Jyotsna Jalan

24 papers receiving 1.9k citations

Peers

Jyotsna Jalan
Comparison fields: 5 of 87
  • Safety Research 917
  • Soil Science 777
  • Economics and Econometrics 764
  • Nutrition and Dietetics 391
  • Sociology and Political Science 1.1k
Replace Raghav Gaiha with:
Raghav Gaiha India
Bob Baulch United Kingdom
Margaret Grosh United States
Joachim De Weerdt Belgium
Dean Jolliffe United States
David Stifel United States
Rachel Sabates‐Wheeler United Kingdom
Asep Suryahadi Australia
María Emma Santos Argentina
Dominique van de Walle United States
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Citations per field
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Citations per year

Countries citing papers authored by Jyotsna Jalan

Since Specialization
Citations

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

Fields of papers citing papers by Jyotsna Jalan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Jyotsna Jalan, 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 Jyotsna Jalan Line = papers co-authored together Jyotsna Jalan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002391
2 2002338
3 2002315
4 2000245
5 1998188
6 2007179
7 1998111
8 2001101
9 199982
10 199963
11 200946
12 199845
13 199644
14 199942
15 200125
16 199924
17 199919
18 202017
19 199916
20 199913

About Jyotsna Jalan

Jyotsna Jalan is a scholar working on Safety Research, Sociology and Political Science, Soil Science, Political Science and International Relations and Economics and Econometrics, having authored 24 papers that have together received 2.3k indexed citations. Recurring topics across this work include Poverty, Education, and Child Welfare (14 papers), Income, Poverty, and Inequality (11 papers), Agricultural risk and resilience (7 papers), China's Socioeconomic Reforms and Governance (6 papers), Child Nutrition and Water Access (4 papers), Water resources management and optimization (3 papers), Housing Market and Economics (2 papers) and Advanced Causal Inference Techniques (2 papers). The work is most often cited by research in Safety Research (917 citations), Soil Science (777 citations), Economics and Econometrics (764 citations), Nutrition and Dietetics (391 citations) and Sociology and Political Science (1.1k citations). Jyotsna Jalan has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Martin Ravallion, E. Somanathan, Asep Suryahadi, Shubham Chaudhuri, Karla Hoff, Francisco Oteiza, Orazio Attanasio and Ingvild Almås. Their work appears in journals such as Journal of Development Economics, Journal of Comparative Economics, The Journal of Development Studies, Economics Letters and Journal of Applied Econometrics.

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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