World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4521
World Ranking
12699
National Ranking
5129

Abhinav Bhatele 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 Abhinav Bhatele 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: 199 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Abhinav Bhatele 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 Abhinav Bhatele 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: 33 D-Index — 13th percentile

13% 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

  • 2009 - ACM-IEEE CS George Michael Memorial HPC Fellowships Topology-aware task mapping

Overview

Abhinav Bhatele is affiliated with the University of Maryland, College Park in the United States. Their research primarily focuses on computer science with a notable emphasis on the subfields of computer networks and communications, artificial intelligence, information systems, hardware and architecture, and computer vision and pattern recognition.

The main topics covered in Bhatele's work include parallel computing and optimization techniques, cloud computing and resource management, software system performance and reliability, distributed and parallel computing systems, software engineering research, scientific computing and data management, and advanced neural network applications.

Bhatele has published extensively with a total of 61 publications in computer science. The frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • IEEE Transactions on Parallel and Distributed Systems

Recent papers authored by Bhatele include:

  • AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning, 2022, 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • Scalable Comparative Visualization of Ensembles of Call Graphs, 2021, IEEE Transactions on Visualization and Computer Graphics
  • Resource Utilization Aware Job Scheduling to Mitigate Performance Variability, 2022, 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • Transformers Can Do Arithmetic with the Right Embeddings, 2024, arXiv (Cornell University)
  • HPC-Coder: Modeling Parallel Programs using Large Language Models, 2023, arXiv (Cornell University)

Frequent collaborators with Bhatele include:

  • Daniel Nichols
  • Siddharth Singh
  • Tom Goldstein
  • Harshitha Menon
  • John Kirchenbauer

Bhatele's research has been recognized with awards such as the ACM-IEEE CS George Michael Memorial HPC Fellowship in 2009, which specifically cited their work on topology-aware task mapping.

Best Publications

  • Scalable Molecular Dynamics with NAMD.

    James C. Phillips;Klaus Schulten;Abhinav Bhatele;Chao Mei

  • Scalable Molecular Dynamics with NAMD

    J. C. Phillips;K. Schulten;A. Bhatele;C. Mei

  • Exploring Traditional and Emerging Parallel Programming Models Using a Proxy Application

    Ian Karlin;Abhinav Bhatele;Jeff Keasler;Bradford L. Chamberlain

  • There goes the neighborhood: performance degradation due to nearby jobs

    Abhinav Bhatele;Kathryn Mohror;Steven H. Langer;Katherine E. Isaacs

  • Dynamic topology aware load balancing algorithms for molecular dynamics applications

    Abhinav Bhatelé;Laxmikant V. Kalé;Sameer Kumar

  • Scalable molecular dynamics with NAMD on the IBM Blue Gene/L system

    S. Kumar;C. Huang;G. Zheng;E. Bohm

  • Overcoming scaling challenges in biomolecular simulations across multiple platforms

    A. Bhatele;S. Kumar;Chao Mei;J.C. Phillips

  • State of the Art of Performance Visualization

    Katherine E. Isaacs;Alfredo Giménez;Ilir Jusufi;Todd Gamblin

  • Periodic hierarchical load balancing for large supercomputers

    Gengbin Zheng;Abhinav Bhatelé;Esteban Meneses;Laxmikant V. Kalé

  • Avoiding hot-spots on two-level direct networks

    Abhinav Bhatele;Nikhil Jain;William D. Gropp;Laxmikant V. Kale

  • Hierarchical Load Balancing for Charm++ Applications on Large Supercomputers

    Gengbin Zheng;Esteban Meneses;Abhinav Bhatele;Laxmikant V. Kale

  • Maximizing throughput on a dragonfly network

    Nikhil Jain;Abhinav Bhatele;Xiang Ni;Nicholas J. Wright

  • Mapping applications with collectives over sub-communicators on torus networks

    Abhinav Bhatele;Todd Gamblin;Steven H. Langer;Peer-Timo Bremer

  • Fine-grained parallelization of the Car-Parrinello ab initio molecular dynamics method on the IBM Blue Gene/L supercomputer

    E. Bohm;A. Bhatele;L. V. Kalé;M. E. Tuckerman

  • Automated mapping of regular communication graphs on mesh interconnects

    Abhinav Bhatele;Gagan Raj Gupta;Laxmikant V. Kale;I-Hsin Chung

  • Improving communication performance in dense linear algebra via topology aware collectives

    Edgar Solomonik;Abhinav Bhatele;James Demmel

  • Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations

    A. G. Landge;J. A. Levine;A. Bhatele;K. E. Isaacs

  • Combing the Communication Hairball: Visualizing Parallel Execution Traces using Logical Time

    Katherine E. Isaacs;Peer Timo Bremer;Ilir Jusufi;Todd Gamblin

  • Evaluating HPC networks via simulation of parallel workloads

    Nikhil Jain;Abhinav Bhatele;Sam White;Todd Gamblin

  • Parallel Science and Engineering Applications: The Charm++ Approach

    Laxmikant V. Kale;Laxmikant V. Kale;Abhinav Bhatele

  • Analyzing Network Health and Congestion in Dragonfly-Based Supercomputers

    Abhinav Bhatele;Nikhil Jain;Yarden Livnat;Valerio Pascucci

  • Massively parallel first-principles simulation of electron dynamics in materials

    Erik W. Draeger;Xavier Andrade;John A. Gunnels;Abhinav Bhatele

  • Automating topology aware mapping for supercomputers

    Laxmikant V. Kale;Abhinav Bhatele

  • Predicting application performance using supervised learning on communication features

    Nikhil Jain;Abhinav Bhatele;Michael P. Robson;Todd Gamblin

Frequent Co-Authors

Laxmikant V. Kale
Laxmikant V. Kale University of Illinois at Urbana-Champaign
Martin Schulz
Martin Schulz Technical University of Munich
Peer-Timo Bremer
Peer-Timo Bremer Lawrence Livermore National Laboratory
Bernd Hamann
Bernd Hamann University of California, Davis
Valerio Pascucci
Valerio Pascucci University of Utah
Kwan-Liu Ma
Kwan-Liu Ma University of California, Davis
Sameer Kumar
Sameer Kumar Google (United States)
John A. Gunnels
John A. Gunnels Nvidia (United States)
Robert Ross
Robert Ross Argonne National Laboratory
William Gropp
William Gropp University of Illinois at Urbana-Champaign

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