World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
22279
World Ranking
9465
National Ranking
4007

Overview

Sudha Ram is affiliated with the University of Arizona in the United States. Their research intersects multiple disciplines, primarily Medicine, Computer Science, and Social Sciences, with a focus on several subfields including Artificial Intelligence, Sociology and Political Science, Surgery, Transportation, and Statistics and Probability.

Their work spans a diverse range of topics, notably:

  • Information Systems Theories and Implementation
  • Human Mobility and Location-Based Analysis
  • Traffic Prediction and Management Techniques
  • Transportation Planning and Optimization
  • Machine Learning in Healthcare
  • Explainable Artificial Intelligence (XAI)
  • Topic Modeling

Sudha Ram has contributed to both journal articles and book publications. One of their books, published by Springer Science+Business Media in 2020, is titled Advances in Conceptual Modeling.

The scientist's recent papers include the following:

  • A Novel Fracture Prediction Model Using Machine Learning in a Community-Based Cohort, 2020, JBMR Plus
  • A Comprehensive Analysis of Triggers and Risk Factors for Asthma Based on Machine Learning and Large Heterogeneous Data Sources, 2020, MIS Quarterly
  • Artificial Intelligence in Information Systems: State of the Art and Research Roadmap, 2022, Communications of the Association for Information Systems
  • Deep Learning of Spatiotemporal Patterns for Urban Mobility Prediction Using Big Data, 2022, Information Systems Research
  • ROLEX: A Novel Method for Interpretable Machine Learning Using Robust Local Explanations, 2023, MIS Quarterly

Frequent collaborators in their work include:

  • Faiz Currim
  • Karthik Srinivasan
  • Buomsoo Kim
  • Pavan Kumar Machavarapu
  • Sung Hye Kong

Publication venues where Sudha Ram has multiple works include:

  • MIS Quarterly
  • Information Systems Research
  • Interdisciplinary Neurosurgery
  • JBMR Plus
  • Communications of the Association for Information Systems

Best Publications

  • Design science in information systems research

    Alan R. Hevner;Salvatore T. March;Jinsoo Park;Sudha Ram

  • Consumer Resistance to Innovations: The Marketing Problem and its solutions

    S. Ram;Jagdish N. Sheth

  • The iPlant Collaborative: Cyberinfrastructure for Plant Biology.

    Stephen A Goff;Matthew Vaughn;Sheldon McKay;Eric Lyons

  • Information systems interoperability: What lies beneath?

    Jinsoo Park;Sudha Ram

  • Semantic conflict resolution ontology (SCROL): an ontology for detecting and resolving data and schema-level semantic conflicts

    Sudha Ram;Jinsoo Park

  • Predicting Asthma-Related Emergency Department Visits Using Big Data

    Sudha Ram;Wenli Zhang;Max Williams;Yolande Pengetnze

  • Research Commentary: An Agenda for Information Technology Research in Heterogeneous and Distributed Environments

    Salvatore March;Alan Hevner;Sudha Ram

  • Who does what: Collaboration patterns in the wikipedia and their impact on article quality

    Jun Liu;Sudha Ram

  • Multi-user view integration system (MUVIS): an expert system for view integration

    S. Hayne;S. Ram

  • Research challenges and opportunities in business analytics

    Dursun Delen;Sudha Ram

  • Bringing innovation to market

    Jagdish N. Sheth;S. Ram

  • Conceptual Modeling - ER 2006

    David W. Embley;Antoni Olivé;Sudha Ram

  • The conceptualization and measurement of product usage

    S. Ram;Hyung Shik Jung

  • Conceptual Modeling – ER ’98

    Tok-Wang Ling;Sudha Ram;Mong Li Lee

  • Large-Scale Network Analysis for Online Social Brand Advertising

    Kunpeng Zhang;Siddhartha Bhattacharyya;Sudha Ram

  • Database fragmentation and allocation: an integrated methodology and case study

    A.M. Tamhankar;S. Ram

  • HyperIntelligence: the next frontier

    Sudha Ram;David A. Carlson

  • A new perspective on semantics of data provenance

    Sudha Ram;Jun Liu

  • The relational model is dead, SQL is dead, and I don't feel so good myself

    Paolo Atzeni;Christian S. Jensen;Giorgio Orsi;Sudha Ram

  • Understanding the semantics of data provenance to support active conceptual modeling

    Sudha Ram;Jun Liu

  • Proceedings of the 1997 ACM SIGMOD international conference on Management of data

    Joan M. Peckman;Sudha Ram;Michael Franklin

Frequent Co-Authors

Huimin Zhao
Huimin Zhao University of Illinois at Urbana-Champaign
Richard T. Snodgrass
Richard T. Snodgrass University of Arizona
Daniel Zeng
Daniel Zeng Chinese Academy of Sciences
David W. Embley
David W. Embley Brigham Young University
Tok Wang Ling
Tok Wang Ling National University of Singapore
Matti Rossi
Matti Rossi Aalto University
Matthias R. Mehl
Matthias R. Mehl University of Arizona
Matthias Jarke
Matthias Jarke RWTH Aachen University
Mong Li Lee
Mong Li Lee National University of Singapore
Alan R. Hevner
Alan R. Hevner University of South Florida

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