World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
17235
World Ranking
9481
National Ranking
4013

Overview

Ramez Elmasri is affiliated with The University of Texas at Arlington in the United States. The research portfolio reflects an active engagement in multiple areas of computer science and its applications, particularly in artificial intelligence and data management.

The scientist's recent publications span topics such as spatial, temporal, and spatio-temporal databases, the involvement of circular RNAs in cancer research, fairness in AI prediction models, and software system code analysis. Notable recent papers include:

  • "A survey on spatial, temporal, and spatio-temporal database research and an original example of relevant applications using SQL ecosystem and deep learning" (2020) published in the Journal of Information and Telecommunication
  • "Involvement of CircRNAs in regulating The "New Generation of Cancer Hallmarks": A Special Depiction on Hepatocellular Carcinoma" (2024) published in Critical Reviews in Oncology/Hematology
  • "Using Bias Parity Score to Find Feature-Rich Models with Least Relative Bias" (2020) published in Technologies
  • "A survey of problematic database code fragments in software systems" (2021) published in Engineering Reports
  • "Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization" (2023) published in the Proceedings of the International Florida Artificial Intelligence Research Society Conference

Frequent co-authors collaborating with Ramez Elmasri include Bhanu Jain, Manfred Huber, Kulsawasd Jitkajornwanich, Neelabh Pant, and Mohammadhani Fouladgar.

Publication venues regularly include:

  • Journal of Information and Telecommunication
  • Critical Reviews in Oncology/Hematology
  • Technologies
  • Engineering Reports
  • Proceedings of the International Florida Artificial Intelligence Research Society Conference

The main fields of study encompass computer science and social sciences, with subfields such as artificial intelligence, safety research, signal processing, cancer research, and computer networks and communications. The research has also focused on specific topics, which include:

  • Explainable Artificial Intelligence (XAI)
  • Ethics and Social Impacts of AI
  • Data Management and Algorithms
  • Geographic Information Systems Studies
  • Time Series Analysis and Forecasting
  • Circular RNAs in diseases
  • MicroRNA in disease regulation

Best Publications

  • Fundamentals of Database Systems

    Ramez A. Elmasri;Shamkant B. Navathe

  • A consensus glossary of temporal database concepts

    Curtis Dyreson;Fabio Grandi;Wolfgang Käfer;Nick Kline

  • Fundamentals of Database Systems, 5th Edition

    Ramez Elmasri;Shamkant B. Navathe

  • A theory of attributed equivalence in databases with application to schema integration

    J.A. Larson;S.B. Navathe;R. Elmasri

  • The consensus glossary of temporal database concepts — February 1998 version

    Christian S. Jensen;Curtis E. Dyreson;Michael Böhlen;James Clifford

  • The category concept: an extension to the entity-relationship model

    R. Elmasri;J. Weeldreyer;A. Hevner

  • Fundamentals of database systems (2nd ed.)

    Ramez Elmasri;Shamkant B. Navathe

  • TSQL2 language specification

    Richard Thomas Snodgrass;Ilsoo Ahn;Gadi Ariav;Don Batory

  • The Time Index: An Access Structure for Temporal Data

    Ramez Elmasri;Gene T. J. Wuu;Yeong-Joon Kim

  • A temporal model and query language for ER databases

    R. Elmasri;G.T.J. Wuu

  • Fundamentals of Database Systems with Cdrom and Book

    Shamkant B. Navathe;Ramez A. Elmasri

  • Optimizing clustering algorithm in mobile ad hoc networks using genetic algorithmic approach

    D. Turgut;S.K. Das;R. Elmasri;B. Turgut

  • A graphical data manipulation language for an extended entity-relationship model

    B. Czejdo;R. Elmasri;M. Rusinkiewicz;D.W. Embley

  • Time index access structure for temporal databases having concurrent multiple versions

    Ramez A. Elmasri;Tzyh-Jain G. Wuu

  • Scalable deep traffic flow neural networks for urban traffic congestion prediction

    Mohammadhani Fouladgar;Mostafa Parchami;Ramez Elmasri;Amir Ghaderi

  • Database Systems

    Shamkant B. Navathe;Ramez Elmasri

  • Querying Knowledge Graphs by Example Entity Tuples

    Nandish Jayaram;Arijit Khan;Chengkai Li;Xifeng Yan

  • GQBE: Querying knowledge graphs by example entity tuples

    Nandish Jayaram;Mahesh Gupta;Arijit Khan;Chengkai Li

  • GORDAS: A Formal High-Level Query Language for the Entity-Relationship Model

    Ramez Elmasri;Gio Wiederhold

  • Towards an infrastructure for temporal databases: report of an invitational ARPA/NSF workshop

    Niki Pissinou;Richard Thomas Snodgrass;Ramez Elmasri;Inderpal S. Mumick

  • A Temporal Model and Query Language for EER Databases.

    Ramez Elmasri;Gene T. J. Wuu;Vram Kouramajian

Frequent Co-Authors

Shamkant B. Navathe
Shamkant B. Navathe Georgia Institute of Technology
John F. Roddick
John F. Roddick Flinders University
Gio Wiederhold
Gio Wiederhold Stanford University
Richard T. Snodgrass
Richard T. Snodgrass University of Arizona
Christian S. Jensen
Christian S. Jensen Aalborg University
Arie Segev
Arie Segev University of California, Berkeley
Xifeng Yan
Xifeng Yan University of California, Santa Barbara
Don Batory
Don Batory The University of Texas at Austin
David W. Embley
David W. Embley Brigham Young University
Vojislav B. Misic
Vojislav B. Misic Toronto Metropolitan University

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