Rosa Abraham

441 citations
11 papers · 216 · h-index 6

Impact in

Papers in

Rosa Abraham

10 papers receiving 202 citations

Peers

Rosa Abraham
Comparison fields: 5 of 57
  • Modeling and Simulation 33
  • Economics and Econometrics 122
  • Business and International Management 7
  • Soil Science 31
  • General Health Professions 59
Replace Michael Weber with:
Michael Weber United States
Vellore Arthi United Kingdom
Rocco Zizzamia South Africa
Melanie Khamis United States
Farah Said Pakistan
Alberto Tumino United Kingdom
Marcus Böhme Germany
Wouter van der Wielen Spain
Francesco Salustri Italy
Nandini Krishnan United States
Rosa Abraham relative to Michael Weber United States Michael Weber's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rosa Abraham

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Abraham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Rosa Abraham, 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 Rosa Abraham Line = papers co-authored together Rosa Abraham links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2021122
2 202145
3 201913
4 202213
5 20179
6 20136
7 20135
8 20131
9 20111
10 20251
11 20240

About Rosa Abraham

Rosa Abraham is a scholar working on Economics and Econometrics, Modeling and Simulation, General Health Professions, Global and Planetary Change and General Agricultural and Biological Sciences, having authored 11 papers that have together received 216 indexed citations. Recurring topics across this work include Employment and Welfare Studies (4 papers), COVID-19 Pandemic Impacts (3 papers), Taxation and Compliance Studies (3 papers), Conservation, Biodiversity, and Resource Management (2 papers), COVID-19 epidemiological studies (2 papers), Labor market dynamics and wage inequality (2 papers), Fiscal Policy and Economic Growth (1 paper) and Water resources management and optimization (1 paper). The work is most often cited by research in Modeling and Simulation (33 citations), Economics and Econometrics (122 citations), Business and International Management (7 citations), Soil Science (31 citations) and General Health Professions (59 citations). Rosa Abraham has collaborated with scholars based in India, Switzerland and United Kingdom. Frequent co-authors include Surbhi Kesar, Amit Basole, Rahul Lahoti, Anand Shrivastava, Seema Purushothaman, Soubadra M. Devy and Uppeandra Dhar. Their work appears in journals such as Canadian Journal of Development Studies/Revue canadienne d études du développement, World Development, Review of Income and Wealth, Conservation and Society and Indian Journal of Labour Economics.

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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