William Lavely

1.0k citations
31 papers · 616 · h-index 12

Impact in

Papers in

William Lavely

30 papers receiving 496 citations

Peers

William Lavely
Comparison fields: 5 of 64
  • Gender Studies 351
  • Demography 244
  • Pediatrics, Perinatology and Child Health 131
  • Sociology and Political Science 303
  • Safety Research 37
Replace C. Alison McIntosh with:
C. Alison McIntosh United States
Alice Goldstein United States
Delia Davin United Kingdom
Kevin McQuillan Canada
Lee‐Jay Cho South Korea
Rachel G. Fuchs United States
Susan De Vos United States
Jean‐Paul Sardon France
Jan Kok Netherlands
Jason L. Finkle United States
William Lavely relative to C. Alison McIntosh United States C. Alison McIntosh's profile →
Citations per field
00.5×
C. Alison McIntosh · 1×
Citations per year

Countries citing papers authored by William Lavely

Since Specialization
Citations

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

Fields of papers citing papers by William Lavely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside William Lavely, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Lavely Line = papers co-authored together William Lavely links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990100
2 200378
3 199068
4 200168
5 199847
6 199245
7 198826
8 200225
9 199023
10 199516
11 198616
12 198411
13 200710
14 199010
15 19929
16 19899
17 19889
18 19778
19 19847
20 19826

About William Lavely

William Lavely is a scholar working on Gender Studies, Sociology and Political Science, Political Science and International Relations, Economics and Econometrics and Pediatrics, Perinatology and Child Health, having authored 31 papers that have together received 616 indexed citations. Recurring topics across this work include Demographic Trends and Gender Preferences (19 papers), Intergenerational Family Dynamics and Caregiving (7 papers), China's Socioeconomic Reforms and Governance (6 papers), Historical Economic and Social Studies (6 papers), Chinese history and philosophy (5 papers), Global Maternal and Child Health (4 papers), Vietnamese History and Culture Studies (3 papers) and Historical Studies on Reproduction, Gender, Health, and Societal Changes (3 papers). The work is most often cited by research in Gender Studies (351 citations), Demography (244 citations), Pediatrics, Perinatology and Child Health (131 citations), Sociology and Political Science (303 citations) and Safety Research (37 citations). William Lavely has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Ronald Freedman, Jianghong Li, Xiao Zhenyu, Bohua Li, R. Bin Wong, Xinhua S. Ren, Akira Hayami, Feng Wang, James Lee and William M. Mason. Their work appears in journals such as Population Studies, The Journal of Asian Studies, The China Quarterly, Population and Development Review and Demography.

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.

Explore authors with similar magnitude of impact