Nathan Keyfitz

245 papers receiving 5.5k citations

Nathan Keyfitz's Hit Papers

Introduction to the Mathematics of Population. 1970 · 836 citations
8360+18+37Years since publication250500750

Peers

Nathan Keyfitz
Comparison fields: 5 of 197
  • Demography 2.5k
  • Gender Studies 835
  • Health 594
  • General Health Professions 1.6k
  • Management Science and Operations Research 785
Replace Ansley J. Coale with:
Ansley J. Coale United States
Jacob S. Siegel United States
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Robert W. Fogel United States
Francesco C. Billari Italy
Melinda Mills United Kingdom
Ronald R. Rindfuss United States
Alexia Prskawetz Austria
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Citations per year

Countries citing papers authored by Nathan Keyfitz

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Keyfitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nathan Keyfitz, 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 Nathan Keyfitz Line = papers co-authored together Nathan Keyfitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 288 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Introduction to the Mathematics of Population.
Hit paper breakdown →
1970836
2 2005354
3 1978330
4
Causes of death : life tables for national populations
1972291
5 1981246
6 1985210
7 1972143
8 1996142
9 1971140
10
3. Sampling variance of standardized mortality rates.
1966125
11 1977122
12 1973119
13 1959115
14 1974109
15 1978102
16 199798
17 199793
18 197289
19 196483
20 196680

About Nathan Keyfitz

Nathan Keyfitz is a scholar working on Demography, Sociology and Political Science, Economics and Econometrics, General Health Professions and Management Science and Operations Research, having authored 288 papers that have together received 7.0k indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (56 papers), Global Health Care Issues (17 papers), Demographic Trends and Gender Preferences (11 papers), Economic Growth and Productivity (11 papers), demographic modeling and climate adaptation (10 papers), Census and Population Estimation (10 papers), Health disparities and outcomes (6 papers) and Sustainable Development and Environmental Policy (6 papers). The work is most often cited by research in Demography (2.5k citations), Gender Studies (835 citations), Health (594 citations), General Health Professions (1.6k citations) and Management Science and Operations Research (785 citations). Nathan Keyfitz has collaborated with scholars based in United States, Austria and Canada. Frequent co-authors include Samuel Goldberg, Hal Caswell, Robert Schoen, Samuel H. Preston, Wilhelm Flieger, William H. McNeill, David P. Smith, Barbara Lee Keyfitz, Leo A. Goodman and Thomas W. Pullum. Their work appears in journals such as Journal of the American Statistical Association, Population and Development Review, Population Studies, Demography and Contemporary Sociology A Journal of Reviews.

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.

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