Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Measurement Errors in Surveys.
1992507 citationsFrederic A. Vogel, Paul P. Biemer et al.Journal of the American Statistical Associationprofile →
Telephone Survey Methodology.
1990440 citationsStanley Presser, Robert M. Groves et al.Contemporary Sociology A Journal of Reviewsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Lars Lyberg'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 Lars Lyberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Lyberg more than expected).
This network shows the impact of papers produced by Lars Lyberg. 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 Lars Lyberg. The network helps show where Lars Lyberg may publish in the future.
Co-authorship network of co-authors of Lars Lyberg
This figure shows the co-authorship network connecting the top 25 collaborators of Lars Lyberg.
A scholar is included among the top collaborators of Lars Lyberg 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 Lars Lyberg. Lars Lyberg 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.
Hill, Craig A., Paul P. Biemer, Trent D. Buskirk, et al.. (2020). Big data meets survey science: A collection of innovative methods.13 indexed citations
Kreuter, Frauke, Mick P. Couper, & Lars Lyberg. (2010). The use of paradata to monitor and manage survey data collection. MADOC (University of Mannheim).24 indexed citations
5.
Lynn, Peter, Lilli Japec, & Lars Lyberg. (2006). What's so special about cross-national surveys?. Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). 12. 7–20.13 indexed citations
Cramer, Duncan, Paul P. Biemer, Robert M. Groves, et al.. (1993). Measurement Errors in Surveys. British Journal of Sociology. 44(4). 716–716.7 indexed citations
12.
Tanur, Judith M., Paul P. Biemer, Robert M. Groves, et al.. (1993). Measurement Errors in Surveys.. Contemporary Sociology A Journal of Reviews. 22(4). 621–621.391 indexed citations
13.
Vogel, Frederic A., Paul P. Biemer, Robert M. Groves, et al.. (1992). Measurement Errors in Surveys.. Journal of the American Statistical Association. 87(420). 1245–1245.507 indexed citations breakdown →
14.
Cowan, Charles D., Robert M. Groves, Paul P. Biemer, et al.. (1991). Telephone Survey Methodology.. Journal of the American Statistical Association. 86(413). 251–251.12 indexed citations
15.
Presser, Stanley, Robert M. Groves, Lars Lyberg, et al.. (1990). Telephone Survey Methodology.. Contemporary Sociology A Journal of Reviews. 19(2). 324–324.440 indexed citations breakdown →
16.
Williams, David R., et al.. (1990). Telephone Survey Methodology.. Journal of the Royal Statistical Society Series C (Applied Statistics). 39(2). 264–264.12 indexed citations
17.
Ziegel, Eric R., Robert M. Groves, Paul P. Biemer, et al.. (1990). Survey Errors and Survey Costs. Technometrics. 32(4). 466–466.64 indexed citations
Lyberg, Lars. (1981). Control of the coding operation in statistical investigations : some contributions.4 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.