World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
9453
World Ranking
7878
National Ranking
3406

Social Sciences and Humanities

D-Index
41
Citations
9203
World Ranking
4954
National Ranking
2347

Research.com Recognitions

  • 1947 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Daniel E. O'Leary is affiliated with the University of Southern California in the United States. Their research spans interdisciplinary fields, primarily focusing on Medicine and Computer Science. Their work intersects subfields such as Artificial Intelligence, Management Information Systems, Information Systems, Oncology, and Dermatology.

O'Leary has contributed to various topics, including:

  • Big Data and Business Intelligence
  • Blockchain Technology Applications and Security
  • Cutaneous lymphoproliferative disorders research
  • Topic Modeling
  • Hematopoietic Stem Cell Transplantation
  • Lymphoma Diagnosis and Treatment
  • CAR-T cell therapy research

Frequent publication venues for O'Leary include:

  • SSRN Electronic Journal
  • Intelligent systems in accounting, finance and management/Intelligent systems in accounting, finance & management
  • IEEE Intelligent Systems
  • Transplantation and Cellular Therapy
  • Blood

The scientist's recent papers illustrate a focus on systems, technologies, and medical applications.

  • "Evolving Information Systems and Technology Research Issues for COVID-19 and Other Pandemics" (2020), published in Journal of Organizational Computing and Electronic Commerce
  • "A Google-Wikipedia-Twitter Model as a Leading Indicator of the Numbers of Coronavirus Deaths" (2020), published in Intelligent systems in accounting, finance and management/Intelligent systems in accounting, finance & management

O'Leary has collaborated frequently with colleagues including Amrita Goyal, Joseph Maakaron, Veronika Bachanová, Shernan G. Holtan, and Brian C. Betts.

Their research addresses complex interactions between technology and healthcare, particularly during pandemic contexts, and spans computational models and clinical phenomena. Themes observed in their work include the integration of large datasets and artificial intelligence methods to analyze, predict, and understand medical and organizational data.

O'Leary is recognized as a Fellow of the American Association for the Advancement of Science (AAAS), an honor dating back to 1947.

Best Publications

  • Enterprise resource planning systems: systems, life cycle, electronic commerce, and risk

    Daniel E. O'Leary

  • Artificial Intelligence and Big Data

    D. E. O'Leary

  • Enterprise knowledge management

    D.E. O'Leary

  • Using AI in knowledge management: knowledge bases and ontologies

    D.E. O'Leary

  • Configuring blockchain architectures for transaction information in blockchain consortiums: The case of accounting and supply chain systems

    Daniel E. O'Leary

  • Expert system verification and validation: a survey and tutorial

    Robert M. O'Keefe;Daniel E. O'Leary

  • Knowledge-Management Systems: Converting and Connecting

    D.E. O'Leary

  • VALIDATION OF EXPERT SYSTEMS- WITH APPLICATIONS TO AUDITING AND ACCOUNTING EXPERT SYSTEMS*

    Daniel E. O'Leary

  • Event study methodologies in information systems research

    Yaniv Konchitchki;Daniel E. O'Leary

  • Gartner's hype cycle and information system research issues ☆

    Daniel E. O'Leary

  • ‘BIG DATA’, THE ‘INTERNET OF THINGS’ AND THE ‘INTERNET OF SIGNS’

    Daniel E. O'Leary

  • Artificial intelligence and virtual organizations

    Daniel E. O'Leary;Daniel Kuokka;Robert Plant

  • Using neural networks to predict corporate failure

    Daniel E. O’Leary

  • Enterprise Resource Planning (ERP) Systems: An Empirical Analysis of Benefits

    Daniel E. O'Leary

  • Knowledge management across the enterprise resource planning systems life cycle

    Daniel E O'Leary

  • Knowledge Discovery as a Threat to Database Security.

    Daniel E. O'Leary

  • THE USE OF SOCIAL MEDIA IN THE SUPPLY CHAIN: SURVEY AND EXTENSIONS

    Daniel E. O'leary

  • Blog mining-review and extensions: From each according to his opinion

    Daniel E. O'Leary

  • Methods of Validating Expert Systems

    Daniel E. O'Leary

  • Wikis: 'From Each According to His Knowledge'

    D.E. O'Leary

  • Evolving Information Systems and Technology Research Issues for COVID-19 and Other Pandemics

    Daniel E. O’Leary

Frequent Co-Authors

Les Gasser
Les Gasser University of Illinois at Urbana-Champaign
Kathleen M. Carley
Kathleen M. Carley Carnegie Mellon University
Rudi Studer
Rudi Studer Karlsruhe Institute of Technology
Veda C. Storey
Veda C. Storey Georgia State University
Clyde W. Holsapple
Clyde W. Holsapple University of Kentucky

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