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Lior Rokach

Active 2001–2026

388
Papers
33,177
Citations
65
h-index
221
i10-index

Citations

Citations per year for Lior Rokach1949: 1 citations1970: 1 citations1997: 1 citations2000: 1 citations2001: 2 citations2002: 2 citations2003: 3 citations2004: 2 citations2005: 46 citations2006: 33 citations2007: 38 citations2008: 62 citations2009: 348 citations2010: 201 citations2011: 311 citations2012: 492 citations2013: 643 citations2014: 831 citations2015: 1,040 citations2016: 1,116 citations2017: 1,367 citations2018: 1,449 citations2019: 1,759 citations2020: 1,817 citations2021: 1,992 citations2022: 1,794 citations2023: 1,719 citations2024: 1,791 citations2025: 1,129 citations2026: 249 citations2027: 2 citations1950–1969: no citations, so these years are not shown1971–1996: no citations, so these years are not shown1998–1999: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,484 citing papers, 14.9% of this breakdownUnited States: 3,001 citing papers, 12.8% of this breakdownIndia: 1,200 citing papers, 5.1% of this breakdownItaly: 1,079 citing papers, 4.6% of this breakdownUnited Kingdom: 1,062 citing papers, 4.6% of this breakdownSpain: 866 citing papers, 3.7% of this breakdownGermany: 803 citing papers, 3.4% of this breakdownAustralia: 746 citing papers, 3.2% of this breakdownCanada: 696 citing papers, 3% of this breakdownIsrael: 587 citing papers, 2.5% of this breakdownFrance: 567 citing papers, 2.4% of this breakdownBrazil: 528 citing papers, 2.3% of this breakdown
0%14.9%Other 37.5%

Institutions

Fields

  • Computer Science69.4%
  • Engineering5.8%
  • Medicine4.3%
  • Social Sciences3.1%
  • Biochemistry, Genetics and Molecular Biology3%
  • Decision Sciences2.3%
  • Other12.1%

Topics

  • Recommender Systems and Techniques8.1%
  • Network Security and Intrusion Detection2.8%
  • Advanced Malware Detection Techniques2.6%
  • Anomaly Detection Techniques and Applications2.2%
  • Topic Modeling2.2%
  • Imbalanced Data Classification Techniques1.9%
  • Other80.2%

Coauthors

All papers

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  1. Ensemble learning: A survey

    Authors: Omer Sagi, Lior Rokach - Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, WIREs Data Mining Knowl. Discov. 2018 cited by 3,003

  2. Ensemble-based classifiers

    Authors: Lior Rokach - Artificial Intelligence Review, Artif. Intell. Rev. 2009 cited by 2,644

  3. Recommender Systems Handbook

    Authors: Francesco Ricci, Lior Rokach, Bracha Shapira, Paul B. Kantor - Recommender Systems Handbook 2010 cited by 3,746

  4. Recommender Systems Handbook

    Authors: Francesco Ricci, Lior Rokach, Bracha Shapira - Recommender Systems Handbook 2011 cited by 1,499

  5. Explaining anomalies detected by autoencoders using Shapley Additive Explanations

    Authors: Liat Antwarg, Ronnie Mindlin Miller, Bracha Shapira, Lior Rokach - Expert Systems with Applications, Expert Syst. Appl. 2021 cited by 446

  6. Dynamic Malware Analysis in the Modern Era - A State of the Art Survey

    Authors: Ori Or-Meir, Nir Nissim, Yuval Elovici, Lior Rokach - ACM Computing Surveys, ACM Comput. Surv. 2019 cited by 368

  7. Introduction to Recommender Systems Handbook

    Authors: Francesco Ricci, Lior Rokach, Bracha Shapira - Recommender Systems Handbook 2010 cited by 2,306

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

    Authors: Sergio González, Salvador García, Javier Del Ser, Lior Rokach, Francisco Herrera - Information Fusion, Inf. Fusion 2020 cited by 578

  9. Decision Trees

    Authors: Lior Rokach, Oded Maimon - Data Mining and Knowledge Discovery Handbook, The Data Mining and Knowledge Discovery Handbook 2005 cited by 577

  10. Approximating XGBoost with an interpretable decision tree

    Authors: Omer Sagi, Lior Rokach - Information Sciences, Inf. Sci. 2021 cited by 523

  11. Recommender Systems: Techniques, Applications, and Challenges

    Authors: Francesco Ricci, Lior Rokach, Bracha Shapira - Recommender Systems Handbook 2021 cited by 172

  12. Clustering Methods

    Authors: Lior Rokach, Oded Maimon - Data Mining and Knowledge Discovery Handbook, The Data Mining and Knowledge Discovery Handbook 2005 cited by 878

  13. Decision forest: Twenty years of research

    Authors: Lior Rokach - Information Fusion, Inf. Fusion 2015 cited by 470

  14. Explainable decision forest: Transforming a decision forest into an interpretable tree

    Authors: Omer Sagi, Lior Rokach - Information Fusion, Inf. Fusion 2020 cited by 188

  15. Recommender Systems: Introduction and Challenges

    Authors: Francesco Ricci, Lior Rokach, Bracha Shapira - Recommender Systems Handbook 2015 cited by 829

  16. Data Mining and Knowledge Discovery Handbook

    Authors: Oded Maimon, Lior Rokach - 2005 cited by 2,215

  17. Top-down induction of decision trees classifiers - a survey

    Authors: Lior Rokach, Oded Maimon - IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), IEEE Trans. Syst. Man Cybern. Part C 2005 cited by 785

  18. Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2016, Boston, MA, USA, September 15, 2016

    Authors: Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach - DLRS@RecSys 2016 cited by 210

  19. Molecule generation using transformers and policy gradient reinforcement learning

    Authors: Eyal Mazuz, Guy Shtar, Bracha Shapira, Lior Rokach - Scientific Reports 2023 cited by 66

  20. Data Mining with Decision Trees - Theory and Applications

    Authors: Lior Rokach, Oded Maimon - Series in machine perception and artificial intelligence 2007 cited by 1,289

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

    Authors: Guy Shtar, Lior Rokach, Bracha Shapira - PLoS ONE 2019 cited by 101

  22. Enhancing social network hate detection using back translation and GPT-3 augmentations during training and test-time

    Authors: Seffi Cohen, Dan Presil, Or Katz, Ofir Arbili, Shvat Messica, Lior Rokach - Information Fusion, Inf. Fusion 2023 cited by 26

  23. Fast-CBUS: A fast clustering-based undersampling method for addressing the class imbalance problem

    Authors: Nir Ofek, Lior Rokach, Roni Stern, Asaf Shabtai - Neurocomputing 2017 cited by 134

  24. CaSTLe – Classification of single cells by transfer learning: Harnessing the power of publicly available single cell RNA sequencing experiments to annotate new experiments

    Authors: Yuval Lieberman, Lior Rokach, Tal Shay - PLoS ONE 2018 cited by 132