World's Best Scientists 2026 revealed!
Jacob Goldberger

Jacob Goldberger

D-Index & Metrics

Computer Science

D-Index
48
Citations
12891
World Ranking
6068
National Ranking
94

Jacob Goldberger 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 Jacob Goldberger 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: 208 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Jacob Goldberger 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 Jacob Goldberger 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Jacob Goldberger is affiliated with Bar-Ilan University in Israel and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence. Their research portfolio includes 72 publications spanning various subfields such as artificial intelligence, computer vision and pattern recognition, radiology, nuclear medicine and imaging, molecular biology, and signal processing.

Goldberger's work addresses multiple topics, notably COVID-19 diagnosis using AI, domain adaptation and few-shot learning, topic modeling, natural language processing techniques, AI in cancer detection, multimodal machine learning applications, and speech and audio processing.

Some of their recent papers include:

  • Dynamically localizing multiple speakers based on the time-frequency domain, 2021, EURASIP Journal on Audio Speech and Music Processing
  • Proposition-Level Clustering for Multi-Document Summarization, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Weakly and semi supervised detection in medical imaging via deep dual branch net, 2020, Neurocomputing
  • Long Context Question Answering via Supervised Contrastive Learning, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • An entangled mixture of variational autoencoders approach to deep clustering, 2023, Neurocomputing

Frequent publication venues for Goldberger include arXiv (Cornell University) with 16 papers, Neurocomputing with 4 papers, bioRxiv (Cold Spring Harbor Laboratory) with 4 publications, International Journal of Molecular Sciences with 3 papers, and the Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies with 2 papers.

Goldberger often collaborates with several co-authors, including Hayit Greenspan, Tomer Kalisky, Ido Dagan, Coby Penso, and Yaron Trink, each having multiple joint publications.

Best Publications

  • Neighbourhood Components Analysis

    Jacob Goldberger;Geoffrey E. Hinton;Sam T. Roweis;Ruslan R Salakhutdinov

  • GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification

    Maayan Frid-Adar;Idit Diamant;Eyal Klang;Michal Amitai

  • Synthetic data augmentation using GAN for improved liver lesion classification

    Maayan Frid-Adar;Eyal Klang;Michal Amitai;Jacob Goldberger

  • context2vec: Learning Generic Context Embedding with Bidirectional LSTM

    Oren Melamud;Jacob Goldberger;Ido Dagan

  • Training deep neural-networks using a noise adaptation layer

    Jacob Goldberger;Ehud Ben-Reuven

  • Constrained Gaussian mixture model framework for automatic segmentation of MR brain images

    H. Greenspan;A. Ruf;J. Goldberger

  • X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words

    U Avni;H Greenspan;E Konen;M Sharon

  • Hierarchical Clustering of a Mixture Model

    Jacob Goldberger;Sam T. Roweis

  • An efficient message-passing schedule for LDPC decoding

    E. Sharon;S. Litsyn;J. Goldberger

  • Efficient Serial Message-Passing Schedules for LDPC Decoding

    E. Sharon;S. Litsyn;J. Goldberger

  • Probabilistic space-time video modeling via piecewise GMM

    H. Greenspan;J. Goldberger;A. Mayer

  • Precise Detection in Densely Packed Scenes

    Eran Goldman;Roei Herzig;Aviv Eisenschtat;Jacob Goldberger

  • Mixture model for face-color modeling and segmentation

    Hayit Greenspan;Jacob Goldberger;Itay Eshet

  • Unsupervised image-set clustering using an information theoretic framework

    J. Goldberger;S. Gordon;H. Greenspan

  • Global Learning of Typed Entailment Rules

    Jonathan Berant;Ido Dagan;Jacob Goldberger

  • Training deep neural-networks based on unreliable labels

    Alan Joseph Bekker;Jacob Goldberger

  • An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures

    Jacob Goldberger;Shiri Gordon;Hayit Greenspan

  • Automatic management of storage access control

    Yakov Faitelson;Jacob Goldberger;Ohad Korkus

  • Pattern recognition system

    Gabriel Ilan;Jacob Goldberger

  • A continuous probabilistic framework for image matching

    Hayit Greenspan;Jacob Goldberger;Lenny Ridel

  • A distance measure between GMMs based on the unscented transform and its application to speaker recognition.

    Jacob Goldberger;Hagai Aronowitz

Frequent Co-Authors

Hayit Greenspan
Hayit Greenspan Tel Aviv University
Sharon Gannot
Sharon Gannot Bar-Ilan University
Ido Dagan
Ido Dagan Bar-Ilan University
Amir Leshem
Amir Leshem Bar-Ilan University
Jonathan Berant
Jonathan Berant Tel Aviv University
Shmuel Nitzan
Shmuel Nitzan Bar-Ilan University
Moshe Koppel
Moshe Koppel Bar-Ilan University
Yoav Goldberg
Yoav Goldberg Bar-Ilan University
Simon Litsyn
Simon Litsyn Tel Aviv University
Gal Chechik
Gal Chechik Bar-Ilan University

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