World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
9564
World Ranking
12867
National Ranking
5189

Gaurang Mehta publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Gaurang Mehta sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 63 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Gaurang Mehta D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Gaurang Mehta sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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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