World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
21140
World Ranking
9015
National Ranking
146

Bracha Shapira 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 Bracha Shapira 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: 250 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Bracha Shapira 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 Bracha Shapira 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Bracha Shapira is affiliated with Ben-Gurion University of the Negev in Israel and has contributed extensively to research in computer science, especially in areas intersecting artificial intelligence and information systems.

Their research spans several fields and subfields, notably:

  • Computer Science
  • Artificial Intelligence
  • Information Systems
  • Computer Networks and Communications
  • Computational Theory and Mathematics
  • Molecular Biology

Within these areas, the main topics Bracha Shapira has worked on include:

  • Anomaly Detection Techniques and Applications
  • Computational Drug Discovery Methods
  • Network Security and Intrusion Detection
  • Advanced Bandit Algorithms Research
  • Recommender Systems and Techniques
  • Explainable Artificial Intelligence (XAI)
  • Machine Learning and Data Classification

Shapira has published extensively across several academic venues, frequently contributing to:

  • arXiv (Cornell University)
  • Expert Systems with Applications
  • Archives of Physical Medicine and Rehabilitation
  • Knowledge-Based Systems
  • Information Sciences

Notable papers by Shapira include:

  • Explaining anomalies detected by autoencoders using Shapley Additive Explanations, 2021, Expert Systems with Applications
  • Molecule generation using transformers and policy gradient reinforcement learning, 2023, Scientific Reports
  • Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients, 2020, Archives of Physical Medicine and Rehabilitation
  • CDCDB: A large and continuously updated drug combination database, 2022, Scientific Data
  • Contextual security awareness: A context-based approach for assessing the security awareness of users, 2022, Knowledge-Based Systems

Collaborations form an important element of their scholarly output. Frequent coauthors include:

  • Lior Rokach
  • Guy Shtar
  • Adir Solomon
  • Seffi Cohen
  • Eyal Mazuz

Best Publications

  • Introduction to Recommender Systems Handbook

    Francesco Ricci;Lior Rokach;Bracha Shapira

  • Recommender Systems Handbook

    Francesco Ricci;Lior Rokach;Bracha Shapira;Paul B. Kantor

  • Recommender Systems: Introduction and Challenges

    Francesco Ricci;Lior Rokach;Bracha Shapira

  • Information Filtering: Overview of Issues, Research and Systems

    Uri Hanani;Bracha Shapira;Peretz Shoval

  • Explaining anomalies detected by autoencoders using Shapley Additive Explanations

    Liat Antwarg;Ronnie Mindlin Miller;Bracha Shapira;Lior Rokach

  • Mobile malware detection through analysis of deviations in application network behavior

    Asaf Shabtai;Lena Tenenboim-Chekina;Dudu Mimran;Lior Rokach

  • A Theory-Driven Design Framework for Social Recommender Systems

    Ofer Arazy;Nanda Kumar;Bracha Shapira

  • Facebook single and cross domain data for recommendation systems

    Bracha Shapira;Lior Rokach;Shirley Freilikhman

  • Recommender Systems: Techniques, Applications, and Challenges

    Unknown

  • Unknown malware detection using network traffic classification

    Dmitri Bekerman;Bracha Shapira;Lior Rokach;Ariel Bar

  • Improving Social Recommender Systems

    O. Arazy;N. Kumar;B. Shapira

  • Efficient Multidimensional Suppression for K-Anonymity

    S. Kisilevich;L. Rokach;Y. Elovici;B. Shapira

  • Towards latent context-aware recommendation systems

    Moshe Unger;Ariel Bar;Bracha Shapira;Lior Rokach

  • Proceedings of the 1st Workshop on Deep Learning for Recommender Systems

    Alexandros Karatzoglou;Balázs Hidasi;Domonkos Tikk;Oren Sar-Shalom

  • RecSys Challenge 2015 and the YOOCHOOSE Dataset

    David Ben-Shimon;Alexander Tsikinovsky;Michael Friedmann;Bracha Shapira

  • TALMUD: transfer learning for multiple domains

    Orly Moreno;Bracha Shapira;Lior Rokach;Guy Shani

  • The effectiveness of a training method using self-modeling webcam photos for reducing musculoskeletal risk among office workers using computers

    Meirav Taieb-Maimon;Julie Cwikel;Bracha Shapira;Ido Orenstein

  • ConSent: Context-based sentiment analysis

    Gilad Katz;Nir Ofek;Bracha Shapira

  • Explaining Anomalies Detected by Autoencoders Using SHAP.

    Liat Antwarg;Bracha Shapira;Lior Rokach

  • Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures.

    Guy Shtar;Lior Rokach;Bracha Shapira

  • CoBAn: A context based model for data leakage prevention

    Gilad Katz;Yuval Elovici;Bracha Shapira

  • Stereotypes in information filtering systems

    Bracha Shapira;Peretz Shoval;Uri Hanani

  • Context-based generic cross-lingual retrieval of documents and automated summaries: Research Articles

    Wai Lam;Ki Chan;Dragomir Radev;Horacio Saggion

Frequent Co-Authors

Lior Rokach
Lior Rokach Ben-Gurion University of the Negev
Yuval Elovici
Yuval Elovici Ben-Gurion University of the Negev
Abraham Kandel
Abraham Kandel University of South Florida
Tsvi Kuflik
Tsvi Kuflik University of Haifa
Francesco Ricci
Francesco Ricci Free University of Bozen-Bolzano
Asaf Shabtai
Asaf Shabtai Ben-Gurion University of the Negev
Domonkos Tikk
Domonkos Tikk Gravity Research & Development Zrt.
Alexandros Karatzoglou
Alexandros Karatzoglou Google (United States)
Bernardo Magnini
Bernardo Magnini Fondazione Bruno Kessler
Benjamin Melamed
Benjamin Melamed Rutgers, The State University of New Jersey

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring a career in Computer Science offers a wide range of educational pathways. For those seeking flexibility, an online bachelors degree can be a cost-effective and convenient way to start your journey. These programs often allow students to balance their studies with work or personal commitments.

Engineering is another competitive field closely tied to computer science. Considering the online engineering degree cost is essential, as tuition rates widely vary between institutions. Many affordable online engineering programs offer strong technical foundations suitable for a variety of technology careers.

For those aiming for leadership or management roles, pursuing an executive mba can open doors to new career opportunities in tech companies and beyond. This degree is designed for professionals looking to advance their strategic and organizational skills.

Additionally, tech intersects with other domains such as library science. A master library science online prepares graduates for roles in digital archiving, data management, and information systems, offering a unique technology-focused career pathway.

Best Scientists Citing Bracha Shapira

Trending Scientists

Recently Published Articles