World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
98
Citations
46508
World Ranking
398
National Ranking
219

Research.com Recognitions

  • 2007 - AAAI Robert S. Engelmore Memorial Lecture Award For longstanding technical and entrepreneurial contributions to artificial intelligence, including seminal research on AI on the Web and the deployment of AI technologies in high-impact applications.
  • 2003 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the fields of software agents, web-based technology, and intelligent user interfaces.

Overview

Oren Etzioni is affiliated with the University of Washington in the United States and has contributed extensively to the field of Computer Science, with a particular focus on Artificial Intelligence. Their work spans a range of subfields including Computer Vision and Pattern Recognition, Safety Research, Cognitive Neuroscience, and Molecular Biology.

The scientist's recent research outputs include multiple papers published between 2020 and 2023 across prominent venues such as arXiv (Cornell University), Communications of the ACM, PubMed, and the Leibniz-Zentrum für Informatik (Schloss Dagstuhl). Noteworthy publications include:

  • "Green AI" (2020) in Communications of the ACM
  • "CORD-19: The COVID-19 Open Research Dataset" (2020) in PubMed
  • "Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence" (2022) in arXiv (Cornell University)
  • "Automating Moral Reasoning (Invited Paper)" (2022) in Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "The Semantic Scholar Open Data Platform" (2023) in arXiv (Cornell University)

Frequent collaborators include Daniel S. Weld, Doug Downey, Carissa Schoenick, Tom Hope, and Kyle Lo.

Oren Etzioni's work covers several main topics including Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Ethics and Social Impacts of AI, Psychology of Moral and Emotional Judgment, Biomedical Text Mining and Ontologies, and Semantic Web and Ontologies.

Publications have appeared frequently in these venues:

  • arXiv (Cornell University)
  • AI Magazine
  • Communications of the ACM
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Nature Machine Intelligence

The scientist has received recognition such as the AAAI Robert S. Engelmore Memorial Lecture Award in 2007 for technical and entrepreneurial contributions to artificial intelligence. In 2003, they were named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) for their contributions to software agents, web-based technology, and intelligent user interfaces.

Best Publications

  • Open information extraction from the web

    Oren Etzioni;Michele Banko;Stephen Soderland;Daniel S. Weld

  • Extracting Product Features and Opinions from Reviews

    Ana-Maria Popescu;Oren Etzioni

  • Web document clustering: a feasibility demonstration

    Oren Zamir;Oren Etzioni

  • Unsupervised named-entity extraction from the Web: An experimental study

    Oren Etzioni;Michael Cafarella;Doug Downey;Ana-Maria Popescu

  • Identifying Relations for Open Information Extraction

    Anthony Fader;Stephen Soderland;Oren Etzioni

  • Named Entity Recognition in Tweets: An Experimental Study

    Alan Ritter;Sam Clark;Oren Etzioni

  • Open information extraction from the web

    Michele Banko;Michael J. Cafarella;Stephen Soderland;Matt Broadhead

  • Grouper: a dynamic clustering interface to Web search results

    Oren Zamir;Oren Etzioni

  • Web-scale information extraction in knowitall: (preliminary results)

    Oren Etzioni;Michael Cafarella;Doug Downey;Stanley Kok

  • The World-Wide Web: quagmire or gold mine?

    Oren Etzioni

  • Green AI

    Roy Schwartz;Jesse Dodge;Noah A. Smith;Oren Etzioni

  • A scalable comparison-shopping agent for the World-Wide Web

    Robert B. Doorenbos;Oren Etzioni;Daniel S. Weld

  • Open Language Learning for Information Extraction

    Michael Schmitz;Stephen Soderland;Robert Bart

  • A softbot-based interface to the Internet

    Oren Etzioni;Daniel Weld

  • Scaling question answering to the Web

    Cody C. T. Kwok;Oren Etzioni;Daniel S. Weld

  • Open domain event extraction from twitter

    Alan Ritter;Oren Etzioni;Sam Clark

  • Towards a theory of natural language interfaces to databases

    Ana-Maria Popescu;Oren Etzioni;Henry Kautz

  • Towards adaptive Web sites: conceptual framework and case study

    Mike Perkowitz;Oren Etzioni

  • CORD-19: The Covid-19 Open Research Dataset

    Lucy Lu Wang;Kyle Lo;Yoganand Chandrasekhar;Russell Reas

  • Open information extraction: the second generation

    Oren Etzioni;Anthony Fader;Janara Christensen;Stephen Soderland

  • Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

    Peter Clark;Isaac Cowhey;Oren Etzioni;Tushar Khot

  • Open information extraction for the web

    Oren Etzioni;Michele Banko

Frequent Co-Authors

Daniel S. Weld
Daniel S. Weld University of Washington
Stephen Soderland
Stephen Soderland University of Washington
Alan Ritter
Alan Ritter Georgia Institute of Technology
Alon Halevy
Alon Halevy Facebook (United States)
Ashish Sabharwal
Ashish Sabharwal Allen Institute for Artificial Intelligence
Henry Kautz
Henry Kautz University of Virginia
Craig A. Knoblock
Craig A. Knoblock University of Southern California
Henry M. Levy
Henry M. Levy University of Washington
Hannaneh Hajishirzi
Hannaneh Hajishirzi University of Washington

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens up a wide range of online degree and career options. Many students are looking for flexible educational pathways that balance their budget and time commitments. Fortunately, a range of cheapest mba programs online now offer both computer science fundamentals and valuable business management skills, perfect for technology professionals aiming for leadership positions.

If your goal is to enter the workforce quickly, there are numerous fast degrees online that combine practical learning with strong career prospects. Additionally, those interested in specializing can look into targeted options like ai degree programs, which are increasingly in demand across tech sectors.

Time-conscious learners can benefit from 1 year master's programs—condensed graduate courses designed to deliver advanced knowledge at an accelerated pace. These pathways can fast-track your progression into high-growth careers and help you stay competitive in an evolving tech landscape.

Best Scientists Citing Oren Etzioni

Trending Scientists

Recently Published Articles