Lucky M. Tedrow

938 citations
29 papers · 531 indexed · h-index 11
Topics
Insurance, Mortality, Demography, Risk Management (7 papers)Global Health Care Issues (6 papers)Employment and Welfare Studies (4 papers)
Partner nations
United StatesCanada

In The Last Decade

Lucky M. Tedrow

25 papers receiving 479 citations

Peers

Lucky M. Tedrow
Comparison fields: 5 of 79
  • Sociology and Political Science 242
  • Demography 210
  • General Health Professions 140
  • Gender Studies 131
  • Health 86
Replace Akbar Aghajanian with:
Akbar Aghajanian United States
Radha Jagannathan United States
Dov Friedlander Israel
Pamela Monroe United States
Leslie Richards United States
Jesús J. Sánchez‐Barricarte Spain
Caroline Sten Hartnett United States
Diana Worts Canada
Bali Ram Canada
Kate H. Choi Canada
Lucky M. Tedrow relative to Akbar Aghajanian United States Akbar Aghajanian's profile →
Citations per field
00.5×1.5×2.2×
Akbar Aghajanian · 1×
Citations per year

Countries citing papers authored by Lucky M. Tedrow

Since Specialization
Citations

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

Fields of papers citing papers by Lucky M. Tedrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucky M. Tedrow

This figure shows the co-authorship network connecting the top 25 collaborators of Lucky M. Tedrow. A scholar is included among the top collaborators of Lucky M. Tedrow 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 Lucky M. Tedrow. Lucky M. Tedrow 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 0
2 18
3 23
4 9
5 19
6 11
7 3
8 22
9 35
10 199
11 8
12 37
13
Improving the measurement of temporal change in regression models used for county population estimates.
10
14 7
15 0
16 8
17 27
18 1
19 4
20 7

About Lucky M. Tedrow

Lucky M. Tedrow is a scholar working on Demography, General Health Professions and Gender Studies, having authored 29 papers that have together received 531 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (7 papers), Global Health Care Issues (6 papers) and Employment and Welfare Studies (4 papers). The work is most often cited by research in Demography (210 citations), Gender Studies (131 citations) and Health (86 citations). Lucky M. Tedrow has collaborated with scholars based in United States and Canada. Frequent co-authors include Jay D. Teachman, Kyle Crowder, David A. Swanson, Eldon R. Mahoney, Renata Forste, Koray Tanfer, Jeff Tayman, Jack W. Baker, Douglas S. Massey and Thomas W. Pullum. Their work appears in journals such as Journal of Marriage and the Family, Demography and Public Opinion Quarterly.

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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