Daniel E. O’Leary

14.8k citations
269 papers · 10.1k · 4 hit papers · h-index 44

Impact in

Papers in

Daniel E. O’Leary

262 papers receiving 9.4k citations

Daniel E. O’Leary's Hit Papers

Artificial Intelligence and Big Data 2013 · 293 citations
2930+10+20Years since publication2505007501000

Peers

Daniel E. O’Leary
Comparison fields: 5 of 200
  • Management Information Systems 1.6k
  • Information Systems and Management 441
  • Health Informatics 78
  • Cardiology and Cardiovascular Medicine 1.2k
  • Information Systems 1.3k
Replace Guy Paré with:
Guy Paré Canada
Dursun Delen United States
Robert Feldt Sweden
Sanjay Misra Nigeria
Victor Chang United Kingdom
Mark A. Musen United States
Yair Levy Israel
A. A. Zaidan Malaysia
Lucila Ohno‐Machado United States
Lin Wang China
Daniel E. O’Leary relative to Guy Paré Canada Guy Paré's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel E. O’Leary

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. O’Leary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel E. O’Leary, 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 Daniel E. O’Leary Line = papers co-authored together Daniel E. O’Leary links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 269 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical Correlates of White Matter Findings on Cranial Magnetic Resonance Imaging of 3301 Elderly People
Hit paper breakdown →
19961181
2
The Outbreak of West Nile Virus Infection in the New York City Area in 1999
Hit paper breakdown →
2001961
3
Comparison of Novel Risk Markers for Improvement in Cardiovascular Risk Assessment in Intermediate-Risk Individuals
Hit paper breakdown →
2012772
4 2000333
5
Artificial Intelligence and Big Data
Hit paper breakdown →
2013293
6 2014264
7 1996259
8 2009249
9 1994229
10 2002227
11 1997222
12 1995210
13 1998198
14 2017187
15 1998174
16 1993139
17 2014132
18 1998118
19 1987113
20 1993113

About Daniel E. O’Leary

Daniel E. O’Leary is a scholar working on Artificial Intelligence, Management Information Systems, Information Systems, Management Science and Operations Research and Sociology and Political Science, having authored 269 papers that have together received 10.1k indexed citations. Recurring topics across this work include Big Data and Business Intelligence (42 papers), Semantic Web and Ontologies (28 papers), Blockchain Technology Applications and Security (14 papers), Business Process Modeling and Analysis (13 papers), AI-based Problem Solving and Planning (13 papers), Auditing, Earnings Management, Governance (12 papers), ERP Systems Implementation and Impact (12 papers) and Digital Marketing and Social Media (12 papers). The work is most often cited by research in Management Information Systems (1.6k citations), Information Systems and Management (441 citations), Health Informatics (78 citations), Cardiology and Cardiovascular Medicine (1.2k citations) and Information Systems (1.3k citations). Daniel E. O’Leary has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Gregory L. Burke, Teri A. Manolio, W. T. Longstreth, Linda P. Fried, Charles A. Jungreis, Nick Bryan, Paul Enright, Alice M. Arnold, Robert M. O’Keefe and Christopher T. Sibley. Their work appears in journals such as Intelligent systems in accounting, finance and management, IEEE Intelligent Systems, Decision Support Systems, International Journal of Accounting Information Systems and Journal of Information Systems.

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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