Daniel E. O’Leary

14.7k citations
269 papers · 10.0k indexed · 4 hit papers · h-index 42

Daniel E. O’Leary

261 papers receiving 9.4k citations

Hit Papers

Artificial Intelligence and Big Data29119962026200620162505007501000

Peers

Daniel E. O’Leary
Comparison fields: 5 of 204
  • Management Information Systems 1.6k
  • Cardiology and Cardiovascular Medicine 2.0k
  • Information Systems and Management 439
  • Information Systems 1.3k
  • Health Informatics 79
Replace Lucila Ohno‐Machado with:
Lucila Ohno‐Machado United States
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Daniel E. O’Leary relative to Lucila Ohno‐Machado United States Lucila Ohno‐Machado'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-authorship network

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
#Work
1 20244
2 20232
3 20232
4
Monitoring and Mining Digital Media for Brand and Reputation Information
20163
5
Social and Hashtag Commerce: “Order by Tweet”
20161
6 2014260
7
Exploiting Big Data from Mobile Device Sensor-Based Apps: Challenges and Benefits
201330
8
Driving Innovation and Knowledge Management Using Crowdsourcing
20133
9
HCC implications for the procurement process
20061
10 20002
11
Enterprise Resource Planning Systems
2000109
12 20008
13 19984
14
Expert Opinion: Developing Multiple-Agent Systems is More Than Top-Down vs. Bottom-Up.
19981
15
Integration of intelligent technologies into conventional information systems: key issues, opportunities and potential pitfalls
19931
16
Audit and Security Issues with Expert Systems
19920
17
Expert Systems in Finance
199230
18
Design, development and validation of expert systems: a survey of developers
199120
19
The use of artificial intelligence in accounting
19877
20 19832

About Daniel E. O’Leary

Daniel E. O’Leary is a scholar working on Management Information Systems, Health Informatics and Management Science and Operations Research, having authored 269 papers that have together received 10.0k 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), AI-based Problem Solving and Planning (13 papers), Business Process Modeling and Analysis (13 papers), ERP Systems Implementation and Impact (12 papers), Auditing, Earnings Management, Governance (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), Cardiology and Cardiovascular Medicine (2.0k citations) and Information Systems and Management (439 citations). Daniel E. O’Leary has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Gregory L. Burke, Teri A. Manolio, W. T. Longstreth, Alice M. Arnold, Paul Enright, Charles A. Jungreis, Linda P. Fried, Nick Bryan, J. Jeffrey Carr and Robert M. O’Keefe. 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 Expert Systems with Applications.

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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