World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
73
Citations
30089
World Ranking
1550
National Ranking
807

Gabor T. Herman 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 Gabor T. Herman 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: 410 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Gabor T. Herman 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 Gabor T. Herman 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: 73 D-Index — 89th percentile

89% 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

  • 1991 - IEEE Fellow For contributions to medical imagine, particularly in the theory and development of techniques for the reconstruction and display of computed tomographic images.

Overview

Gabor T. Herman is primarily affiliated with the City University of New York in the United States. Their research covers a range of fields including engineering, medicine, and mathematics. Within these main fields, the scientist's work focuses on subfields such as computational mechanics, radiology, nuclear medicine and imaging, mathematical physics, computer vision and pattern recognition, and numerical analysis.

The research topics addressed in their work include sparse and compressive sensing techniques, medical imaging techniques and applications, numerical methods in inverse problems, advanced MRI techniques and applications, advanced image processing techniques, advanced optimization algorithms research, and photoacoustic and ultrasonic imaging.

Recent publications by Gabor T. Herman highlight contributions to image reconstruction and optimization methods. Notable papers include:

  • "Fast data-driven learning of parallel MRI sampling patterns for large scale problems," 2021, published in Scientific Reports
  • "Derivative-free superiorization: principle and algorithm," 2021, published in Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)
  • "Problem structures in the theory and practice of superiorization," 2020, published in Journal of Applied and Numerical Optimization
  • "Fast Data-Driven Learning of MRI Sampling Pattern for Large Scale Problems," 2020, published on arXiv (Cornell University)
  • "Erratum: Total variation superiorized conjugate gradient method for image reconstruction (2018 Inverse Problems 34 034001)," 2020, published in Inverse Problems

The scientist frequently collaborates with several co-authors, including Marcelo V. W. Zibetti, Elias S. Helou, Ravinder R. Regatte, Yair Censor, and Edgar Garduño. Their work has appeared multiple times in publication venues such as the Munich Personal RePEc Archive (Ludwig Maximilian University of Munich), Journal of Applied and Numerical Optimization, arXiv (Cornell University), Scientific Reports, and Inverse Problems.

In 1991, Gabor T. Herman was recognized as an IEEE Fellow for contributions to medical imaging, particularly concerning the theory and development of techniques for the reconstruction and display of computed tomographic images.

Best Publications

  • Image reconstruction from projections

    G. T. Herman

  • Image reconstruction from projections : the fundamentals of computerized tomography

    Gabor T. Herman

  • Fundamentals of Computerized Tomography: Image Reconstruction from Projections

    Gabor T. Herman

  • Fundamentals of Computerized Tomography

    Gabor T. Herman

  • Three-dimensional display of human organs from computed tomograms

    Gabor T. Herman;Hsun Kao Liu

  • Algebraic reconstruction techniques can be made computationally efficient (positron emission tomography application)

    G.T. Herman;L.B. Meyer

  • Development systems and languages

    Gabor T. Herman;Grzegorz Rozenberg;Aristid Lindenmayer

  • Iterative reconstruction algorithms.

    Gabor T. Herman;Gabor T. Herman;Arnold Lent;Arnold Lent

  • A Maximum a Posteriori Probability Expectation Maximization Algorithm for Image Reconstruction in Emission Tomography

    Emanuel Levitan;Gabor T. Herman

  • The theory, design, implementation and evaluation of a three-dimensional surface detection algorithm

    Ehud Artzy;Gideon Frieder;Gabor T Herman

  • 3D Imaging In Medicine

    Jayaram K. Udupa;Gabor T. Herman

  • Three-dimensional reconstruction from projections: a review of algorithms.

    Richard Gordon;Gabort Herman

  • Discrete tomography : foundations, algorithms, and applications

    Gabor T. Herman;Attila Kuba

  • Shape-based interpolation

    G.T. Herman;J. Zheng;C.A. Bucholtz

  • ART: Mathematics and applications a report on the mathematical foundations and on the applicability to real data of the algebraic reconstruction techniques

    Gabor T. Herman;Arnold Lent;Stuart W. Rowland

  • Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization.

    Sjors H W Scheres;Haixiao Gao;Mikel Valle;Gabor T Herman

  • Analysis of brain and cerebrospinal fluid volumes with MR imaging. Part I. Methods, reliability, and validation.

    M I Kohn;N K Tanna;G T Herman;S M Resnick

  • Iterative algorithms for large partitioned linear systems, with applications to image reconstruction

    P.P.B. Eggermont;G.T. Herman;A. Lent

  • Advances in discrete tomography and its applications

    Gabor T. Herman;Attila Kuba

  • Color scales for image data

    H. Levkowitz;G.T. Herman

  • Image reconstruction from projections : implementation and applications

    Gabor T. Herman;M. D. Altschuler

Frequent Co-Authors

Jayaram K. Udupa
Jayaram K. Udupa University of Pennsylvania
Yair Censor
Yair Censor University of Haifa
Roberto Marabini
Roberto Marabini Autonomous University of Madrid
José María Carazo
José María Carazo Spanish National Research Council
Henning Friis Poulsen
Henning Friis Poulsen Technical University of Denmark
Carlos Oscar S. Sorzano
Carlos Oscar S. Sorzano Spanish National Research Council
Erik L. Ritman
Erik L. Ritman Mayo Clinic
Richard A. Robb
Richard A. Robb Mayo Clinic
Leon Axel
Leon Axel New York University

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