Lior Rokach

31.6k total citations · 14 hit papers
283 papers, 16.7k citations indexed

About

Lior Rokach is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Lior Rokach has authored 283 papers receiving a total of 16.7k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Artificial Intelligence, 95 papers in Information Systems and 54 papers in Signal Processing. Recurrent topics in Lior Rokach's work include Machine Learning and Data Classification (44 papers), Advanced Malware Detection Techniques (38 papers) and Network Security and Intrusion Detection (35 papers). Lior Rokach is often cited by papers focused on Machine Learning and Data Classification (44 papers), Advanced Malware Detection Techniques (38 papers) and Network Security and Intrusion Detection (35 papers). Lior Rokach collaborates with scholars based in Israel, United States and United Kingdom. Lior Rokach's co-authors include Oded Maimon, Bracha Shapira, Yuval Elovici, Francesco Ricci⋆, Asaf Shabtai, Nir Nissim, Robert Moskovitch, Javier Del Ser, Salvador García and Sergio González and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.

In The Last Decade

Lior Rokach

271 papers receiving 15.9k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ensemble learning: A survey

2018 2.0k citations Lior Rokach et al. profile →
Ensemble-based classifiers

2009 1.9k citations Lior Rokach profile →
Data Mining and Knowledge Discovery Handbook

2010 1.4k citations Lior Rokach et al. profile →
Data Mining and Knowledge Discovery Handbook

2005 1.1k citations Lior Rokach et al. profile →
Recommender Systems Handbook

2015 1.0k citations Lior Rokach, Bracha Shapira et al. profile →
Data Mining with Decision Trees - Theory and Applications

2007 857 citations Lior Rokach et al. profile →
Top-Down Induction of Decision Trees Classifiers—A Survey

2005 562 citations Lior Rokach et al. profile →
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities

2020 392 citations Lior Rokach et al. Information Fusion profile →
Decision forest: Twenty years of research

2015 325 citations Lior Rokach Information Fusion profile →
Approximating XGBoost with an interpretable decision tree

2021 314 citations Lior Rokach et al. profile →
Explaining anomalies detected by autoencoders using Shapley Additive Explanations

2021 259 citations Bracha Shapira, Lior Rokach et al. Expert Systems with Applications profile →
Recommender Systems Handbook

2022 222 citations Lior Rokach, Bracha Shapira et al. profile →
Data Mining with Decision Trees

2013 210 citations Lior Rokach et al. profile →
Dynamic Malware Analysis in the Modern Era—A State of the Art Survey

2019 208 citations Yuval Elovici, Lior Rokach et al. profile →

Peers

Countries citing papers authored by Lior Rokach

Since Specialization

Citations

This map shows the geographic impact of Lior Rokach's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lior Rokach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lior Rokach more than expected).

Fields of papers citing papers by Lior Rokach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lior Rokach. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lior Rokach. The network helps show where Lior Rokach may publish in the future.

Co-authorship network of co-authors of Lior Rokach

This figure shows the co-authorship network connecting the top 25 collaborators of Lior Rokach. A scholar is included among the top collaborators of Lior Rokach based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lior Rokach. Lior Rokach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Machine learning-based stock picking using value investing and quality features 2024 ·Neural Computing and Applications ·(unknown), Lior Rokach	1
2	Iterative Feature eXclusion (IFX): Mitigating feature starvation in gradient boosted decision trees 2024 ·Knowledge-Based Systems ·(unknown), Lior Rokach	2
3	Trends of common laboratory biomarkers after SARS-CoV-2 infection 2024 ·Journal of Infection ·(unknown), Bracha Shapira, Ran D. Balicer, Lior Rokach, Noa Dagan	0
4	TLTD: Transfer Learning for Tabular Data 2023 ·Applied Soft Computing ·(unknown), (unknown), Lior Rokach, Shelly Levy‐Tzedek	12
5	Automatic Feature Engineering for Learning Compact Decision Trees 2023 ·Expert Systems with Applications ·(unknown), Meir Kalech, Lior Rokach	8
6	The course of patients with hairy cell leukemia during the omicron surge of the Covid‐19 pandemic 2023 ·Hematological Oncology ·Tamar Tadmor, (unknown), Tal Patalon, (unknown), Lior Rokach	0
7	Shapley-based feature augmentation 2023 ·Information Fusion ·(unknown), (unknown), (unknown), Lior Rokach, Bracha Shapira	12
8	Context aware Markov chains models 2023 ·Knowledge-Based Systems ·Ariel Bar, Bracha Shapira, Lior Rokach	0
9	Virtual Breathalyzer: Towards the Detection of Intoxication Using Motion Sensors of Commercial Wearable Devices 2022 ·Sensors ·Ben Nassi, (unknown), Lior Rokach, Yuval Elovici	4
10	Adversarial Vulnerability of Deep Learning Models in Analyzing Next Generation Sequencing Data 2020 ·(unknown), Ishai Rosenberg, Yair Motro, Lior Rokach, Jacob Moran‐Gilad	1
11	Ensemble Learning 2019 ·Lior Rokach	42
12	Securing keystroke dynamics from replay attacks 2019 ·Applied Soft Computing ·(unknown), Oded Margalit, Lior Rokach	10
13	Keystroke dynamics obfuscation using key grouping 2019 ·Expert Systems with Applications ·(unknown), Oded Margalit, Lior Rokach	6
14	Query-Efficient GAN Based Black-Box Attack Against Sequence Based Machine and Deep Learning Classifiers 2018 ·arXiv (Cornell University) ·Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach	5
15	Low Resource Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers. 2018 ·arXiv (Cornell University) ·Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach	4
16	Generic Black-Box End-to-End Attack against RNNs and Other API Calls Based Malware Classifiers. 2017 ·arXiv (Cornell University) ·Ishai Rosenberg, Asaf Shabtai, Lior Rokach, Yuval Elovici	13
17	Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories. 2016 ·Conference on Recommender Systems ·Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar	1
18	Sensor fault detection and diagnosis for autonomous systems 2013 ·Adaptive Agents and Multi-Agents Systems ·Eliahu Khalastchi, Meir Kalech, Lior Rokach	24
19	Introducing diversity among the models of multi-label classification ensemble. 2012 ·The European Symposium on Artificial Neural Networks ·(unknown), Lior Rokach, Bracha Shapira	1
20	An Exploration of Research Directions in Machine Ensemble Theory and Applications 2012 ·The European Symposium on Artificial Neural Networks ·Anı́bal R. Figueiras-Vidal, Lior Rokach	2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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