Phillip S. Kott

2.1k citations
75 papers · 1.2k · h-index 15

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 26
    • Survey Sampling and Estimation Techniques 17
    • Statistical Methods and Inference 16
    • Advanced Statistical Methods and Models 13
    • Census and Population Estimation 5
    • Survey Methodology and Nonresponse 14

Phillip S. Kott

68 papers receiving 1.0k citations

Peers

Phillip S. Kott
Comparison fields: 5 of 125
  • Statistics and Probability 441
  • Public Health, Environmental and Occupational Health 219
  • Nutrition and Dietetics 105
  • Economics and Econometrics 151
  • Sociology and Political Science 200
Replace Getachew Dagne with:
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Muhammad Aslam Pakistan
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Citations per year

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-authors

The 25 scholars most cited alongside Phillip S. Kott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Phillip S. Kott Line = papers co-authored together Phillip S. Kott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997181
2 1989137
3
Using Calibration Weighting to Adjust for Nonresponse and Coverage Errors
2006100
4 200895
5 199689
6 200870
7 201067
8 201660
9
The delete-a-group jackknife:
200152
10 199142
11 200725
12
Can the jackknife be used with a two-phase sample
199723
13 199420
14 201118
15 201515
16 200413
17 201712
18
Using the Delete-a-Group Jackknife Variance Estimator in NASS Surveys
200112
19 199012
20
Weighting mixed mode data for the 2015 Residential Energy Consumption Survey (RECS)
20179

About Phillip S. Kott

Phillip S. Kott is a scholar working on Statistics and Probability, Sociology and Political Science, Artificial Intelligence, Economics and Econometrics and Management Science and Operations Research, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (26 papers), Survey Sampling and Estimation Techniques (17 papers), Statistical Methods and Inference (16 papers), Survey Methodology and Nonresponse (14 papers), Advanced Statistical Methods and Models (13 papers), Genetic and phenotypic traits in livestock (5 papers), Census and Population Estimation (5 papers) and Economic and Environmental Valuation (4 papers). The work is most often cited by research in Statistics and Probability (441 citations), Public Health, Environmental and Occupational Health (219 citations), Nutrition and Dietetics (105 citations), Economics and Econometrics (151 citations) and Sociology and Political Science (200 citations). Phillip S. Kott has collaborated with scholars based in United States and Israel. Frequent 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. Their work appears in journals such as Journal of Business and Economic Statistics, Journal of the American Statistical Association, The American Statistician, Biometrika and Journal of Statistical Planning and Inference.

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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