World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
8725
World Ranking
11922
National Ranking
4868

Overview

Vagelis Hristidis is affiliated with the University of California, Riverside in the United States. The main field of their research is Computer Science, with a focus on several subfields. These include Artificial Intelligence, Computer Networks and Communications, General Health Professions, Signal Processing, and Information Systems.

Their research covers a variety of topics related to computer science and healthcare, particularly in areas where technology intersects with human services. Key topics of their work are:

  • Topic Modeling
  • Data Management and Algorithms
  • Speech and Dialogue Systems
  • Artificial Intelligence in Healthcare and Education
  • Advanced Database Systems and Queries
  • Natural Language Processing Techniques
  • AI in Service Interactions

Hristidis has collaborated with several frequent co-authors, notably Jannat Ara Meem, Ryan Rivas, Muhammad Shihab Rashid, Nicole Ruggiano, and Ellen L. Brown. These collaborations suggest a consistent engagement with a network of researchers focused on related interdisciplinary topics.

The scientist has contributed to several publication venues, frequently appearing in:

  • arXiv (Cornell University)
  • Journal of Medical Internet Research
  • The VLDB Journal
  • Journal Of Big Data
  • Proceedings of the International AAAI Conference on Web and Social Media

Some of the recent papers authored or co-authored by Vagelis Hristidis include:

  • "Chatbots to Support People With Dementia and Their Caregivers: Systematic Review of Functions and Quality" (2021) published in the Journal of Medical Internet Research
  • "ChatGPT vs Google for Queries Related to Dementia and Other Cognitive Decline: Comparison of Results" (2023) published in the Journal of Medical Internet Research
  • "Large language models as decision aids in neuro-oncology: a review of shared decision-making applications" (2024) published in the Journal of Cancer Research and Clinical Oncology
  • "Use of Large Language Models to Assess the Likelihood of Epidemics From the Content of Tweets: Infodemiology Study" (2024) published in the Journal of Medical Internet Research
  • "Classification of Health-Related Social Media Posts: Evaluation of Post Content-Classifier Models and Analysis of User Demographics" (2020) published in JMIR Public Health and Surveillance

Best Publications

  • Discover: keyword search in relational databases

    Vagelis Hristidis;Yannis Papakonstantinou

  • Efficient IR-style keyword search over relational databases

    Vagelis Hristidis;Luis Gravano;Yannis Papakonstantinou

  • Objectrank: authority-based keyword search in databases

    Andrey Balmin;Vagelis Hristidis;Yannis Papakonstantinou

  • Keyword Search on Spatial Databases

    I. De Felipe;V. Hristidis;N. Rishe

  • PREFER: a system for the efficient execution of multi-parametric ranked queries

    Vagelis Hristidis;Nick Koudas;Yannis Papakonstantinou

  • Keyword proximity search on XML graphs

    V. Hristidis;Y. Papakonstantinou;A. Balmin

  • Correlating financial time series with micro-blogging activity

    Eduardo J. Ruiz;Vagelis Hristidis;Carlos Castillo;Aristides Gionis

  • Survey of data management and analysis in disaster situations

    Vagelis Hristidis;Shu-Ching Chen;Tao Li;Steven Luis

  • Experiences on Processing Spatial Data with MapReduce

    Ariel Cary;Zhengguo Sun;Vagelis Hristidis;Naphtali Rishe

  • Keyword proximity search in XML trees

    V. Hristidis;N. Koudas;Y. Papakonstantinou;Divesh Srivastava

  • Probabilistic ranking of database query results

    Surajit Chaudhuri;Gautam Das;Vagelis Hristidis;Gerhard Weikum

  • BORG: block-reORGanization for self-optimizing storage systems

    Medha Bhadkamkar;Jorge Guerra;Luis Useche;Sam Burnett

  • Probabilistic information retrieval approach for ranking of database query results

    Surajit Chaudhuri;Gautam Das;Vagelis Hristidis;Gerhard Weikum

  • Authority-based keyword search in databases

    Vagelis Hristidis;Heasoo Hwang;Yannis Papakonstantinou

  • A system for query-specific document summarization

    Ramakrishna Varadarajan;Vagelis Hristidis

  • Algorithms and applications for answering ranked queries using ranked views

    Vagelis Hristidis;Yannis Papakonstantinou

  • Branch-and-bound processing of ranked queries

    Yufei Tao;Vagelis Hristidis;Dimitris Papadias;Yannis Papakonstantinou

  • Standing Out in a Crowd: Selecting Attributes for Maximum Visibility

    M. Miah;G. Das;V. Hristidis;H. Mannila

  • Keyword proximity search in XML trees

    Unknown

  • FACeTOR: cost-driven exploration of faceted query results

    Abhijith Kashyap;Vagelis Hristidis;Michalis Petropoulos

  • Ordering the attributes of query results

    Gautam Das;Vagelis Hristidis;Nishant Kapoor;S. Sudarshan

Frequent Co-Authors

Gautam Das
Gautam Das The University of Texas at Arlington
Yannis Papakonstantinou
Yannis Papakonstantinou University of California, San Diego
Vassilis J. Tsotras
Vassilis J. Tsotras University of California, Riverside
Nick Koudas
Nick Koudas University of Toronto
Panagiotis G. Ipeirotis
Panagiotis G. Ipeirotis New York University
Surajit Chaudhuri
Surajit Chaudhuri Microsoft (United States)
Tao Li
Tao Li Florida International University
Gerhard Weikum
Gerhard Weikum Max Planck Institute for Informatics
Michail Vlachos
Michail Vlachos University of Lausanne
Neal E. Young
Neal E. Young University of California, Riverside

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