Chris Skinner

3.2k citations
79 papers · 2.0k indexed · 1 hit paper · h-index 23
Topics
Statistical Methods and Bayesian Inference (30 papers)Survey Methodology and Nonresponse (12 papers)Survey Sampling and Estimation Techniques (12 papers)

In The Last Decade

Chris Skinner

75 papers receiving 1.7k citations

Hit Papers

Analysis of Complex Surveys.19912026200220141991200400600

Peers

Chris Skinner
Comparison fields: 5 of 165
  • Statistics and Probability 699
  • Sociology and Political Science 530
  • Economics and Econometrics 322
  • General Health Professions 264
  • Artificial Intelligence 224
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Citations per field
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Citations per year

Countries citing papers authored by Chris Skinner

Since Specialization
Citations

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

Fields of papers citing papers by Chris Skinner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Skinner

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Skinner. A scholar is included among the top collaborators of Chris Skinner 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 Chris Skinner. Chris Skinner 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
#WorkIndexed citations
1 5
2
Estimation of Response Propensities and Indicators of Representative Response Using Population-Level Information
2
3 11
4
2014 National Autism Conference
0
5
Indicators for monitoring and improving representativeness of response
46
6
Estimating models for panel survey data under complex sampling
11
7 26
8
Comment on: A. Demnati and J.N.K. Rao, 'linearization variance estimators for model parameters from complex survey data'
11
9
Estimation of a measure of disclosure risk for survey microdata under unequal probability sampling
5
10 6
11
Calibration weighting and non-sampling errors
4
12
Special uniques, random uniques and sticky populations: some counterintuitive effects of geographical detail on disclosure risk
20
13
Instrumental variable estimation of gross flows in the presence of measurement error
2
14
The STScI NICMOS Pipeline: CALNICA Single Image Reduction
3
15
Cosmic Rays on NICMOS: Results from Thermal Vacuum Data
1
16
The use of synthetic estimation techniques to produce small area estimates
4
17
Modelling population uniqueness
5
18 12
19 11
20
Elliptical-theory tests for equality of two covariance matrices
1

About Chris Skinner

Chris Skinner is a scholar working on Statistics and Probability, Economics and Econometrics and Management Science and Operations Research, having authored 79 papers that have together received 2.0k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (30 papers), Survey Methodology and Nonresponse (12 papers) and Survey Sampling and Estimation Techniques (12 papers). The work is most often cited by research in Statistics and Probability (699 citations), Health (165 citations) and Management Science and Operations Research (162 citations). Chris Skinner has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include T. M. F. Smith, D Holt, Daniel T. Holt, Ian Plewis, Peter Spurgeon, David Holmes, Natalie Shlomo, Barry Schouten, Anders Ekholm and Sylke V. Schnepf. Their work appears in journals such as Journal of the American Statistical Association, Journal of Marketing Research and Biometrics.

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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