Diva Dhar
Impact in
- Gender Studies top 5%
- Gender, Labor, and Family Dynamics
- Gender Politics and Representation
- Demographic Trends and Gender Preferences
- Gender Roles and Identity Studies
- Safety Research top 5%
- Poverty, Education, and Child Welfare
Papers in
-
- Gender, Labor, and Family Dynamics 4
- Demographic Trends and Gender Preferences 2
- Gender Politics and Representation 2
-
- Poverty, Education, and Child Welfare 7
- Co-authors
- Tarun Jain (6 shared papers)Seema Jayachandran (5 shared papers)Kanika Mahajan (2 shared papers)Farzana Afridi (2 shared papers)Michael Kevane (1 shared paper)Anita Raj (1 shared paper)Aishwarya Lakshmi Ratan (1 shared paper)
- Journals
- Economic Development and Cultural Change (2 papers)Feminist Economics (1 paper)The Journal of Development Studies (1 paper)PLoS ONE (1 paper)American Economic Review (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Diva Dhar
9 papers receiving 188 citations
Diva Dhar's Hit Papers
Peers
Comparison fields: 5 of 52
- Gender Studies 103
- Safety Research 64
- Health 16
- Demography 25
- Sociology and Political Science 64
Countries citing papers authored by Diva Dhar
This map shows the geographic impact of Diva Dhar'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 Diva Dhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diva Dhar more than expected).
Fields of papers citing papers by Diva Dhar
This network shows the impact of papers produced by Diva Dhar. 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 Diva Dhar. The network helps show where Diva Dhar may publish in the future.
Co-authors
The 7 scholars most cited alongside Diva Dhar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Reshaping Adolescents' Gender Attitudes: Evidence from a School-Based Experiment in India Hit paper breakdown → | 2022 | 108 |
| 2 | 2018 | 73 | |
| 3 | 2015 | 8 | |
| 4 | 2018 | 5 | |
| 5 | 2024 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2013 | 1 | |
| 9 | Intergenerational Transmission of Gender Attitudes: Evidence from India (WP-15-26) | 2015 | 1 |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2021 | 0 |
About Diva Dhar
Diva Dhar is a scholar working on Gender Studies, Safety Research, Demography, Sociology and Political Science and Economics and Econometrics, having authored 12 papers that have together received 204 indexed citations. Recurring topics across this work include Poverty, Education, and Child Welfare (7 papers), Gender, Labor, and Family Dynamics (4 papers), Demographic Trends and Gender Preferences (2 papers), School Choice and Performance (2 papers), Culture, Economy, and Development Studies (2 papers), Global Educational Reforms and Inequalities (2 papers), Gender Politics and Representation (2 papers) and Global Health and Surgery (1 paper). The work is most often cited by research in Gender Studies (103 citations), Safety Research (64 citations), Health (16 citations), Demography (25 citations) and Sociology and Political Science (64 citations). Diva Dhar has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Tarun Jain, Seema Jayachandran, Kanika Mahajan, Farzana Afridi, Michael Kevane, Anita Raj and Aishwarya Lakshmi Ratan. Their work appears in journals such as Economic Development and Cultural Change, Feminist Economics, The Journal of Development Studies, PLoS ONE and American Economic 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.