World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
19346
World Ranking
1430
National Ranking
742

P. Sadayappan 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 P. Sadayappan 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: 442 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

P. Sadayappan 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 P. Sadayappan 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: 75 D-Index — 90th percentile

90% 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

  • 2015 - IEEE Fellow For contributions to parallel programming tools for high-performance computing

Overview

P. Sadayappan is a researcher affiliated with the University of Utah in the United States, specializing in computer science with a focus on hardware and architecture, molecular biology, computational mathematics, artificial intelligence, and computational mechanics.

Their work spans several interconnected fields, including parallel computing and optimization techniques, tensor decomposition and applications, genomics and phylogenetic studies, RNA and protein synthesis mechanisms, chromosomal and genetic variations, model reduction and neural networks, and lattice Boltzmann simulation studies.

Frequent publication venues where Sadayappan has contributed include:

  • arXiv (Cornell University)
  • ACM Transactions on Architecture and Code Optimization
  • Zenodo (CERN European Organization for Nuclear Research)
  • AI Magazine
  • 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

Recent papers attributed to Sadayappan's collaborations are:

  • "Autotuning Convolutions Is Easier Than You Think", 2022, ACM Transactions on Architecture and Code Optimization
  • "Creating intelligent cyberinfrastructure for democratizing AI", 2024, AI Magazine
  • "Sparsity-Aware Tensor Decomposition", 2022, 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • "BOA: A partitioned view of genome assembly", 2022, iScience
  • "CoNST: Code Generator for Sparse Tensor Networks", 2024, ACM Transactions on Architecture and Code Optimization

Collaborators who frequently work with Sadayappan include Sandip Mazumder, Hari Sundar, Siddharth Saurav, Süreyya Emre Kurt, and Aravind Sukumaran-Rajam.

Sadayappan was recognized as an IEEE Fellow in 2015 for contributions to parallel programming tools for high-performance computing.

Best Publications

  • A practical automatic polyhedral parallelizer and locality optimizer

    Uday Bondhugula;Albert Hartono;J. Ramanujam;P. Sadayappan

  • NWChem: Past, Present, and Future

    E. Aprà;E. J. Bylaska;W. A. de Jong;N. Govind

  • NWChem: Past, present, and future

    E. Aprà;E. J. Bylaska;W. A. de Jong;N. Govind

  • Gaining insights into multicore cache partitioning: Bridging the gap between simulation and real systems

    Jiang Lin;Qingda Lu;Xiaoning Ding;Zhao Zhang

  • Scalable work stealing

    James Dinan;D. Brian Larkins;P. Sadayappan;Sriram Krishnamoorthy

  • High-performance code generation for stencil computations on GPU architectures

    Justin Holewinski;Louis-Noël Pouchet;P. Sadayappan

  • Automatic transformations for communication-minimized parallelization and locality optimization in the polyhedral model

    Uday Bondhugula;Muthu Baskaran;Sriram Krishnamoorthy;J. Ramanujam

  • Automatic C-to-CUDA code generation for affine programs

    Muthu Manikandan Baskaran;J. Ramanujam;P. Sadayappan

  • A compiler framework for optimization of affine loop nests for gpgpus

    Muthu Manikandan Baskaran;Uday Bondhugula;Sriram Krishnamoorthy;J. Ramanujam

  • Effective automatic parallelization of stencil computations

    Sriram Krishnamoorthy;Muthu Baskaran;Uday Bondhugula;J. Ramanujam

  • Synthesis of High-Performance Parallel Programs for a Class of ab Initio Quantum Chemistry Models

    G. Baumgartner;A. Auer;D.E. Bernholdt;A. Bibireata

  • Scalable I/O forwarding framework for high-performance computing systems

    Nawab Ali;Philip Carns;Kamil Iskra;Dries Kimpe

  • UTS: an unbalanced tree search benchmark

    Stephen Olivier;Jun Huan;Jinze Liu;Jan Prins

  • Compile-time techniques for data distribution in distributed memory machines

    J. Ramanujam;P. Sadayappan

  • Characterization of backfilling strategies for parallel job scheduling

    S. Srinivasan;R. Kettimuthu;V. Subramani;P. Sadayappan

  • Tiling multidimensional iteration spaces for multicomputers

    J. Ramanujam;P. Sadayappan

  • Task allocation onto a hypercube by recursive mincut bipartitioning

    F. Ercal;J. Ramanujan;P. Sadayappan

  • Compiling Array Expressions for Efficient Execution on Distributed-Memory Machines

    S.K.S. Gupta;S.D. Kaushik;C.-H. Huang;P. Sadayappan

  • Polyhedral-based data reuse optimization for configurable computing

    Louis-Noel Pouchet;Peng Zhang;P. Sadayappan;Jason Cong

  • Nearest-Neighbor Mapping of Finite Element Graphs onto Processor Meshes

    Ponnuswamy Sadayappan;Fikret Ercal

Frequent Co-Authors

J. Ramanujam
J. Ramanujam Louisiana State University
Louis-Noël Pouchet
Louis-Noël Pouchet Colorado State University
Atanas Rountev
Atanas Rountev The Ohio State University
Ümit V. Çatalyürek
Ümit V. Çatalyürek Georgia Institute of Technology
Dhabaleswar K. Panda
Dhabaleswar K. Panda The Ohio State University
Sriram Krishnamoorthy
Sriram Krishnamoorthy University of California, Santa Barbara
Tahsin Kurc
Tahsin Kurc Stony Brook University
Joel H. Saltz
Joel H. Saltz Stony Brook University
Albert Cohen
Albert Cohen Google (United States)
Srinivasan Parthasarathy
Srinivasan Parthasarathy The Ohio State University

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