Laura Zayatz
- Statistics and Probability top 5%
- Census and Population Estimation 4
- Statistical Methods and Bayesian Inference 3
- Statistical Methods and Inference 2
- Statistical Distribution Estimation and Applications 1
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- demographic modeling and climate adaptation 2
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data 2
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- Survey Methodology and Nonresponse 4
- Privacy, Security, and Data Protection 2
- Co-authors
- Julia LanePat DoyleJules TheeuwesTapan K. NayakBimal K. SinhaJeff LarrimoreShuaizhang FengRichard V. Burkhauser
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchArtificial Intelligence
- Journals
- Lecture notes in computer science (1 paper)Journal of Empirical Research on Human Research Ethics (2 papers)Statistica Neerlandica (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Laura Zayatz
12 papers receiving 279 citations
Peers
Comparison fields: 5 of 64
- Statistics and Probability 71
- Management Science and Operations Research 78
- Artificial Intelligence 187
- Computer Science Applications 17
- Information Systems and Management 14
Countries citing papers authored by Laura Zayatz
This map shows the geographic impact of Laura Zayatz'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 Laura Zayatz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Zayatz more than expected).
Fields of papers citing papers by Laura Zayatz
This network shows the impact of papers produced by Laura Zayatz. 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 Laura Zayatz. The network helps show where Laura Zayatz may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Laura Zayatz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Statistical Properties of Multiplicative Noise Masking for Confidentiality Protection | 2011 | 13 |
| 2 | 2011 | 10 | |
| 3 | 2010 | 4 | |
| 4 | 2009 | 2 | |
| 5 | 2008 | 12 | |
| 6 | 2007 | 6 | |
| 7 | 2007 | 27 | |
| 8 | 2006 | 5 | |
| 9 | American FactFinder: Disclosure Limitation for the Advanced Query System | 2004 | 5 |
| 10 | Confidentiality, Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies | 2001 | 207 |
| 11 | USING LINEAR PROGRAMMING METHODOLOGY FOR DISCLOSURE AVOIDANCE PURPOSES | 1992 | 2 |
| 12 | 1992 | 27 |
About Laura Zayatz
Laura Zayatz is a scholar working on Statistics and Probability, Management Science and Operations Research and Sociology and Political Science, having authored 12 papers that have together received 320 indexed citations. Recurring topics across this work include Survey Methodology and Nonresponse (4 papers), Census and Population Estimation (4 papers), Statistical Methods and Bayesian Inference (3 papers), Privacy-Preserving Technologies in Data (2 papers), demographic modeling and climate adaptation (2 papers), Statistical Methods and Inference (2 papers), Privacy, Security, and Data Protection (2 papers) and Statistical Distribution Estimation and Applications (1 paper). The work is most often cited by research in Statistics and Probability (71 citations), Management Science and Operations Research (78 citations) and Artificial Intelligence (187 citations). Laura Zayatz has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Julia Lane, Pat Doyle, Jules Theeuwes, Tapan K. Nayak, Bimal K. Sinha, Jeff Larrimore, Shuaizhang Feng, Richard V. Burkhauser, Daniel H. Weinberg and John M. Abowd. Their work appears in journals such as Lecture notes in computer science, Journal of Empirical Research on Human Research Ethics and Statistica Neerlandica.
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.