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D-Index & Metrics

Computer Science

D-Index
73
Citations
43455
World Ranking
1539
National Ranking
31

Lior Rokach 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 Lior Rokach 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 449 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Lior Rokach 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 Lior Rokach sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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.

Overview

Lior Rokach is a researcher affiliated with Ben-Gurion University of the Negev in Israel, with a focus spanning computer science and medicine. Their work covers a variety of fields and topics, aligning with substantial publication output and collaborative research activities.

The main fields of study for Lior Rokach include:

  • Computer Science
  • Medicine

Within these fields, notable subfields consist of:

  • Artificial Intelligence
  • Molecular Biology
  • Genetics
  • Information Systems
  • Signal Processing

The primary research topics addressed include:

  • Machine Learning and Data Classification
  • Chronic Lymphocytic Leukemia Research
  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning
  • Explainable Artificial Intelligence (XAI)
  • Network Security and Intrusion Detection
  • Advanced Malware Detection Techniques

Lior Rokach has contributed to multiple recent papers. Selected publications are:

  • "A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities," 2020, Information Fusion
  • "Approximating XGBoost with an interpretable decision tree," 2021, Information Sciences
  • "Explaining anomalies detected by autoencoders using Shapley Additive Explanations," 2021, Expert Systems with Applications
  • "Explainable decision forest: Transforming a decision forest into an interpretable tree," 2020, Information Fusion
  • "Safety and efficacy of the BNT162b mRNA COVID-19 vaccine in patients with chronic lymphocytic leukemia," 2021, Haematologica

The researcher has published extensively in various venues, with notable frequent publication outlets including:

  • arXiv (Cornell University)
  • Information Fusion
  • SSRN Electronic Journal
  • Zenodo (CERN European Organization for Nuclear Research)
  • Expert Systems with Applications

Frequent co-authors collaborating with Lior Rokach are:

  • Bracha Shapira
  • Tamar Tadmor
  • Seffi Cohen
  • Guy Melamed
  • Guy Shtar

In terms of book publications, Lior Rokach has contributed to the book titled Cluster Analysis, published by World Scientific in 2024.

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

  • Ensemble-based classifiers

    Lior Rokach

  • Data Mining and Knowledge Discovery Handbook

    Oded Maimon;Lior Rokach

  • Ensemble learning: A survey

    Omer Sagi;Lior Rokach

  • Data Mining with Decision Trees: Theory and Applications

    Lior Rokach;Oded Maimon

  • Top-down induction of decision trees classifiers - a survey

    L. Rokach;O. Maimon

  • Recommender Systems: Introduction and Challenges

    Francesco Ricci;Lior Rokach;Bracha Shapira

  • A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities

    Sergio González;Salvador García;Javier Del Ser;Lior Rokach

  • Decision forest: Twenty years of research

    Lior Rokach

  • The Data Mining and Knowledge Discovery Handbook

    Oded Z. Maimon;Lior Rokach

  • Approximating XGBoost with an interpretable decision tree

    Omer Sagi;Lior Rokach

  • Pattern Classification Using Ensemble Methods

    Lior Rokach

  • Data Mining and Knowledge Discovery Handbook, 2nd ed

    Oded Z. Maimon;Lior Rokach

  • Explaining anomalies detected by autoencoders using Shapley Additive Explanations

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

  • Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography

    Lior Rokach

  • Dynamic Malware Analysis in the Modern Era—A State of the Art Survey

    Ori Or-Meir;Nir Nissim;Yuval Elovici;Lior Rokach

  • Data Mining with Decision Trees - Theory and Applications. 2nd Edition

    Unknown

  • A survey of Clustering Algorithms

    Lior Rokach

  • A Survey of Data Leakage Detection and Prevention Solutions

    Asaf Shabtai;Yuval Elovici;Lior Rokach

  • Link Prediction in Social Networks Using Computationally Efficient Topological Features

    Michael Fire;Lena Tenenboim;Ofrit Lesser;Rami Puzis

  • Introduction to Decision Trees

    Lior Rokach;Oded Maimon

Frequent Co-Authors

Bracha Shapira
Bracha Shapira Ben-Gurion University of the Negev
Yuval Elovici
Yuval Elovici Ben-Gurion University of the Negev
Oded Maimon
Oded Maimon Tel Aviv University
Asaf Shabtai
Asaf Shabtai Ben-Gurion University of the Negev
Robert Moskovitch
Robert Moskovitch Columbia University
C. Lee Giles
C. Lee Giles Pennsylvania State University
Cornelia Caragea
Cornelia Caragea University of Illinois at Chicago
Prasenjit Mitra
Prasenjit Mitra Pennsylvania State University
Francesco Ricci
Francesco Ricci Free University of Bozen-Bolzano
Daniel A. Keim
Daniel A. Keim University of Konstanz

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