World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6027
World Ranking
10733
National Ranking
4482

Franz Franchetti 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 Franz Franchetti 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: 169 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Franz Franchetti 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 Franz Franchetti 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: 37 D-Index — 27th percentile

27% 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 - ACM Senior Member
  • 2006 - ACM Gordon Bell Prize Large-scale Electronic Structure Calculations of High-Z Metals on the BlueGene/L Platform

Overview

Franz Franchetti is a researcher affiliated with Carnegie Mellon University in the United States. Their work primarily lies within the field of Computer Science, with a focus on several subfields, including Artificial Intelligence, Hardware and Architecture, Electrical and Electronic Engineering, Computational Theory and Mathematics, and Spectroscopy.

The main topics of Franz Franchetti's research encompass Parallel Computing and Optimization Techniques, Embedded Systems Design Techniques, Numerical Methods and Algorithms, Cryptography and Data Security, Analytical Chemistry and Chromatography, Advanced Control Systems Optimization, and Cryptographic Implementations and Security.

Franchetti's recent publications showcase a range of interests and contributions across different venues:

  • Scientific Programming, 2022, published in Scientific Programming
  • A Flexible Framework for Multidimensional DFTs, 2020, published in SIAM Journal on Scientific Computing
  • TREBUCHET: Fully Homomorphic Encryption Accelerator for Deep Computation, 2023, published on arXiv (Cornell University)
  • Floating-Point TVPI Abstract Domain, 2024, published in Proceedings of the ACM on Programming Languages
  • Indirect Measurement of Hepatic Drug Clearance by Fitting Dynamical Models, 2020, published on arXiv (Cornell University)

Franchetti frequently collaborates with a number of coauthors, including:

  • Naifeng Zhang
  • Mike Franusich
  • David Bruce Cousins
  • Yuriy Polyakov
  • Ahmad Al Badawi

Their publications often appear in the following venues:

  • arXiv (Cornell University)
  • SIAM Journal on Scientific Computing
  • Proceedings of the ACM on Programming Languages
  • Scientific Programming

Throughout their career, Franz Franchetti has received recognition from the computing community, including an ACM Gordon Bell Prize awarded in 2006 for work on large-scale electronic structure calculations of high-Z metals on the BlueGene/L platform.

They have also been acknowledged as an ACM Senior Member since 2015.

Best Publications

  • SPIRAL: Code Generation for DSP Transforms

    M. Puschel;J.M.F. Moura;J.R. Johnson;D. Padua

  • Energy-Efficient Abundant-Data Computing: The N3XT 1,000x

    Mohamed M. Sabry Aly;Mingyu Gao;Gage Hills;Chi-Shuen Lee

  • Mathematical foundations of the GraphBLAS

    Jeremy Kepner;Peter Aaltonen;David Bader;Aydin Buluc

  • Data reorganization in memory using 3D-stacked DRAM

    Berkin Akin;Franz Franchetti;James C. Hoe

  • Mathematical Foundations of the GraphBLAS

    Jeremy Kepner;Peter Aaltonen;David Bader;Aydın Buluc

  • A stencil compiler for short-vector SIMD architectures

    Tom Henretty;Richard Veras;Franz Franchetti;Louis-Noël Pouchet

  • When polyhedral transformations meet SIMD code generation

    Martin Kong;Richard Veras;Kevin Stock;Franz Franchetti

  • Data layout transformation for stencil computations on short-vector SIMD architectures

    Tom Henretty;Kevin Stock;Louis-Noël Pouchet;Franz Franchetti

  • An Information-Theoretic Approach to PMU Placement in Electric Power Systems

    Qiao Li;Tao Cui;Yang Weng;R. Negi

  • Computer Generation of Hardware for Linear Digital Signal Processing Transforms

    Peter Milder;Franz Franchetti;James C. Hoe;Markus Püschel

  • A 3D-stacked logic-in-memory accelerator for application-specific data intensive computing

    Qiuling Zhu;Berkin Akin;H. Ekin Sumbul;Fazle Sadi

  • Discrete fourier transform on multicore

    F. Franchetti;M. Puschel;Y. Voronenko;S. Chellappa

  • Accelerating sparse matrix-matrix multiplication with 3D-stacked logic-in-memory hardware

    Qiuling Zhu;Tobias Graf;H. Ekin Sumbul;Larry Pileggi

  • Efficient Utilization of SIMD Extensions

    F. Franchetti;S. Kral;J. Lorenz;C.W. Ueberhuber

  • Large-scale electronic structure calculations of high-Z metals on the BlueGene/L platform

    Francois Gygi;Erik W. Draeger;Martin Schulz;Bronis R. de Supinski

  • FFT program generation for shared memory: SMP and multicore

    Franz Franchetti;Yevgen Voronenko;Markus Puschel

  • SPIRAL: Extreme Performance Portability

    Franz Franchetti;Tze Meng Low;Doru Thom Popovici;Richard M. Veras

  • Formal loop merging for signal transforms

    Franz Franchetti;Yevgen Voronenko;Markus Püschel

  • A SIMD vectorizing compiler for digital signal processing algorithms

    F. Franchetti;M. Puschel

  • High Performance Stereo Vision Designed for Massively Data Parallel Platforms

    Wei Yu;Tsuhan Chen;F Franchetti;J C Hoe

Frequent Co-Authors

James C. Hoe
James C. Hoe Carnegie Mellon University
Larry Pileggi
Larry Pileggi Carnegie Mellon University
Jose M. F. Moura
Jose M. F. Moura Carnegie Mellon University
P. Sadayappan
P. Sadayappan University of Utah
Tsuhan Chen
Tsuhan Chen Cornell University
Louis-Noël Pouchet
Louis-Noël Pouchet Colorado State University
Bronis R. de Supinski
Bronis R. de Supinski Lawrence Livermore National Laboratory
Francois Gygi
Francois Gygi University of California, Davis

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