

68 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phillip S. Kott United States 15 444 343 217 156 145 74 1.2k
Getachew Dagne United States 19 298 0.7× 192 0.6× 60 0.3× 83 0.5× 40 0.3× 87 1.1k
Michele Nichols United States 17 366 0.8× 531 1.5× 18 0.1× 39 0.3× 95 0.7× 23 1.6k
D Holt United Kingdom 5 192 0.4× 53 0.2× 148 0.7× 108 0.7× 12 0.1× 8 738
Sat Gupta United States 24 1.3k 3.0× 76 0.2× 122 0.6× 39 0.3× 30 0.2× 116 1.9k
Kirk M. Wolter United States 16 407 0.9× 43 0.1× 127 0.6× 138 0.9× 14 0.1× 37 981
H.S. Steyn South Africa 11 74 0.2× 67 0.2× 113 0.5× 48 0.3× 39 0.3× 42 676
P. R. Philips United Kingdom 17 74 0.2× 163 0.5× 63 0.3× 471 3.0× 27 0.2× 37 1.3k
J. R. Ashford United Kingdom 21 298 0.7× 58 0.2× 41 0.2× 115 0.7× 16 0.1× 80 1.4k
Caroline Beunckens Belgium 11 325 0.7× 46 0.1× 40 0.2× 37 0.2× 27 0.2× 17 810
Amy B. Dailey United States 18 71 0.2× 113 0.3× 170 0.8× 65 0.4× 25 0.2× 33 1.0k

Countries citing papers authored by Phillip S. Kott

Since Specialization
Citations

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

Fields of papers citing papers by Phillip S. Kott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip S. Kott. 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 Phillip S. Kott. The network helps show where Phillip S. Kott may publish in the future.

Co-authorship network of co-authors of Phillip S. Kott

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip S. Kott. A scholar is included among the top collaborators of Phillip S. Kott 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 Phillip S. Kott. Phillip S. Kott 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.
Kott, Phillip S.. (2018). Integrating the results of a nonresponse follow-up survey into the survey from which its items were selected. Statistical Journal of the IAOS. 35(2). 289–297. 1 indexed citations
2.
Kott, Phillip S.. (2017). A Partially Successful Attempt to Integrate a Web-Recruited Cohort into an Address-Based Sample. SHILAP Revista de lepidopterología. 1 indexed citations
3.
Kott, Phillip S. & Dan Liao. (2017). Calibration Weighting for Nonresponse that is Not Missing at Random: Allowing More Calibration than Response-Model Variables. Journal of Survey Statistics and Methodology. 5(2). 159–174. 11 indexed citations
4.
Kott, Phillip S., et al.. (2011). Evaluating the Small-Sample Bias of the Delete-a-Group Jackknife for Model Analyses. Journal of Official Statistics. 27(1). 121–134. 1 indexed citations
5.
Kott, Phillip S., et al.. (2009). Evaluating alternative one-sided coverage intervals for a proportion. Journal of Official Statistics. 25(4). 569–588. 6 indexed citations
6.
Kott, Phillip S., et al.. (2008). Developing A Coverage Adjustment Strategy for the 2002 Census of Agriculture. 1 indexed citations
7.
Kott, Phillip S.. (2008). Some research on calibration estimators at the National Agricultural Statistics Service. 2 indexed citations
8.
Freedman, Laurence S., Patricia M. Guenther, Susan M. Krebs‐Smith, & Phillip S. Kott. (2008). A Population’s Mean Healthy Eating Index-2005 Scores Are Best Estimated by the Score of the Population Ratio when One 24-Hour Recall Is Available1,. Journal of Nutrition. 138(9). 1725–1729. 94 indexed citations
9.
Chang, Ted & Phillip S. Kott. (2008). Using calibration weighting to adjust for nonresponse under a plausible model. Biometrika. 95(3). 555–571. 71 indexed citations
10.
Kott, Phillip S.. (2006). Delete-a-group variance estimation for the general regression estimator under poisson sampling. Journal of Official Statistics. 22(4). 759–767. 4 indexed citations
11.
Kott, Phillip S.. (2006). Using Calibration Weighting to Adjust for Nonresponse and Coverage Errors. 101 indexed citations
12.
Kott, Phillip S.. (2005). A note on the Hartley-Rao variance estimator. Journal of Official Statistics. 21(3). 433–439. 1 indexed citations
13.
Swensson, Bengt, et al.. (2005). An Interview with the Authors of the Book Model Assisted Survey Sampling. Journal of Official Statistics. 21(2). 171.
14.
Kott, Phillip S.. (2003). A practical use of instrumental-variable calibration. Journal of Official Statistics. 19(3). 265–272. 8 indexed citations
15.
Kott, Phillip S.. (2001). The delete-a-group jackknife:. Journal of Official Statistics. 17(4). 521–526. 51 indexed citations
16.
Kott, Phillip S., et al.. (1997). Developing an estimation strategy for a pesticide data program. Journal of Official Statistics. 13(4). 357–383. 6 indexed citations
17.
Kott, Phillip S., et al.. (1997). Can the jackknife be used with a two-phase sample. 23(2). 81–89. 23 indexed citations
18.
Kott, Phillip S.. (1994). Hypothesis testing of linear regression coefficients with survey data. 20(1). 159–164. 6 indexed citations
19.
Kott, Phillip S.. (1990). Estimating a system of linear equations with survey data. 17(1). 91–98. 1 indexed citations
20.
Kott, Phillip S.. (1985). A Note on Model-Based Stratification. Journal of Business and Economic Statistics. 3(3). 284–284. 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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