Lilli Japec
Impact in
- Statistics and Probability top 5%
- Survey Sampling and Estimation Techniques
- General Social Sciences top 5%
Papers in
-
- Survey Methodology and Nonresponse 5
-
- Data-Driven Disease Surveillance 2
- HIV, Drug Use, Sexual Risk 1
- Co-authors
- Edith D. de Leeuw (1 shared paper)Roberta L. Sangster (1 shared paper)Michael Link (1 shared paper)James M. Lepkowski (1 shared paper)Clyde Tucker (1 shared paper)Paul J. Lavrakas (1 shared paper)J. Michael Brick (1 shared paper)Paul P. Biemer (4 shared papers)
- Journals
- Public Opinion Quarterly (1 paper)Journal of Official Statistics (1 paper)Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique (1 paper)SHILAP Revista de lepidopterología (2 papers)Cambridge University Press eBooks (1 paper)
- Partner nations
- SwedenUnited StatesAustralia
In The Last Decade
Lilli Japec
8 papers receiving 438 citations
Peers
Comparison fields: 5 of 110
- Statistics and Probability 54
- General Social Sciences 20
- Sociology and Political Science 247
- Health 42
- Transportation 28
Countries citing papers authored by Lilli Japec
This map shows the geographic impact of Lilli Japec'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 Lilli Japec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lilli Japec more than expected).
Fields of papers citing papers by Lilli Japec
This network shows the impact of papers produced by Lilli Japec. 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 Lilli Japec. The network helps show where Lilli Japec may publish in the future.
Co-authors
The 25 scholars most cited alongside Lilli Japec, 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 | 2007 | 328 | |
| 2 | 2015 | 85 | |
| 3 | 2014 | 22 | |
| 4 | Big data meets survey science: A collection of innovative methods | 2020 | 13 |
| 5 | What's so special about cross-national surveys? | 2006 | 13 |
| 6 | 2006 | 11 | |
| 7 | 2014 | 8 | |
| 8 | 2019 | 7 | |
| 9 | Effects of Field Efforts on Nonresponse Bias and Costs in the Swedish Labour Force Survey | 2005 | 1 |
About Lilli Japec
Lilli Japec is a scholar working on Sociology and Political Science, Epidemiology, Infectious Diseases, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 9 papers that have together received 488 indexed citations. Recurring topics across this work include Survey Methodology and Nonresponse (5 papers), Data-Driven Disease Surveillance (2 papers), Complex Network Analysis Techniques (1 paper), Social and Educational Sciences (1 paper), Data Analysis with R (1 paper), Mental Health Research Topics (1 paper), Statistical Methods and Bayesian Inference (1 paper) and HIV, Drug Use, Sexual Risk (1 paper). The work is most often cited by research in Statistics and Probability (54 citations), General Social Sciences (20 citations), Sociology and Political Science (247 citations), Health (42 citations) and Transportation (28 citations). Lilli Japec has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Edith D. de Leeuw, Roberta L. Sangster, Michael Link, James M. Lepkowski, Clyde Tucker, Paul J. Lavrakas, J. Michael Brick, Paul P. Biemer, Cliff Lampe and Frauke Kreuter. Their work appears in journals such as Public Opinion Quarterly, Journal of Official Statistics, Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique, SHILAP Revista de lepidopterología and Cambridge University Press eBooks.
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.