Michael Gavin

1.9k citations
34 papers · 1.0k indexed · h-index 10

Impact in

Papers in

Michael Gavin

29 papers receiving 856 citations

Peers

Michael Gavin
Comparison fields: 5 of 64
  • General Economics, Econometrics and Finance 647
  • Finance 354
  • Economics and Econometrics 811
  • Development 43
  • Accounting 62
Replace Ζsolt Darvas with:
Ζsolt Darvas Hungary
Nina Budina United States
Holger C. Wolf United States
Ernesto Talvi United States
Ethan Ilzetzki United Kingdom
Thomas Osang United States
Mario I. Bléjer United States
Alessandro Prati United States
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Citations per field
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Ζsolt Darvas · 1×
Citations per year

Countries citing papers authored by Michael Gavin

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gavin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997496
2 1989183
3 199779
4 199654
5 199049
6
The World Bank in Historical Perspective
199536
7 199125
8 199925
9 199219
10 199112
11 20147
12 20187
13 20197
14 19866
15 20114
16 20204
17 20153
18 20163
19 20203
20 20123

About Michael Gavin

Michael Gavin is a scholar working on General Economics, Econometrics and Finance, Literature and Literary Theory, Classics, Economics and Econometrics and History, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Digital Humanities and Scholarship (8 papers), Monetary Policy and Economic Impact (7 papers), Economic theories and models (6 papers), Fiscal Policy and Economic Growth (4 papers), Economic Theory and Policy (4 papers), Cultural History and Identity Formation (2 papers), Global Financial Crisis and Policies (2 papers) and Media, Communication, and Education (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (647 citations), Finance (354 citations), Economics and Econometrics (811 citations), Development (43 citations) and Accounting (62 citations). Michael Gavin has collaborated with scholars based in United States and Ireland. Frequent co-authors include Roberto Perotti, Ricardo Hausmann, Dani Rodrik, William D. Savedoff, Carmen Pagés, Miguel Székely and Eduardo Lora. Their work appears in journals such as NBER Macroeconomics Annual, Journal of International Money and Finance, American Economic Review, Historical social research and The Review of English Studies.

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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