World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
21159
World Ranking
6288
National Ranking
2812

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to web information retrieval technology
  • 2012 - ACM Distinguished Member

Overview

Evgeniy Gabrilovich is affiliated with Google in the United States and has contributed to research primarily in the fields of Social Sciences and Medicine. Their work focuses notably on Data-Driven Disease Surveillance and COVID-19 epidemiological studies, with additional interests in Urban Transport and Accessibility, Human Mobility and Location-Based Analysis, Health disparities and outcomes, COVID-19 and Mental Health, and Urban Green Space and Health.

Their published research spans topics related to epidemiology, transportation, modeling and simulation, health, and clinical psychology. Noteworthy recent papers include:

  • Global maps of travel time to healthcare facilities, 2020, Nature Medicine
  • Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.1), 2020, arXiv (Cornell University)
  • Impacts of social distancing policies on mobility and COVID-19 case growth in the US, 2021, Repository for Publications and Research Data (ETH Zurich)
  • Early social distancing policies in Europe, changes in mobility & COVID-19 case trajectories: Insights from Spring 2020, 2021, PLoS ONE

Gabrilovich's frequent coauthors include Tomer Shekel, Shailesh Bavadekar, Gregory A. Wellenius, Chaitanya Kamath, and Swapnil Vispute.

They have published multiple papers in venues such as arXiv (Cornell University), Nature Medicine, Repository for Publications and Research Data (ETH Zurich), PLoS ONE, and npj Digital Medicine.

Awards received include the IEEE Fellow distinction in 2021 for contributions to web information retrieval technology and recognition as an ACM Distinguished Member in 2012.

Best Publications

  • Placing search in context: the concept revisited.

    Lev Finkelstein;Evgeniy Gabrilovich;Yossi Matias;Ehud Rivlin

  • Computing semantic relatedness using Wikipedia-based explicit semantic analysis

    Evgeniy Gabrilovich;Shaul Markovitch

  • Knowledge vault: a web-scale approach to probabilistic knowledge fusion

    Xin Dong;Evgeniy Gabrilovich;Geremy Heitz;Wilko Horn

  • A Review of Relational Machine Learning for Knowledge Graphs

    Maximilian Nickel;Kevin Murphy;Volker Tresp;Evgeniy Gabrilovich

  • Overcoming the brittleness bottleneck using wikipedia: enhancing text categorization with encyclopedic knowledge

    Evgeniy Gabrilovich;Shaul Markovitch

  • A word at a time: computing word relatedness using temporal semantic analysis

    Kira Radinsky;Eugene Agichtein;Evgeniy Gabrilovich;Shaul Markovitch

  • Wikipedia-based semantic interpretation for natural language processing

    Evgeniy Gabrilovich;Shaul Markovitch

  • Proceedings of the 26th International Conference on World Wide Web

    Rick Barrett;Rick Cummings;Eugene Agichtein;Evgeniy Gabrilovich

  • Concept-Based Information Retrieval Using Explicit Semantic Analysis

    Ofer Egozi;Shaul Markovitch;Evgeniy Gabrilovich

  • Knowledge base completion via search-based question answering

    Robert West;Evgeniy Gabrilovich;Kevin Murphy;Shaohua Sun

  • Feature generation for text categorization using world knowledge

    Evgeniy Gabrilovich;Shaul Markovitch

  • Newsjunkie: providing personalized newsfeeds via analysis of information novelty

    Evgeniy Gabrilovich;Susan Dumais;Eric Horvitz

  • Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5

    Evgeniy Gabrilovich;Shaul Markovitch

  • Large-scale learning of word relatedness with constraints

    Guy Halawi;Gideon Dror;Evgeniy Gabrilovich;Yehuda Koren

  • Robust classification of rare queries using web knowledge

    Andrei Z. Broder;Marcus Fontoura;Evgeniy Gabrilovich;Amruta Joshi

  • Anatomy of the long tail: ordinary people with extraordinary tastes

    Sharad Goel;Andrei Broder;Evgeniy Gabrilovich;Bo Pang

  • PRINCIPLES AND METHODS OF PERSONALISING NEWS FLOW BY ANALYSING RECENTNESS AND DYNAMICS OF INFORMATION

    Khorvitts Ehrik Dzh;Gabrilovich Evgenij;Djume S Juzan T

  • From data fusion to knowledge fusion

    Xin Luna Dong;Evgeniy Gabrilovich;Geremy Heitz;Wilko Horn

  • Quizz: targeted crowdsourcing with a billion (potential) users

    Panagiotis G. Ipeirotis;Evgeniy Gabrilovich

  • Knowledge-based trust: estimating the trustworthiness of web sources

    Xin Luna Dong;Evgeniy Gabrilovich;Kevin Murphy;Van Dang

  • Proceedings of the 26th International Conference on World Wide Web Companion

    Rick Barrett;Rick Cummings;Eugene Agichtein;Evgeniy Gabrilovich

  • Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.0)

    Ahmet Aktay;Shailesh Bavadekar;Gwen Cossoul;John Davis

Frequent Co-Authors

Andrei Z. Broder
Andrei Z. Broder Google (United States)
Donald Metzler
Donald Metzler Google (United States)
Shaul Markovitch
Shaul Markovitch Technion – Israel Institute of Technology
Eugene Agichtein
Eugene Agichtein Emory University
Gregory A. Wellenius
Gregory A. Wellenius Boston University
Eric Horvitz
Eric Horvitz Microsoft (United States)
Vanessa Murdock
Vanessa Murdock Amazon (United States)
Xin Luna Dong
Xin Luna Dong Facebook (United States)

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