Paul O’Reilly

1.1k citations
25 papers · 531 · h-index 13

Impact in

Papers in

Paul O’Reilly

23 papers receiving 506 citations

Peers

Paul O’Reilly
Comparison fields: 5 of 75
  • Management of Technology and Innovation 230
  • Strategy and Management 237
  • Business and International Management 27
  • Statistics, Probability and Uncertainty 53
  • Economics and Econometrics 148
Replace Alessandro Maffioli with:
Alessandro Maffioli United States
Samuel Garrett-Jones Australia
Patrick Rondé France
Solmaz Filiz Karabağ Sweden
Lorenzo Cassi France
Barend van der Meulen Netherlands
Léa Velho Brazil
Remì Barrè France
Venni V. Krishna Australia
Frank Siedlok New Zealand
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Citations per field
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Alessandro Maffioli · 1×
Citations per year

Countries citing papers authored by Paul O’Reilly

Since Specialization
Citations

This map shows the geographic impact of Paul 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 Paul 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 Paul O’Reilly more than expected).

Fields of papers citing papers by Paul O’Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Paul 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 Paul O’Reilly Line = papers co-authored together Paul 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201887
2 201275
3 201266
4 200136
5 201533
6 201330
7 201725
8 201623
9 201722
10 201721
11 201520
12 199913
13 201812
14 201612
15 202112
16 201811
17 202011
18 20177
19 20204
20 20174

About Paul O’Reilly

Paul O’Reilly is a scholar working on Economics and Econometrics, Management of Technology and Innovation, Strategy and Management, Nature and Landscape Conservation and Statistics, Probability and Uncertainty, having authored 25 papers that have together received 531 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (7 papers), Entrepreneurship Studies and Influences (6 papers), Innovation Policy and R&D (5 papers), scientometrics and bibliometrics research (4 papers), Economic and Environmental Valuation (4 papers), Fish Ecology and Management Studies (4 papers), Marine and fisheries research (3 papers) and Wildlife Ecology and Conservation (3 papers). The work is most often cited by research in Management of Technology and Innovation (230 citations), Strategy and Management (237 citations), Business and International Management (27 citations), Statistics, Probability and Uncertainty (53 citations) and Economics and Econometrics (148 citations). Paul O’Reilly has collaborated with scholars based in Ireland, France and New Zealand. Frequent co-authors include James A. Cunningham, Vincent Mangematin, Conor O’Kane, James Cunningham, Stephen Hynes, Maeve Henchion, Anuoluwapo Collins, John Curtis, Gianluca Grilli and Jing A. Zhang. Their work appears in journals such as The Journal of Technology Transfer, Ecological Economics, Long Range Planning, Research-Technology Management and Journal of the Optical Society of America A.

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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