Tim Dyson

4.8k citations
54 papers · 2.9k · 1 hit paper · h-index 21

Impact in

    • Demographic Trends and Gender Preferences
    • Gender, Labor, and Family Dynamics
  • Demography top 0.5%
    • Family Dynamics and Relationships
    • Insurance, Mortality, Demography, Risk Management

Papers in

Tim Dyson

52 papers receiving 2.4k citations

Tim Dyson's Hit Papers

On Kinship Structure, Female Autonomy, and Demographic Behavior in India 1983 · 1.1k citations
1.1k0+14+28Years since publication2505007501000

Peers

Tim Dyson
Comparison fields: 5 of 141
  • Gender Studies 1.2k
  • Demography 654
  • Pediatrics, Perinatology and Child Health 830
  • Safety Research 398
  • Health 180
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Tim Dyson relative to David Lam United States David Lam's profile →
Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Tim Dyson

Since Specialization
Citations

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

Fields of papers citing papers by Tim Dyson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
On Kinship Structure, Female Autonomy, and Demographic Behavior in India
Hit paper breakdown →
19831073
2 1998241
3 1985176
4 2011157
5 2010137
6 1999134
7 199687
8 200766
9 199666
10 201265
11 199164
12 200360
13 200148
14 200542
15 199139
16 200132
17 199432
18 199023
19 201322
20
Vital Rates in India 1961-1981
198421

About Tim Dyson

Tim Dyson is a scholar working on Sociology and Political Science, Gender Studies, General Health Professions, Economics and Econometrics and Demography, having authored 54 papers that have together received 2.9k indexed citations. Recurring topics across this work include Income, Poverty, and Inequality (10 papers), Demographic Trends and Gender Preferences (9 papers), Insurance, Mortality, Demography, Risk Management (9 papers), Child Nutrition and Water Access (5 papers), Migration and Labor Dynamics (5 papers), Global Maternal and Child Health (4 papers), Social and Economic Development in India (4 papers) and Health and Conflict Studies (4 papers). The work is most often cited by research in Gender Studies (1.2k citations), Demography (654 citations), Pediatrics, Perinatology and Child Health (830 citations), Safety Research (398 citations) and Health (180 citations). Tim Dyson has collaborated with scholars based in United Kingdom, United States and Zambia. Frequent co-authors include Mick Moore, Mike Murphy, John C. Caldwell, Gavin W. Jones, Robert M. Douglas, Rennie M. D’Souza, John Bongaarts, Máire Ní Bhrolcháin, Susan Watkins and Robert Cassen. Their work appears in journals such as Population and Development Review, Population Studies, The Indian Economic & Social History Review, IDS Bulletin 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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