World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
26737
World Ranking
2828
National Ranking
1398

Research.com Recognitions

  • 2019 - ACM Paris Kanellakis Theory and Practice Award For seminal work on the foundations of streaming algorithms and their application to large scale data analytics.
  • 2009 - ACM Fellow For contributions to the analysis of large data sets and data streams.

Overview

Yossi Matias is affiliated with Google, based in the United States. Their research primarily spans the fields of Computer Science and Medicine, with a particular focus on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Health Informatics, Computer Vision and Pattern Recognition, and Oncology. The scope of their work includes detailed investigations into the application of machine learning and AI techniques in healthcare and medical imaging domains.

Their recent scholarly output includes significant publications in prominent venues such as Nature, Nature Neuroscience, Nature Medicine, NEJM AI, and arXiv. Key recent papers include:

  • Large language models encode clinical knowledge, 2023, Nature
  • Shared computational principles for language processing in humans and deep language models, 2022, Nature Neuroscience
  • Towards Expert-Level Medical Question Answering with Large Language Models, 2023, arXiv (Cornell University)
  • Toward expert-level medical question answering with large language models, 2025, Nature Medicine
  • Towards Generalist Biomedical AI, 2024, NEJM AI

Their frequent co-authors include Greg S. Corrado, Avinatan Hassidim, Yun Liu, Dale R. Webster, and Christopher Semturs.

The researchers have published extensively in several key venues, reflecting their broad scientific engagement:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature
  • Nature Medicine
  • bioRxiv (Cold Spring Harbor Laboratory)

Their work predominantly addresses topics such as Topic Modeling, Artificial Intelligence in Healthcare and Education, Machine Learning in Healthcare, AI in cancer detection, Music and Audio Processing, Natural Language Processing Techniques, and Flood Risk Assessment and Management.

Yossi Matias has received professional recognition including the ACM Paris Kanellakis Theory and Practice Award in 2019 for foundational contributions to streaming algorithms and their applications in large-scale data analytics. Additionally, they were named an ACM Fellow in 2009 for contributions to the analysis of large data sets and data streams.

Best Publications

  • Placing search in context: the concept revisited.

    Lev Finkelstein;Evgeniy Gabrilovich;Yossi Matias;Ehud Rivlin

  • Large language models encode clinical knowledge

    Unknown

  • The Space Complexity of Approximating the Frequency Moments

    Noga Alon;Yossi Matias;Mario Szegedy

  • The space complexity of approximating the frequency moments

    Noga Alon;Yossi Matias;Mario Szegedy

  • Method for reading server site anonymously

    Eran Gabber;Phillip B Gibbons;Yossi Matias;Alain J Mayer

  • New sampling-based summary statistics for improving approximate query answers

    Phillip B. Gibbons;Yossi Matias

  • Wavelet-based histograms for selectivity estimation

    Yossi Matias;Jeffrey Scott Vitter;Min Wang

  • Spectral bloom filters

    Saar Cohen;Yossi Matias

  • Shared computational principles for language processing in humans and deep language models

    Unknown

  • Fast incremental maintenance of approximate histograms

    Phillip B. Gibbons;Yossi Matias;Viswanath Poosala

  • Towards Expert-Level Medical Question Answering with Large Language Models

    Unknown

  • System for scheduling and controlling distribution of advertisement over communication network

    Micah A Adler;Phillip B Gibbons;Yossi Matias;ビー.ギボンズ フィリップ

  • Tracking join and self-join sizes in limited storage

    Noga Alon;Phillip B. Gibbons;Yossi Matias;Mario Szegedy

  • Tracking Join and Self-Join Sizes in Limited Storage

    Noga Alon;Phillip B. Gibbons;Yossi Matias;Mario Szegedy

  • Methods and apparatus for scheduling parallel processors

    Guy E. Blelloch;Phillip B. Gibbons;Yossi Matias;Girija J. Narlikar

  • System and method for providing anonymous remailing and filtering of electronic mail

    Eran Gabber;Phillip B. Gibbons;David Morris Kristol;Yossi Matias

  • Suggesting friends using the implicit social graph

    Maayan Roth;Assaf Ben-David;David Deutscher;Guy Flysher

  • Synopsis data structures for massive data sets

    Phillip B. Gibbons;Yossi Matias

  • How to Make Personalized Web Browising Simple, Secure, and Anonymous

    Eran Gabber;Phillip B. Gibbons;Yossi Matias;Alain J. Mayer

  • Dynamic Maintenance of Wavelet-Based Histograms

    Yossi Matias;Jeffrey Scott Vitter;Min Wang

  • The Queue-Read Queue-Write PRAM Model: Accounting for Contention in Parallel Algorithms

    Phillip B. Gibbons;Yossi Matias;Vijaya Ramachandran

  • Provably efficient scheduling for languages with fine-grained parallelism

    Guy E. Blelloch;Phillip B. Gibbons;Yossi Matias

  • Consistent, yet anonymous, Web access with LPWA

    Eran Gabber;Phillip B. Gibbons;David M. Kristol;Yossi Matias

  • Placing search in context

    Yossi Matias

Frequent Co-Authors

Phillip B. Gibbons
Phillip B. Gibbons Carnegie Mellon University
Avinatan Hassidim
Avinatan Hassidim Bar-Ilan University
Jeffrey Scott Vitter
Jeffrey Scott Vitter University of Mississippi
Uzi Vishkin
Uzi Vishkin University of Maryland, College Park
Vijaya Ramachandran
Vijaya Ramachandran The University of Texas at Austin
Michael P. Brenner
Michael P. Brenner University of Michigan–Ann Arbor
Guy E. Blelloch
Guy E. Blelloch Carnegie Mellon University
Uri Hasson
Uri Hasson Princeton University
Gal Chechik
Gal Chechik Bar-Ilan University
Eytan Ruppin
Eytan Ruppin National Institutes of Health

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