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.
Differential Mortality in the United States: A Study in Socioeconomic Epidemiology.
1975763 citationsEvelyn M. Kitagawa, Philip M. Hauser et al.profile →
Differential Mortality in the United States A Study in Socioeconomic Epidemiology
1973706 citationsEvelyn M. Kitagawa, Philip M. HauserDigitalGeorgetown (Georgetown University Library)profile →
Citations per year, relative to Philip M. Hauser Philip M. Hauser (= 1×)
peers
Edward G. Stockwell
Countries citing papers authored by Philip M. Hauser
Since
Specialization
Citations
This map shows the geographic impact of Philip M. Hauser'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 Philip M. Hauser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip M. Hauser more than expected).
Fields of papers citing papers by Philip M. Hauser
This network shows the impact of papers produced by Philip M. Hauser. 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 Philip M. Hauser. The network helps show where Philip M. Hauser may publish in the future.
Co-authorship network of co-authors of Philip M. Hauser
This figure shows the co-authorship network connecting the top 25 collaborators of Philip M. Hauser.
A scholar is included among the top collaborators of Philip M. Hauser 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 Philip M. Hauser. Philip M. Hauser is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hauser, Philip M. & Leo F. Schnore. (1976). Estudos de urbanização.3 indexed citations
4.
Hauser, Philip M.. (1975). Political Actionism in the University.. Daedalus.3 indexed citations
5.
Hauser, Philip M.. (1974). The measurement of labour utilisation.29 indexed citations
6.
Kitagawa, Evelyn M. & Philip M. Hauser. (1973). Differential Mortality in the United States A Study in Socioeconomic Epidemiology. DigitalGeorgetown (Georgetown University Library).706 indexed citations breakdown →
7.
Hauser, Philip M.. (1973). Statistics and Politics. The American Statistician. 27(2). 68–71.13 indexed citations
8.
Hauser, Philip M.. (1972). Population Problems and Their Application to Education..
9.
Farley, Reynolds, Paul Williams, Norman B. Ryder, et al.. (1970). Fertility among Urban Blacks. The Milbank Memorial Fund Quarterly. 48(2). 183–183.17 indexed citations
Hauser, Philip M.. (1961). Urbanization in Latin America : proceedings of a seminar jointly sponsored by the Bureau of Social Affairs of the United Nations, the Economic Commission for Latin America, and Unesco (in co-operation with the International Labour Organisation and the Organization of American States) on urbanization problems in Latin America, Santiago (Chile), 6 to 18 July 1959. UNESCO eBooks.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.