World's Best Scientists 2026 revealed!
Eugene Agichtein

Eugene Agichtein

D-Index & Metrics

Computer Science

D-Index
55
Citations
16545
World Ranking
4218
National Ranking
1991

Research.com Recognitions

  • 2012 - Fellow of Alfred P. Sloan Foundation

Overview

Eugene Agichtein is affiliated with Emory University in the United States. Their research spans multiple areas of computer science, with a significant focus on artificial intelligence and information systems. The primary fields of study in their work include:

  • Computer Science

The subfields within computer science that they contribute to are:

  • Artificial Intelligence
  • Information Systems
  • Computer Vision and Pattern Recognition
  • Sociology and Political Science
  • Management Science and Operations Research

Agichtein's research emphasizes a range of topics, particularly related to text analysis and conversational systems. The main topics of their work include:

  • Topic Modeling
  • Speech and Dialogue Systems
  • Text and Document Classification Technologies
  • Natural Language Processing Techniques
  • Advanced Text Analysis Techniques
  • Web Data Mining and Analysis
  • Sentiment Analysis and Opinion Mining

Frequent coauthors in their research collaborations are:

  • Ali Ahmadvand
  • Oleg Rokhlenko
  • Jason Ingyu Choi
  • Surya Kallumadi
  • Payam Karisani

Their work has been published in several venues, with multiple papers featured at some outlets. Key publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Information Retrieval
  • JMIR Formative Research
  • ACM SIGWEB Newsletter

Recent papers by Eugene Agichtein include:

  • "A Comparative Study of Demographic Attribute Inference in Twitter", 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "SEEFT: Planned Social Event Discovery and Attribute Extraction by Fusing Twitter and Web Content", 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Touch Screens for Touchy Issues: Analysis of Accessing Sensitive Information from Mobile Devices", 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Alexa, Let's Work Together: Introducing the First Alexa Prize TaskBot Challenge on Conversational Task Assistance", 2022, arXiv (Cornell University)
  • "CoSearcher: studying the effectiveness of conversational search refinement and clarification through user simulation", 2022, Information Retrieval

In 2012, Eugene Agichtein was recognized as a Fellow of the Alfred P. Sloan Foundation.

Best Publications

  • Finding high-quality content in social media

    Eugene Agichtein;Carlos Castillo;Debora Donato;Aristides Gionis

  • Snowball: extracting relations from large plain-text collections

    Eugene Agichtein;Luis Gravano

  • Improving web search ranking by incorporating user behavior information

    Eugene Agichtein;Eric Brill;Susan Dumais

  • Learning user interaction models for predicting web search result preferences

    Eugene Agichtein;Eric Brill;Susan Dumais;Robert Ragno

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

    Kira Radinsky;Eugene Agichtein;Evgeniy Gabrilovich;Shaul Markovitch

  • Discovering authorities in question answer communities by using link analysis

    Pawel Jurczyk;Eugene Agichtein

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

    Rick Barrett;Rick Cummings;Eugene Agichtein;Evgeniy Gabrilovich

  • Finding the right facts in the crowd: factoid question answering over social media

    Jiang Bian;Yandong Liu;Eugene Agichtein;Hongyuan Zha

  • Predicting information seeker satisfaction in community question answering

    Yandong Liu;Jiang Bian;Eugene Agichtein

  • Exploiting diverse knowledge sources via maximum entropy in named entity recognition

    Andrew Borthwick;John Sterling;Eugene Agichtein;Ralph Grishman

  • NYU: Description of the MENE Named Entity System as Used in MUC-7

    Andrew Borthwick;John Sterling;Eugene Agichtein;Ralph Grishman

  • TM-LDA: efficient online modeling of latent topic transitions in social media

    Yu Wang;Eugene Agichtein;Michele Benzi

  • Learning to recognize reliable users and content in social media with coupled mutual reinforcement

    Jiang Bian;Yandong Liu;Ding Zhou;Eugene Agichtein

  • Extracting Relations from Large Plain-Text Collections

    Eugene Agichtein;Luis Gravano

  • Learning search engine specific query transformations for question answering

    Eugene Agichtein;Steve Lawrence;Luis Gravano

  • Beyond dwell time: estimating document relevance from cursor movements and other post-click searcher behavior

    Qi Guo;Eugene Agichtein

  • Ready to buy or just browsing?: detecting web searcher goals from interaction data

    Qi Guo;Eugene Agichtein

  • Mining reference tables for automatic text segmentation

    Eugene Agichtein;Venkatesh Ganti

  • The influence of caption features on clickthrough patterns in web search

    Charles L. A. Clarke;Eugene Agichtein;Susan Dumais;Ryen W. White

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

    Rick Barrett;Rick Cummings;Eugene Agichtein;Evgeniy Gabrilovich

  • Towards predicting web searcher gaze position from mouse movements

    Qi Guo;Eugene Agichtein

Frequent Co-Authors

Luis Gravano
Luis Gravano Columbia University
Evgeniy Gabrilovich
Evgeniy Gabrilovich Google (United States)
Charles L. A. Clarke
Charles L. A. Clarke University of Waterloo
Eric Brill
Eric Brill Microsoft (United States)
Susan T. Dumais
Susan T. Dumais Microsoft (United States)
Ashwin Ram
Ashwin Ram Georgia Institute of Technology
Ryen W. White
Ryen W. White Microsoft (United States)
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Yoelle Maarek
Yoelle Maarek Amazon (United States)
Elizabeth A. Buffalo
Elizabeth A. Buffalo 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

If you’re interested in studying Computer Science in the USA, there are several flexible online degree options to advance your education and career. Many universities now offer associate’s degree online programs. These provide foundational knowledge and can help you land entry-level IT roles or prepare for further study.

For those aiming for a master’s credential but concerned about time, shortest masters degree offerings allow you to graduate faster and start your tech career sooner. These accelerated programs can be especially appealing if you already have a strong background in computer science or related fields.

It’s also wise to consider which grad degrees lead to the best job prospects. Explore the most useful masters degrees to make an informed decision and boost your value in a competitive job market.

Budget-conscious students should look into the cheapest online degrees to control costs while pursuing a high-quality education in computer science or related disciplines.

Best Scientists Citing Eugene Agichtein

Trending Scientists

Recently Published Articles