Global Development Network
Impact in
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- Global trade and economics
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- Fiscal Policy and Economic Growth
- Economic Growth and Productivity
- Firm Innovation and Growth
- Energy, Environment, Economic Growth
- Labor market dynamics and wage inequality
Papers in
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- Labor market dynamics and wage inequality 24
- Top scholars
- Giuseppe NicolettiStéfano ScarpettaHoward WhiteMichael ZimmermannNeil Pakenham‐WalshFrederick BukachiMilan VodopivecGeorge Mavrotas
- Journals
- Campbell Systematic Reviews (10 papers)Journal of Development Effectiveness (6 papers)Thyroid (4 papers)PLoS ONE (3 papers)Maternal and Child Nutrition (3 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Global Development Network
351 papers receiving 7.2k citations
Peers
Comparison fields: 5 of 219
- General Economics, Econometrics and Finance 556
- Economics and Econometrics 1.7k
- Business and International Management 100
- Development 175
- Endocrinology, Diabetes and Metabolism 507
Countries citing scholars working at Global Development Network
This map shows the geographic impact of research produced by authors working at Global Development Network. 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 papers produced at Global Development Network with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Global Development Network more than expected).
Fields of papers published by authors at Global Development Network
This network shows the impact of papers affiliated with Global Development Network at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Global Development Network at the time of their publication.
About Global Development Network
In recent decades, authors affiliated with Global Development Network have published 492 papers, which have received a total of 8.1k indexed citations . Scholars at this organization have produced 1 paper in Medical Terminology, 82 papers in Economics and Econometrics, 11 papers in Development, 6 papers in Business and International Management and 23 papers in General Economics, Econometrics and Finance on the topics of Labor market dynamics and wage inequality (24 papers), Thyroid Disorders and Treatments (19 papers), Poverty, Education, and Child Welfare (18 papers), Employment and Welfare Studies (16 papers), Child Nutrition and Water Access (15 papers), Global trade and economics (13 papers), International Development and Aid (11 papers) and Agricultural risk and resilience (9 papers). Their work is cited by papers focused on General Economics, Econometrics and Finance (556 citations), Economics and Econometrics (1.7k citations), Business and International Management (100 citations), Development (175 citations) and Endocrinology, Diabetes and Metabolism (507 citations). Authors at Global Development Network collaborate with scholars in India, United States and United Kingdom and have published in prestigious journals including Campbell Systematic Reviews, Journal of Development Effectiveness, Thyroid, PLoS ONE and Maternal and Child Nutrition. Some of Global Development Network's most productive authors include Giuseppe Nicoletti, Stéfano Scarpetta, Howard White, Michael Zimmermann, Neil Pakenham‐Walsh, Frederick Bukachi, Milan Vodopivec, George Mavrotas, Maria Andersson and Lyn Squire.
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.