World's Best Scientists 2026 revealed!
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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
126
Citations
71815
World Ranking
113
National Ranking
67

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2014 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For outstanding contributions to information retrieval and the development of search engines

Overview

W. Bruce Croft is affiliated with the University of Massachusetts Amherst in the United States. Their research primarily spans the field of Computer Science, with a focus on several subfields, including Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Science Applications, and Transportation.

The main topics covered in their body of work include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Expert finding and Q&A systems
  • Multimodal Machine Learning Applications
  • Information Retrieval and Search Behavior
  • Speech and dialogue systems
  • Recommender Systems and Techniques

Their recent scholarly output features papers published in key venues such as arXiv (Cornell University), ACM Transactions on Information Systems, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Journal of the Association for Information Science and Technology, and Proceedings of the 31st ACM International Conference on Information & Knowledge Management.

Selected recent papers include:

  • "A Non-Factoid Question-Answering Taxonomy," 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • "Analyzing clarification in asynchronous information-seeking conversations," 2021, Journal of the Association for Information Science and Technology
  • "Stochastic Optimization of Text Set Generation for Learning Multiple Query Intent Representations," 2022, Proceedings of the 31st ACM International Conference on Information & Knowledge Management
  • "ANTIQUE: A Non-factoid Question Answering Benchmark," 2020, Lecture notes in computer science
  • "Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search," 2020, arXiv (Cornell University)

Frequent collaborators in their research include Hamed Zamani, Helia Hashemi, Cen Chen, Falk Scholer, and Mark Sanderson. These coauthors have contributed on multiple projects, with some partnerships resulting in six or more joint publications.

The venues where W. Bruce Croft frequently publishes are:

  • arXiv (Cornell University)
  • ACM Transactions on Information Systems
  • Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • Journal of the Association for Information Science and Technology
  • Proceedings of the 31st ACM International Conference on Information & Knowledge Management

In 2014, W. Bruce Croft received the Edward J. McCluskey Technical Achievement Award from the IEEE Computer Society for contributions to information retrieval and the development of search engines.

Best Publications

  • A language modeling approach to information retrieval

    Jay M. Ponte;W. Bruce Croft

  • Information filtering and information retrieval: two sides of the same coin?

    Nicholas J. Belkin;W. Bruce Croft

  • Quary Expansion Using Local and Global Document Analysis

    Jinxi Xu;W. Bruce Croft

  • Relevance-Based Language Models

    Victor Lavrenko;W. Bruce Croft

  • Search Engines: Information Retrieval in Practice

    Bruce Croft;Donald Metzler;Trevor Strohman

  • LDA-based document models for ad-hoc retrieval

    Xing Wei;W. Bruce Croft

  • Language Is a Complex Adaptive System: Position Paper

    Clay Beckner;Richard Blythe;Joan Bybee;Morten H. Christiansen

  • A Markov random field model for term dependencies

    Donald Metzler;W. Bruce Croft

  • Searching distributed collections with inference networks

    James P. Callan;Zhihong Lu;W. Bruce Croft

  • Deriving concept hierarchies from text

    Mark Sanderson;Bruce Croft

  • Evaluation of an inference network-based retrieval model

    Howard Turtle;W. Bruce Croft

  • A language modeling approach to information retrieval

    Unknown

  • The INQUERY Retrieval System

    James P. Callan;W. Bruce Croft;Stephen M. Harding

  • Predicting query performance

    Steve Cronen-Townsend;Yun Zhou;W. Bruce Croft

  • A Deep Relevance Matching Model for Ad-hoc Retrieval

    Jiafeng Guo;Yixing Fan;Qingyao Ai;W. Bruce Croft

  • A general language model for information retrieval

    Fei Song;W. Bruce Croft

  • Inference Networks for Document Retrieval

    Howard Turtle;W. Bruce Croft

  • Improving the effectiveness of information retrieval with local context analysis

    Jinxi Xu;W. Bruce Croft

  • Searching distributed collections with inference networks

    Unknown

  • Combining classifiers in text categorization

    Leah S. Larkey;W. Bruce Croft

  • Lexical ambiguity and information retrieval

    Robert Krovetz;W. Bruce Croft

  • An association thesaurus for information retrieval

    Yufeng Jing;W. Bruce Croft

Frequent Co-Authors

Donald Metzler
Donald Metzler Google (United States)
Jiafeng Guo
Jiafeng Guo Chinese Academy of Sciences
Yongfeng Zhang
Yongfeng Zhang Rutgers, The State University of New Jersey
Michael Bendersky
Michael Bendersky Google (United States)
James Allan
James Allan University of Massachusetts Amherst
Nicholas J. Belkin
Nicholas J. Belkin Rutgers, The State University of New Jersey
Justin Zobel
Justin Zobel University of Melbourne
Mark Sanderson
Mark Sanderson RMIT University
Vanessa Murdock
Vanessa Murdock Amazon (United States)
Maarten de Rijke
Maarten de Rijke University of Amsterdam

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