World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
10079
World Ranking
6776
National Ranking
12

Research.com Recognitions

  • 2009 - ACM Senior Member

Overview

Jorge Cardoso is affiliated with the University of Coimbra in Portugal and focuses primarily on computer science research. Their work spans multiple subfields including computer networks and communications, information systems, artificial intelligence, management science and operations research, and software.

The scientist's research topics cover various aspects of software and systems engineering. Key areas include software system performance and reliability, software engineering research and techniques, anomaly detection techniques and applications, cloud computing and resource management, network security and intrusion detection, and software reliability and analysis research.

Jorge Cardoso has contributed to academic literature through several papers. Notable recent publications include:

  • Automated Analysis of Distributed Tracing: Challenges and Research Directions (2021), published in Journal of Grid Computing
  • LogRule: Efficient Structured Log Mining for Root Cause Analysis (2023), published in IEEE Transactions on Network and Service Management
  • Improving Observability in Event Sourcing Systems (2021), published in Journal of Systems and Software
  • Impacte do acidente de trabalho grave na vida do trabalhador (2020), published in Universidade Nova de Lisboa's Repository
  • Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper (2021), published in arXiv (Cornell University)

Frequent co-authors in Jorge Cardoso's research include Jasmin Bogatinovski, Odej Kao, Sasho Nedelkoski, Michael Gerndt, and Fernando Brito e Abreu. The scientist's publications often appear in venues such as arXiv (Cornell University), Journal of Grid Computing, IEEE Transactions on Network and Service Management, Universidade Nova de Lisboa's Repository, and Journal of Systems and Software.

Jorge Cardoso holds the distinction of ACM Senior Member since 2009, reflecting involvement within professional computing organizations.

Best Publications

  • Quality of Service for Workflows and Web Service Processes

    Jorge Cardoso;Amit P. Sheth;John A. Miller;Jonathan Arnold

  • Semantic E-Workflow Composition

    Jorge Cardoso;Amit Sheth

  • What makes process models understandable

    Jan Mendling;Hajo A. Reijers;Jorge Cardoso

  • The Semantic Web Vision: Where Are We?

    J. Cardoso

  • A discourse on complexity of process models

    J. Cardoso;J. Mendling;G. Neumann;H. A. Reijers

  • The Semantic Web and Its Applications

    Jorge S. Cardoso;Amit P. Sheth

  • Semantic Web Services and Web Process Composition

    Jorge Cardoso;Amit P. Sheth

  • Modeling Quality of Service for Workflows and Web Service Processes

    Jorge Cardoso;John A. Miller;Amit P. Sheth;Jonathan Arnold

  • Quality metrics for business process models

    Itp Irene Vanderfeesten;J Cardoso;J Mendling;HA Hajo Reijers

  • Towards a unified service description language for the internet of services : requirements and first developments

    Jorge Cardoso;Alistair P. Barros;Norman May;Uwe Kylau

  • Semantic Web Services: Theory, Tools and Applications

    Jorge Cardoso

  • Service Engineering for the Internet of Services

    Jorge S. Cardoso;Konrad Voigt;Matthias Winkler

  • Semantic Web Services Processes And Applications

    Jorge Cardoso;Amit P. Sheth

  • On a Quest for Good Process Models: The Cross-Connectivity Metric

    Irene Vanderfeesten;Hajo A. Reijers;Jan Mendling;Wil M. Aalst

  • Workflow Quality of Service

    Jorge Cardoso;Amit P. Sheth;John Miller

  • Workflow Management Systems and ERP Systems: Differences, Commonalities, and Applications

    Jorge Cardoso;Robert P. Bostrom;Amit Sheth

  • Process control-flow complexity metric: An empirical validation

    Jorge Cardoso

  • Healthcare Enterprise Process Development and Integration

    Kemafor Anyanwu;Amit Sheth;Jorge Cardoso;John Miller

  • How to Measure the Control-flow Complexity of Web Processes and Workflows

    Jorge Cardoso

  • Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs

    Sasho Nedelkoski;Jasmin Bogatinovski;Alexander Acker;Jorge Cardoso

  • OWL: Web Ontology Language

    Adélia Gouveia;Jorge Cardoso

Frequent Co-Authors

Amit P. Sheth
Amit P. Sheth University of South Carolina
John A. Miller
John A. Miller University of Georgia
Jan Mendling
Jan Mendling Humboldt-Universität zu Berlin
Wil M. P. van der Aalst
Wil M. P. van der Aalst RWTH Aachen University
Marten van Sinderen
Marten van Sinderen University of Twente
Miltiadis D. Lytras
Miltiadis D. Lytras American College of Greece
Manfred Hauswirth
Manfred Hauswirth Technical University of Berlin
Geert-Jan Houben
Geert-Jan Houben Delft University of Technology
Hervé Panetto
Hervé Panetto University of Lorraine
Antonio Ruiz-Cortés
Antonio Ruiz-Cortés University of Seville

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