World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
4101
World Ranking
13206
National Ranking
5299

Shantenu Jha 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 Shantenu Jha 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: 274 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Shantenu Jha 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 Shantenu Jha 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.

Research.com Recognitions

  • 2020 - ACM Gordon Bell Prize AI-Driven Multiscale Simulations Illuminate Mechanisms of SARS-CoV-2 Spike Dynamics

Overview

Shantenu Jha is affiliated with Rutgers, The State University of New Jersey in the United States. Their research spans several interdisciplinary fields, including Computer Science, Biochemistry, Genetics and Molecular Biology, and Decision Sciences.

The scientist's main fields of study include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology
  • Decision Sciences

In terms of subfields, their work engages with topics such as:

  • Information Systems and Management
  • Computer Networks and Communications
  • Molecular Biology
  • Information Systems
  • Materials Chemistry

The primary topics covered in their research focus on:

  • Scientific Computing and Data Management
  • Distributed and Parallel Computing Systems
  • Cloud Computing and Resource Management
  • Machine Learning in Materials Science
  • Research Data Management Practices
  • Computational Drug Discovery Methods
  • Protein Structure and Dynamics

The scientist has published extensively across various venues, with frequent publications in:

  • arXiv (Cornell University)
  • The International Journal of High Performance Computing Applications
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Future Generation Computer Systems
  • Zenodo (CERN European Organization for Nuclear Research)

Recent notable papers include:

  • "AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics" (2021) published in The International Journal of High Performance Computing Applications
  • "High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor" (2021) published in Journal of Chemical Information and Modeling
  • "#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol" (2022) published in The International Journal of High Performance Computing Applications
  • "The Framework for Assessing Changes To Sea-level (FACTS) v1.0: a platform for characterizing parametric and structural uncertainty in future global, relative, and extreme sea-level change" (2023) published in Geoscientific model development
  • "FAIR for AI: An interdisciplinary and international community building perspective" (2023) published in Scientific Data

Frequent co-authors in Shantenu Jha's research include:

  • Matteo Turilli
  • André Merzky
  • Hyungro Lee
  • Arvind Ramanathan
  • Kyle Chard

They have received recognition such as the ACM Gordon Bell Prize in 2020 for the work titled "AI-Driven Multiscale Simulations Illuminate Mechanisms of SARS-CoV-2 Spike Dynamics."

Best Publications

  • Computing Clinically Relevant Binding Free Energies of HIV-1 Protease Inhibitors.

    David W. Wright;Benjamin A. Hall;Owain A. Kenway;Shantenu Jha

  • SAGA: A Simple API for Grid Applications. High-level application programming on the Grid

    Tom Goodale;Shantenu Jha;Hartmut Kaiser;Thilo Kielmann

  • Using clouds to provide grids with higher levels of abstraction and explicit support for usage modes

    Shantenu Jha;Andre Merzky;Geoffrey Fox

  • AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics

    Lorenzo Casalino;Abigail C. Dommer;Zied Gaieb;Emilia P. Barros

  • SAGA BigJob: An Extensible and Interoperable Pilot-Job Abstraction for Distributed Applications and Systems

    André Luckow;Lukasz Lacinski;Shantenu Jha

  • Computational steering in realitygrid

    JM Brooke;PV Coveney;Jdr Jens Harting;S Jha

  • A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures

    Shantenu Jha;Judy Qiu;Andre Luckow;Pradeep Mantha

  • High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.

    Austin Clyde;Austin Clyde;Stephanie Galanie;Daniel W Kneller;Heng Ma

  • Perspective: Computational chemistry software and its advancement as illustrated through three grand challenge cases for molecular science

    Anna Krylov;Theresa L. Windus;Taylor Barnes;Eliseo Marin-Rimoldi

  • A Comprehensive Perspective on Pilot-Job Systems

    Matteo Turilli;Mark Santcroos;Shantenu Jha

  • Steering in computational science: mesoscale modelling and simulation

    J Chin;Jdr Jens Harting;S Jha;PV Coveney

  • Exploring the Performance Fluctuations of HPC Workloads on Clouds

    Yaakoub El-Khamra;Hyunjoo Kim;Shantenu Jha;Manish Parashar

  • Autonomic management of application workflows on hybrid computing infrastructure

    Hyunjoo Kim;Yaakoub el-Khamra;Ivan Rodero;Shantenu Jha

  • P∗: A model of pilot-abstractions

    Andre Luckow;Mark Santcroos;Andre Merzky;Ole Weidner

  • Big Data, Simulations and HPC Convergence

    Geoffrey C. Fox;Judy Qiu;Shantenu Jha;Saliya Ekanayake

  • Using clouds to provide grids with higher levels of abstraction and explicit support for usage modes

    Unknown

  • NEKTAR, SPICE and Vortonics: using federated grids for large scale scientific applications

    B. Boghosian;P. Coveney;S. Dong;L. Finn

  • An Autonomic Approach to Integrated HPC Grid and Cloud Usage

    Hyunjoo Kim;Yaakoub el-Khamra;Shantenu Jha;Manish Parashar

  • SAGA: A standardized access layer to heterogeneous Distributed Computing Infrastructure

    Andre Merzky;Ole Weidner;Shantenu Jha

  • Programming Abstractions for Data Intensive Computing on Clouds and Grids

    Chris Miceli;Michael Miceli;Shantenu Jha;Hartmut Kaiser

  • Middleware Building Blocks for Workflow Systems

    Matteo Turilli;Vivek Balasubramanian;Andre Merzky;Ioannis Paraskevakos

  • AI-Driven Multiscale Simulations Illuminate Mechanisms of SARS-CoV-2 Spike Dynamics

    Lorenzo Casalino;Abigail Dommer;Zied Gaieb;Emilia P Barros

  • High Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Non-Covalent Inhibitor

    Austin Clyde;Austin Clyde;Austin Clyde;Stephanie Galanie;Stephanie Galanie;Daniel W. Kneller;Daniel W. Kneller;Heng Ma;Heng Ma

  • Efficient large-scale replica-exchange simulations on production infrastructure

    Abhinav Thota;André Luckow;Shantenu Jha;Shantenu Jha

Frequent Co-Authors

Daniel S. Katz
Daniel S. Katz University of Illinois at Urbana-Champaign
Peter V. Coveney
Peter V. Coveney University College London
Geoffrey C. Fox
Geoffrey C. Fox University of Virginia
Rick Stevens
Rick Stevens Argonne National Laboratory
Ian Foster
Ian Foster University of Chicago
Kaushik De
Kaushik De The University of Texas at Arlington
Kyle Chard
Kyle Chard University of Chicago
Manish Parashar
Manish Parashar University of Utah
Thomas Brettin
Thomas Brettin Argonne National Laboratory
Omer F. Rana
Omer F. Rana Cardiff University

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