Jeffrey M. Timberlake

1.8k citations
35 papers · 1.3k indexed · h-index 17

Jeffrey M. Timberlake

35 papers receiving 1.2k citations

Peers

Jeffrey M. Timberlake
Comparison fields: 5 of 85
  • Sociology and Political Science 988
  • Demography 444
  • Gender Studies 342
  • General Health Professions 218
  • Economics and Econometrics 179
Replace H.A.G. de Valk with:
H.A.G. de Valk Netherlands
Claudia Geist United States
Johannes Huinink Germany
Anne Solaz France
Roderic Beaujot Canada
Beth Anne Shelton United States
Lorne Tepperman Canada
Rogelio Sáenz United States
Man‐Yee Kan United Kingdom
Ariane Pailhé France
Jeffrey M. Timberlake relative to H.A.G. de Valk Netherlands H.A.G. de Valk's profile →
Citations per field
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H.A.G. de Valk · 1×
Citations per year

Countries citing papers authored by Jeffrey M. Timberlake

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey M. Timberlake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey M. Timberlake. 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 Jeffrey M. Timberlake. The network helps show where Jeffrey M. Timberlake may publish in the future.

Co-authorship network of co-authors of Jeffrey M. Timberlake

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey M. Timberlake. A scholar is included among the top collaborators of Jeffrey M. Timberlake 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 Jeffrey M. Timberlake. Jeffrey M. Timberlake 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
#WorkIndexed citations
1 4
2 3
3 5
4 76
5 18
6 18
7 7
8 5
9 12
10 10
11 34
12
Are Latinos Becoming White? Determinants of Latinos Racial Self-Identification in the U.S.
4
13 88
14 7
15 361
16 7
17 131
18
Racial and Ethnic Inequality in Childhood Exposure to Neighborhood Poverty and Affluence.
5
19 23
20 16

About Jeffrey M. Timberlake

Jeffrey M. Timberlake is a scholar working on Public Administration, Health and Sociology and Political Science, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Urban, Neighborhood, and Segregation Studies (15 papers), Housing Market and Economics (7 papers) and Homelessness and Social Issues (7 papers). The work is most often cited by research in Demography (444 citations), Gender Studies (342 citations) and Sociology and Political Science (988 citations). Jeffrey M. Timberlake has collaborated with scholars based in United States, Czechia and India. Frequent co-authors include Patrick Heuveline, John Iceland, Frank F. Furstenberg, Kenneth A. Rasinski, Rhys H. Williams, Gregory Sharp, Sarah Beth Estes, Adam Mayer, Junia Howell and Hongxing Yang. Their work appears in journals such as Contemporary Sociology A Journal of Reviews, Journal of Marriage and the Family and Population and Development Review.

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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