Jaya Krishnakumar

1.6k citations
44 papers · 930 · h-index 13

Impact in

Papers in

Jaya Krishnakumar

41 papers receiving 875 citations

Peers

Jaya Krishnakumar
Comparison fields: 5 of 116
  • Finance 223
  • Safety Research 111
  • Economics and Econometrics 233
  • Business and International Management 15
  • General Health Professions 168
Replace Ronelle Burger with:
Ronelle Burger South Africa
Ruhi Saith United Kingdom
Stephen D. Younger United States
Prem Sangraula United States
Steven F. Koch South Africa
Jill Luoto United States
Kenneth Harttgen Switzerland
Matthew D. Webb Canada
Christoph Lakner United States
Jad Chaaban Lebanon
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Citations per field
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Citations per year

Countries citing papers authored by Jaya Krishnakumar

Since Specialization
Citations

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

Fields of papers citing papers by Jaya Krishnakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008260
2 2021145
3 200898
4 200785
5 201068
6 198732
7 199725
8 201917
9 201616
10 199716
11 200715
12 201515
13 201414
14 201512
15 201011
16 202110
17
Measuring Welfare: Latent Variable Models for Happiness and Capabilities in the Presence of Unobservable Heterogeneity
20119
18 20089
19 20119
20 20116

About Jaya Krishnakumar

Jaya Krishnakumar is a scholar working on Sociology and Political Science, Economics and Econometrics, Safety Research, Social Psychology and General Economics, Econometrics and Finance, having authored 44 papers that have together received 930 indexed citations. Recurring topics across this work include Income, Poverty, and Inequality (19 papers), Poverty, Education, and Child Welfare (7 papers), Psychological Well-being and Life Satisfaction (6 papers), Agricultural risk and resilience (5 papers), Monetary Policy and Economic Impact (5 papers), Advanced Statistical Methods and Models (3 papers), Fiscal Policy and Economic Growth (3 papers) and Economic theories and models (3 papers). The work is most often cited by research in Finance (223 citations), Safety Research (111 citations), Economics and Econometrics (233 citations), Business and International Management (15 citations) and General Health Professions (168 citations). Jaya Krishnakumar has collaborated with scholars based in Switzerland, United Kingdom and Mexico. Frequent co-authors include Eddy van Doorslaer, Owen O’Donnell, Paola Ballón, William F. Lamb, J. Steinberger, Daniel W. O’Neill, Jefim Vogel, Paul Anand, Elvezio Ronchetti and Pietro Balestra. Their work appears in journals such as Social Indicators Research, Journal of Econometrics, Empirical Economics, World Development and Scientific Reports.

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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