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

D-Index & Metrics

Computer Science

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

W. Bruce Croft publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where W. Bruce Croft sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 534 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

W. Bruce Croft D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where W. Bruce Croft sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 126 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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

Hamed Zamani
Hamed Zamani University of Massachusetts Amherst
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
Minghui Qiu
Minghui Qiu Alibaba Group (China)
Nicholas J. Belkin
Nicholas J. Belkin Rutgers, The State University of New Jersey
Mark Sanderson
Mark Sanderson RMIT University
Justin Zobel
Justin Zobel University of Melbourne

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

Pursuing Computer Science in the USA opens doors to a variety of educational routes and career options. Many students start their journey with an associates degree online, which can be a faster and more affordable way to build essential skills and enter the workforce.

For those looking to specialize or advance their careers, choosing what masters program should I do is a crucial decision. Highly popular fields within this domain include data science, cybersecurity, and software engineering.

Busy professionals or those seeking to quickly upgrade qualifications may consider a fastest online master’s degree program. These intensive, flexible programs help you upskill without pausing your career.

Additionally, affordability is key for many learners. Exploring options such as the cheapest online college can make attaining a Computer Science degree more accessible while minimizing student loan burdens.

Whether you’re starting with an associate, aiming for a master’s, or looking for budget-friendly paths, online degrees provide diverse opportunities to grow and succeed in the rapidly evolving tech industry.

Best Scientists Citing W. Bruce Croft

Trending Scientists

Recently Published Articles