World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
14159
World Ranking
4262
National Ranking
2009

Rajeev Thakur 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 Rajeev Thakur 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: 253 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Rajeev Thakur 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 Rajeev Thakur 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Rajeev Thakur is affiliated with Argonne National Laboratory in the United States. Their research primarily spans the field of Computer Science, with a focus on several subfields including Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Information Systems and Management, and Materials Chemistry.

The scientist's work addresses various topics in computing and technology. These include:

  • Parallel Computing and Optimization Techniques
  • Scientific Computing and Data Management
  • Distributed and Parallel Computing Systems
  • Machine Learning in Materials Science
  • Cloud Computing and Resource Management
  • Advanced Data Storage Technologies
  • Interconnection Networks and Systems

Rajeev Thakur has contributed to multiple publication venues, particularly those focused on high-performance computing and related areas. Frequent venues for their work are:

  • arXiv (Cornell University)
  • The International Journal of High Performance Computing Applications
  • Computing in Science & Engineering
  • 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
  • Materials Today Proceedings

Recent papers authored or co-authored by Rajeev Thakur include:

  • Co-design Center for Exascale Machine Learning Technologies (ExaLearn), 2021, The International Journal of High Performance Computing Applications
  • Performance Portability in the Exascale Computing Project: Exploration Through a Panel Series, 2021, Computing in Science & Engineering
  • VLSI implementation of lightweight cryptography technique for FPGA-IOT application, 2023, Materials Today Proceedings
  • Employing artificial intelligence to steer exascale workflows with colmena, 2024, The International Journal of High Performance Computing Applications
  • Preparing MPICH for exascale, 2025, The International Journal of High Performance Computing Applications

The scientist often collaborates with a group of frequent co-authors, including Yanfei Guo, Ken Raffenetti, Hui Zhou, Ryan Chard, and Ian Foster. These collaborations reflect a network of research in high-performance and distributed computing systems.

Best Publications

  • PVFS: a parallel file system for linux clusters

    Philip H. Carns;Walter B. Ligon;Robert B. Ross;Rajeev Thakur

  • Optimization of Collective Communication Operations in MPICH

    Rajeev Thakur;Rolf Rabenseifner;William Gropp

  • The International Exascale Software Project roadmap

    Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts

  • Using MPI-2: Advanced Features of the Message Passing Interface

    William Gropp;Ewing Lusk;Rajeev Thakur

  • Data sieving and collective I/O in ROMIO

    R. Thakur;W. Gropp;W. Gropp;E. Lusk

  • On implementing MPI-IO portably and with high performance

    Rajeev Thakur;William Gropp;Ewing Lusk

  • Parallel netCDF: A High-Performance Scientific I/O Interface

    Jianwei Li;Wei-keng Liao;Alok Choudhary;Robert Ross

  • Improving the Performance of Collective Operations in MPICH

    Rajeev Thakur;William D. Gropp

  • An abstract-device interface for implementing portable parallel-I/O interfaces

    R. Thakur;W. Gropp;E. Lusk

  • Users guide for ROMIO: A high-performance, portable MPI-IO implementation

    R. Thakur;E. Lusk;W. Gropp

  • Parallel I/O prefetching using MPI file caching and I/O signatures

    Surendra Byna;Yong Chen;Xian-He Sun;Rajeev Thakur

  • An extended two-phase method for accessing sections of out-of-core arrays

    Rajeev Thakur;Alok Choudhary

  • Passion: Optimized I/O for Parallel Applications

    Rajeev Thakur;Alok Choudhary;Rajesh Bordawekar;Rajesh Bordawekar;Sachin More

  • Optimizing noncontiguous accesses in MPI – IO

    Rajeev Thakur;William Gropp;Ewing Lusk

  • Using Advanced MPI: Modern Features of the Message-Passing Interface

    William Gropp;Torsten Hoefler;Rajeev Thakur;Ewing Lusk

  • MPI on a Million Processors

    Pavan Balaji;Darius Buntinas;David Goodell;William Gropp

  • Method and apparatus for real-time parallel delivery of segments of a large payload file

    Desmond Cho-Hung Chan;Siew Young Sim;Rajeev Thakur;Trygve Isaacson

  • MPI + MPI: a new hybrid approach to parallel programming with MPI plus shared memory

    Torsten Hoefler;James Dinan;Darius Buntinas;Pavan Balaji

  • Remote Memory Access Programming in MPI-3

    Torsten Hoefler;James Dinan;Rajeev Thakur;Brian Barrett

  • A Case for Using MPI's Derived Datatypes to Improve I/O Performance

    Rajeev Thakur;William Gropp;Ewing Lusk

Frequent Co-Authors

William Gropp
William Gropp University of Illinois at Urbana-Champaign
Pavan Balaji
Pavan Balaji Argonne National Laboratory
Ewing Lusk
Ewing Lusk Argonne National Laboratory
Alok Choudhary
Alok Choudhary Northwestern University
Xian-He Sun
Xian-He Sun Illinois Institute of Technology
Robert Ross
Robert Ross Argonne National Laboratory
Ganesh Gopalakrishnan
Ganesh Gopalakrishnan University of Utah
Wu-chun Feng
Wu-chun Feng Virginia Tech
Robert M. Kirby
Robert M. Kirby University of Utah

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