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.
This map shows the geographic impact of Peter Lynn'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 Peter Lynn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Lynn more than expected).
This network shows the impact of papers produced by Peter Lynn. 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 Peter Lynn. The network helps show where Peter Lynn may publish in the future.
Co-authorship network of co-authors of Peter Lynn
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Lynn.
A scholar is included among the top collaborators of Peter Lynn 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 Peter Lynn. Peter Lynn is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Goldstein, Harvey, Peter Lynn, Graciela Muñiz‐Terrera, et al.. (2015). Population sampling in longitudinal suverys. Longitudinal and Life Course Studies. 6(4).11 indexed citations
Lynn, Peter, Annette Jäckle, Stephen P. Jenkins, & Emanuela Sala. (2012). The impact of questioning method on measurement error in panel survey measures of benefit receipt: evidence from a validation study. London School of Economics and Political Science Research Online (London School of Economics and Political Science).1 indexed citations
Jäckle, Annette & Peter Lynn. (2007). Dependent interviewing and seam effects in work history data. Journal of Official Statistics. 23(4). 529–551.14 indexed citations
17.
Lynn, Peter, et al.. (2005). A review of methodological research pertinent to longitudinal survey design and data collection. Econstor (Econstor).32 indexed citations
18.
Lynn, Peter, Sabine Häder, Siegfried Gabler, & Seppo Laaksonen. (2004). Methods for achieving equivalence of samples in cross-national surveys: the European Social Survey experience. Journal of Official Statistics. 23(1). 107–124.53 indexed citations
19.
Lynn, Peter, Annette Jäckle, Stephen P. Jenkins, & Emanuela Sala. (2004). The effects of dependent interviewing on responses to questions on income sources. Journal of Official Statistics. 22(3). 357–384.20 indexed citations
20.
Lynn, Peter. (1990). FACTORS AFFECTING THE ACCIDENT LIABILITY OF MOTORCYCLISTS - AN ANALYSIS OF SURVEY DATA. OpenGrey (Institut de l'Information Scientifique et Technique).2 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.