World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
9564
World Ranking
12870
National Ranking
5190

Overview

Gaurang Mehta is affiliated with the University of Southern California in the United States. Their research spans multiple disciplines, primarily focusing on Economics, Econometrics and Finance, and Engineering.

Their scholarly output includes several publications addressing topics in finance, artificial intelligence, and engineering. Main fields of study comprising their work are:

  • Economics, Econometrics and Finance
  • Engineering

Within these areas, Mehta has contributed extensively to the following subfields:

  • Finance
  • Artificial Intelligence
  • Economics and Econometrics
  • Industrial and Manufacturing Engineering
  • Computational Mechanics

Their research covers a range of specialized topics, including:

  • Credit Risk and Financial Regulations
  • Insurance and Financial Risk Management
  • Banking stability, regulation, efficiency
  • Topic Modeling
  • Natural Language Processing Techniques
  • Speech and dialogue systems
  • Manufacturing Process and Optimization

Mehta has co-authored papers with various researchers, notably collaborating multiple times with Florin Ginghina. Other frequent co-authors include J. Sharpe, Andrew Smith, Julia Zeitlinger, and Charles E. McAnany.

Their research has been published in several venues, reflecting the interdisciplinary nature of their work. Frequent publication outlets are:

  • British Actuarial Journal
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Studies in health technology and informatics
  • International Journal of Innovations in Engineering and Science
  • INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT

Among the recent papers authored or co-authored by Mehta are:

  • Calibration of transition risk for corporate bonds, 2023, British Actuarial Journal
  • PISA: a versatile interpretation tool for visualizing cis-regulatory rules in genomic data, 2025, bioRxiv (Cold Spring Harbor Laboratory)
  • Retrieval Augmented Generation: What Works and Lessons Learned, 2025, Studies in health technology and informatics
  • Mechanism Design Considering the Aspect of Field Modeling Database, 2020, International Journal of Innovations in Engineering and Science
  • "The calibration of transition risk for corporate bonds" by the Extreme Events Working Party, 2023, British Actuarial Journal

Best Publications

  • Pegasus: A framework for mapping complex scientific workflows onto distributed systems

    Ewa Deelman;Gurmeet Singh;Mei-Hui Su;James Blythe

  • Characterizing and profiling scientific workflows

    Gideon Juve;Ann Chervenak;Ewa Deelman;Shishir Bharathi

  • Pegasus: Mapping Scientific Workflows onto the Grid

    Ewa Deelman;James Blythe;Yolanda Gil;Carl Kesselman

  • Characterization of scientific workflows

    S. Bharathi;A. Chervenak;E. Deelman;G. Mehta

  • Mapping Abstract Complex Workflows onto Grid Environments

    Ewa Deelman;James Blythe;Yolanda Gil;Carl Kesselman

  • On the Use of Cloud Computing for Scientific Workflows

    C. Hoffa;G. Mehta;T. Freeman;E. Deelman

  • Scientific workflow applications on Amazon EC2

    Gideon Juve;Ewa Deelman;Karan Vahi;Gaurang Mehta

  • Special Issue: The First Provenance Challenge

    Luc Moreau;Bertram Ludäscher;Ilkay Altintas;Roger S. Barga

  • The First Provenance Challenge

    Luc Moreau;Bertram Ludaescher;Ilkay Altintas;Roger S. Barga

  • Provenance trails in the Wings-Pegasus system

    Jihie Kim;Ewa Deelman;Yolanda Gil;Gaurang Mehta

  • GriPhyN and LIGO, building a virtual data Grid for gravitational wave scientists

    E. Deelman;C. Kesselman;G. Mehta;L. Meshkat

  • Wings for Pegasus: creating large-scale scientific applications using semantic representations of computational workflows

    Yolanda Gil;Varun Ratnakar;Ewa Deelman;Gaurang Mehta

  • The Grid2003 production grid: principles and practice

    Foster I;J. Gieraltowski;S. Gose;N. Maltsev

  • The role of planning in Grid computing

    Jim Blythe;Ewa Deelman;Yolanda Gil;Carl Kesselman

  • Data Sharing Options for Scientific Workflows on Amazon EC2

    Gideon Juve;Ewa Deelman;Karan Vahi;Gaurang Mehta

  • Data placement for scientific applications in distributed environments

    A. Chervenak;E. Deelman;M. Livny;Mei-Hui Su

  • Managing Large-Scale Workflow Execution from Resource Provisioning to Provenance Tracking: The CyberShake Example

    Ewa Deelman;Scott Callaghan;Edward Field;Hunter Francoeur

  • Pegasus: Mapping Large-Scale Workflows to Distributed Resources

    Ewa Deelman;Gaurang Mehta;Gurmeet Singh;Mei-Hui Su

  • Adaptive workflow processing and execution in Pegasus

    Kevin Lee;Norman W. Paton;Rizos Sakellariou;Ewa Deelman

  • Workflow task clustering for best effort systems with Pegasus

    Gurmeet Singh;Mei-Hui Su;Karan Vahi;Ewa Deelman

Frequent Co-Authors

Ewa Deelman
Ewa Deelman University of Southern California
Karan Vahi
Karan Vahi University of Southern California
Gideon Juve
Gideon Juve Pacific Northwest National Laboratory
Carl Kesselman
Carl Kesselman University of Southern California
Yolanda Gil
Yolanda Gil University of Southern California
Robert W. Graves
Robert W. Graves United States Geological Survey
Thomas H. Jordan
Thomas H. Jordan University of Southern California
Paul Groth
Paul Groth University of Amsterdam
Jim Blythe
Jim Blythe University of Southern California
Albert Lazzarini
Albert Lazzarini California Institute of Technology

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