P. N. Mari Bhat
- Pediatrics, Perinatology and Child Health top 2%
- Gender Studies top 0.5%
- Demography top 1%
- Sociology and Political Science top 10%
- General Health Professions top 10%
- Co-authors
- Mónica Das GuptaA.J. ZavierShiva S. HalliSamuel H. PrestonTim DysonShobini RajanKannan NavaneethamT. V. Sekher
- Topics
- Global Maternal and Child Health (9 papers)Demographic Trends and Gender Preferences (9 papers)Insurance, Mortality, Demography, Risk Management (8 papers)
In The Last Decade
P. N. Mari Bhat
17 papers receiving 733 citations
Peers
Comparison fields: 5 of 68
- Pediatrics, Perinatology and Child Health 626
- Gender Studies 625
- Demography 316
- Sociology and Political Science 174
- General Health Professions 116
Countries citing papers authored by P. N. Mari Bhat
This map shows the geographic impact of P. N. Mari Bhat'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 P. N. Mari Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. N. Mari Bhat more than expected).
Fields of papers citing papers by P. N. Mari Bhat
This network shows the impact of papers produced by P. N. Mari Bhat. 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 P. N. Mari Bhat. The network helps show where P. N. Mari Bhat may publish in the future.
Co-authorship network of co-authors of P. N. Mari Bhat
This figure shows the co-authorship network connecting the top 25 collaborators of P. N. Mari Bhat. A scholar is included among the top collaborators of P. N. Mari Bhat 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 P. N. Mari Bhat. P. N. Mari Bhat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Findings of National Family Health Survey Regional Analysis | 12 |
| 2 | From 'Fertility Control' to 'Gender Control'? : Evidences of Daughter Discrimination in Rural South India | 2 |
| 3 | 110 | |
| 4 | 120 | |
| 5 | 53 | |
| 6 | 27 | |
| 7 | 48 | |
| 8 | 25 | |
| 9 | 79 | |
| 10 | 11 | |
| 11 | Mortality and Fertility Transition in Kerala, A Historical Investigation | 2 |
| 12 | 259 | |
| 13 | 31 | |
| 14 | 23 | |
| 15 | 23 | |
| 16 | Vital Rates in India 1961-1981 | 21 |
| 17 | 18 | |
| 18 | 1 |
About P. N. Mari Bhat
P. N. Mari Bhat is a scholar working on Gender Studies, Demography and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 865 indexed citations. Recurring topics across this work include Global Maternal and Child Health (9 papers), Demographic Trends and Gender Preferences (9 papers) and Insurance, Mortality, Demography, Risk Management (8 papers). The work is most often cited by research in Gender Studies (625 citations), Pediatrics, Perinatology and Child Health (626 citations) and Demography (316 citations). P. N. Mari Bhat has collaborated with scholars based in India, Slovakia and Canada. Frequent co-authors include Mónica Das Gupta, A.J. Zavier, Shiva S. Halli, Samuel H. Preston, Tim Dyson, Shobini Rajan, Kannan Navaneetham and T. V. Sekher. Their work appears in journals such as World Development, Population and Development Review and Demography.
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.