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D-Index & Metrics

Computer Science

D-Index
66
Citations
42513
World Ranking
2250
National Ranking
1123

Laxmikant V. Kale 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 Laxmikant V. Kale 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: 464 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Laxmikant V. Kale 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 Laxmikant V. Kale 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: 66 D-Index — 84th percentile

84% 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

  • 2017 - ACM Fellow For development of new parallel programming techniques and their deployment in high performance computing applications
  • 2011 - IEEE Fellow For development of parallel programming techniques

Overview

Laxmikant V. Kale is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research primarily focuses on the field of Computer Science, with substantial contributions in several subfields including Hardware and Architecture, Computer Networks and Communications, Information Systems, Artificial Intelligence, and Computer Vision and Pattern Recognition.

The scientist's work extensively covers topics related to Parallel Computing and Optimization Techniques, Cloud Computing and Resource Management, Distributed and Parallel Computing Systems, Embedded Systems Design Techniques, Advanced Data Storage Technologies, Ferroelectric and Negative Capacitance Devices, and Stochastic Gradient Optimization Techniques.

Kale has published numerous papers, with recent notable works including:

  • "Scalable molecular dynamics on CPU and GPU architectures with NAMD" (2020), The Journal of Chemical Physics
  • "Heterogeneous computing with OpenMP and Hydra" (2020), Concurrency and Computation Practice and Experience
  • "Improving Scalability with GPU-Aware Asynchronous Tasks" (2022), 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
  • "Quantifying Overheads in Charm++ and HPX using Task Bench" (2022), arXiv (Cornell University)
  • "Optimizing Non-commutative Allreduce Over Virtualized, Migratable MPI Ranks" (2022), 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

Their frequent co-authors include Zane Fink, Simeng Liu, Jaemin Choi, Matthias Diener, and David F. Richards. These collaborations have contributed to a body of work regularly published in venues such as arXiv (Cornell University), the IEEE International Parallel and Distributed Processing Symposium Workshops, Zenodo (CERN European Organization for Nuclear Research), The Journal of Chemical Physics, and Concurrency and Computation Practice and Experience.

Kale has received professional recognition including the ACM Fellow award in 2017 for contributions to parallel programming techniques and deployment in high performance computing applications, and the IEEE Fellow distinction in 2011 for the development of parallel programming techniques.

Best Publications

  • Scalable molecular dynamics with NAMD

    James C. Phillips;Rosemary Braun;Wei Wang;James C. Gumbart

  • NAMD2: Greater Scalability for Parallel Molecular Dynamics

    Laxmikant Kalé;Robert Skeel;Milind Bhandarkar;Robert Brunner

  • Scalable molecular dynamics on CPU and GPU architectures with NAMD.

    James C. Phillips;David J. Hardy;Julio D.C. Maia;John E. Stone

  • CHARM++: a portable concurrent object oriented system based on C++

    Laxmikant V. Kale;Laxmikant V. Kale;Sanjeev Krishnan

  • Scalable Molecular Dynamics with NAMD.

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

  • NAMD: a Parallel, Object-Oriented Molecular Dynamics Program

    Mark T. Nelson;William Humphrey;Attila Gursoy;Andrew Dalke

  • Scalable Molecular Dynamics with NAMD

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

  • Toward Exascale Resilience

    Franck Cappello;Al Geist;Bill Gropp;Laxmikant Kale

  • NAMD: Biomolecular Simulation on Thousands of Processors

    James C. Phillips;Gengbin Zheng;Sameer Kumar;Laxmikant V. Kalé

  • BigSim: a parallel simulator for performance prediction of extremely large parallel machines

    G. Zheng;Gunavardhan Kakulapati;L.V. Kale

  • FTC-Charm++: an in-memory checkpoint-based fault tolerant runtime for Charm++ and MPI

    Gengbin Zheng;Lixia Shi;L.V. Kale

  • Algorithmic Challenges in Computational Molecular Biophysics

    Tamar Schlick;Robert D Skeel;Axel T Brunger;Laxmikant V Kalé

  • Parallel programming with migratable objects: charm++ in practice

    Bilge Acun;Abhishek Gupta;Nikhil Jain;Akhil Langer

  • Adaptive MPI

    Unknown

  • Maximizing throughput of overprovisioned HPC data centers under a strict power budget

    Osman Sarood;Akhil Langer;Abhishek Gupta;Laxmikant Kale

  • Topology-aware task mapping for reducing communication contention on large parallel machines

    T. Agarwal;A. Sharma;A. Laxmikant;L.V. Kale

  • Adaptive techniques for clustered N-body cosmological simulations

    Harshitha Menon;Lukasz Wesolowski;Gengbin Zheng;Pritish Jetley

  • Performance evaluation of adaptive MPI

    Chao Huang;Gengbin Zheng;Laxmikant Kalé;Sameer Kumar

  • The Chare Kernel Parallel Programming Language and System.

    Laxmikant V. Kalé

  • A scalable double in-memory checkpoint and restart scheme towards exascale

    Gengbin Zheng;Xiang Ni;Laxmikant V. Kale

  • Proactive fault tolerance in MPI applications via task migration

    Sayantan Chakravorty;Celso L. Mendes;Laxmikant V. Kalé

Frequent Co-Authors

Abhinav Bhatele
Abhinav Bhatele University of Maryland, College Park
Sameer Kumar
Sameer Kumar Google (United States)
Klaus Schulten
Klaus Schulten University of Illinois at Urbana-Champaign
Attila Gursoy
Attila Gursoy Koç University
Sohrab Ismail-Beigi
Sohrab Ismail-Beigi Yale University
Robert D. Skeel
Robert D. Skeel Purdue University West Lafayette
Dejan Milojicic
Dejan Milojicic Hewlett-Packard (United States)
Pete Beckman
Pete Beckman Northwestern University
Thomas R. Quinn
Thomas R. Quinn University of Washington
David Padua
David Padua University of Illinois at Urbana-Champaign

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