Colin O’Reilly

451 citations
38 papers · 262 · h-index 11

Impact in

Papers in

Colin O’Reilly

33 papers receiving 249 citations

Peers

Colin O’Reilly
Comparison fields: 5 of 40
  • Development 20
  • General Economics, Econometrics and Finance 41
  • Economics and Econometrics 106
  • Demography 44
  • Sociology and Political Science 134
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Hugo J. Faría Venezuela
Dimitrios Varvarigos United Kingdom
Phillip Garner United States
John McDermott United States
Ryan A. Compton Canada
Josaphat Kweka United States
Dietmar Meyer Hungary
Christian Eigen‐Zucchi United States
Carlyn Ramlogan‐Dobson United Kingdom
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Citations per year

Countries citing papers authored by Colin O’Reilly

Since Specialization
Citations

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

Fields of papers citing papers by Colin O’Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colin O’Reilly. 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 Colin O’Reilly. The network helps show where Colin O’Reilly may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202233
2 201528
3 201827
4 201819
5 202117
6 202114
7 201514
8 201511
9 201711
10 201410
11 201510
12 20169
13 20167
14 20226
15 20176
16 20206
17 20205
18 20195
19 20153
20
And the IMF Said, Let There Be Data, and There Was Data: Private Capital Stocks in the Eastern Bloc
20182

About Colin O’Reilly

Colin O’Reilly is a scholar working on Sociology and Political Science, Economics and Econometrics, General Economics, Econometrics and Finance, Demography and Information Systems, having authored 38 papers that have together received 262 indexed citations. Recurring topics across this work include Corruption and Economic Development (13 papers), Culture, Economy, and Development Studies (11 papers), Natural Resources and Economic Development (9 papers), Political Conflict and Governance (8 papers), Fiscal Policy and Economic Growth (5 papers), Income, Poverty, and Inequality (5 papers), Economic Growth and Development (4 papers) and International Development and Aid (4 papers). The work is most often cited by research in Development (20 citations), General Economics, Econometrics and Finance (41 citations), Economics and Econometrics (106 citations), Demography (44 citations) and Sociology and Political Science (134 citations). Colin O’Reilly has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Ryan Murphy, Dustin Chambers, Benjamin Powell, Yi Zhang, Aniruddha Mitra, James T. Bang and Kathleen M. Sheehan. Their work appears in journals such as European Journal of Political Economy, Contemporary Economic Policy, Public Choice, Civil Wars and Economica.

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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