Philip O’Reilly

2.1k citations
96 papers · 1.6k · 1 hit paper · h-index 18

Impact in

Papers in

Philip O’Reilly

91 papers receiving 1.4k citations

Philip O’Reilly's Hit Papers

Conceptualizing Digital Transformation in Business Organizations: A Systematic Review of Literature 2017 · 306 citations
3060+3+6Years since publication100200300

Peers

Philip O’Reilly
Comparison fields: 5 of 145
  • Information Systems and Management 289
  • Management Information Systems 340
  • Computer Science Applications 145
  • Strategy and Management 323
  • Communication 143
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Robert C. Nickerson United States
Markus Bick Germany
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Citations per year

Countries citing papers authored by Philip O’Reilly

Since Specialization
Citations

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

Fields of papers citing papers by Philip O’Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philip 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 Philip O’Reilly Line = papers co-authored together Philip 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 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Conceptualizing Digital Transformation in Business Organizations: A Systematic Review of Literature
Hit paper breakdown →
2017306
2 2012119
3 2012101
4 200988
5 202074
6 201654
7 199953
8 200952
9 202048
10 200540
11 201036
12 201435
13
New kid on the block: a strategic archetypes approach to understanding the Blockchain
201632
14 196428
15 201727
16 201223
17 202022
18 200922
19 197816
20 201716

About Philip O’Reilly

Philip O’Reilly is a scholar working on Strategy and Management, Management Information Systems, Information Systems and Management, Sociology and Political Science and Artificial Intelligence, having authored 96 papers that have together received 1.6k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (22 papers), Digital Platforms and Economics (14 papers), Knowledge Management and Sharing (12 papers), Digital Marketing and Social Media (11 papers), Innovation and Knowledge Management (11 papers), Business Strategy and Innovation (10 papers), FinTech, Crowdfunding, Digital Finance (9 papers) and Sharing Economy and Platforms (6 papers). The work is most often cited by research in Information Systems and Management (289 citations), Management Information Systems (340 citations), Computer Science Applications (145 citations), Strategy and Management (323 citations) and Communication (143 citations). Philip O’Reilly has collaborated with scholars based in Ireland, United States and Australia. Frequent co-authors include Audrey Grace, Patrick Finnegan, Aidan Duane, Joseph Feller, Pavel A. Andreev, Jeremy Hayes, Rob Gleasure, John McAvoy, John O’Donoghue and Kevin O’Leary. Their work appears in journals such as Journal of the Association for Information Systems, Veterinary Record, Electronic Markets, Journal of Decision System and Mathematics and Computers in Simulation.

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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