2026 Ran El-Yaniv: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	44	7379	7162	123	117	124	16777

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

7379

7162

123

117

124

16777

Overview

Ran El-Yaniv is affiliated with Technion - Israel Institute of Technology in Israel. Their research primarily spans the field of Computer Science, with a focus on several subfields and topics related to artificial intelligence and machine learning.

The main areas of study include:

Artificial Intelligence
Computer Vision and Pattern Recognition
Radiology, Nuclear Medicine and Imaging
Signal Processing
Cognitive Neuroscience

Key research topics addressed by Ran El-Yaniv encompass:

Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
COVID-19 diagnosis using AI
Machine Learning and Data Classification
Advanced Neural Network Applications
Multimodal Machine Learning Applications
Domain Adaptation and Few-Shot Learning

Ran El-Yaniv has published extensively, with frequent contributions to arXiv (Cornell University) and other venues such as Zenodo (CERN European Organization for Nuclear Research) and Acta Ophthalmologica. Prominent recent papers include:

HydroNets: Leveraging River Structure for Hydrologic Modeling, 2020, arXiv (Cornell University)
DNF-Net: A Neural Architecture for Tabular Data, 2020, arXiv (Cornell University)
BebopNet: Deep neural models for personalized jazz improvisations, 2020, Zenodo (CERN European Organization for Nuclear Research)
Disrupting Deep Uncertainty Estimation Without Harming Accuracy, 2021, arXiv (Cornell University)
Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN, 2021, arXiv (Cornell University)

Collaborations are a consistent element of their work, with frequent co-authors including Ido Galil, Mohammed Dabbah, Zach Moshe, Guy Bar-Shalom, and Gal Elidan.

Best Publications

Online Computation and Competitive Analysis

Allan Borodin;Ran El-Yaniv

3317
Citations
Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Matthieu Courbariaux;Itay Hubara;Daniel Soudry;Ran El-Yaniv

3129
Citations
Quantized neural networks: training neural networks with low precision weights and activations

Itay Hubara;Matthieu Courbariaux;Daniel Soudry;Ran El-Yaniv

1788
Citations
Binarized Neural Networks

Itay Hubara;Matthieu Courbariaux;Daniel Soudry;Ran El-Yaniv

1442
Citations
On prediction using variable order Markov models

Ron Begleiter;Ran El-Yaniv;Golan Yona

568
Citations
Online Choice of Active Learning Algorithms

Yoram Baram;Ran El-Yaniv;Kobi Luz

555
Citations
Distributional word clusters vs. words for text categorization

Ron Bekkerman;Ran El-Yaniv;Naftali Tishby;Yoad Winter

468
Citations
Deep Anomaly Detection Using Geometric Transformations

Izhak Golan;Ran El-Yaniv

434
Citations
Texture mixing and texture movie synthesis using statistical learning

Z. Bar-Joseph;R. El-Yaniv;D. Lischinski;M. Werman

347
Citations
Selective Classification for Deep Neural Networks

Yonatan Geifman;Ran El-Yaniv

303
Citations
Can We Learn to Beat the Best Stock

A. Borodin;R. El-Yaniv;V. Gogan

286
Citations
Optimal Search and One-Way Trading Online Algorithms

Ran El-Yaniv;Amos Fiat;Richard M. Karp;G. Turpin

239
Citations
On the Foundations of Noise-free Selective Classification

Ran El-Yaniv;Yair Wiener

234
Citations
On feature distributional clustering for text categorization

Ron Bekkerman;Ran El-Yaniv;Naftali Tishby;Yoad Winter

198
Citations
Methods and systems of supervised learning of semantic relatedness

Ran El-Yaniv;David Yanay

190
Citations
SelectiveNet: A Deep Neural Network with an Integrated Reject Option

Yonatan Geifman;Ran El-Yaniv

153
Citations
Multi-way distributional clustering via pairwise interactions

Ron Bekkerman;Ran El-Yaniv;Andrew McCallum

148
Citations
Competitive analysis of financial games

R. El-Yaniv;A. Fiat;R. Karp;G. Turpin

139
Citations
Learn on Source, Refine on Target: A Model Transfer Learning Framework with Random Forests

Noam Segev;Maayan Harel;Shie Mannor;Koby Crammer

138
Citations
Competitive Optimal On-Line Leasing

Ran El-Yaniv;Ron Kaniel;Nathan Linial

121
Citations
Deep Active Learning over the Long Tail.

Yonatan Geifman;Ran El-Yaniv

106
Citations

Frequent Co-Authors

Allan Borodin University of Toronto

Ron Meir Technion – Israel Institute of Technology

Daniel Soudry Technion – Israel Institute of Technology

Yoshua Bengio University of Montreal

Ziv Bar-Joseph Carnegie Mellon University

Naftali Tishby Hebrew University of Jerusalem

Michael Werman Hebrew University of Jerusalem

Richard M. Karp University of California, Berkeley

Dani Lischinski Hebrew University of Jerusalem

Elad Yom-Tov Microsoft (United States)

External Links

Personal website of Ran El-Yaniv Google Scholar page

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