World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
62237
World Ranking
2505
National Ranking
1248

Overview

Thomas K. Landauer was affiliated with the University of Colorado Boulder in the United States. Throughout their career, they contributed to scientific research as a scholar connected to this institution.

There are no records of recent papers published by Thomas K. Landauer, and information about specific research topics, co-authors, or publication venues is not available. Likewise, data on book publications, main fields of study, subfields, or main topics of their work has not been documented.

The absence of listed awards or honors indicates that there is no publicly available information about distinctions received by this scientist.

Thomas K. Landauer is deceased. The existing data provides a limited overview mainly focused on their institutional affiliation without additional details on their academic output or research impact.

Best Publications

  • Indexing by Latent Semantic Analysis

    Scott Deerwester;Susan T. Dumais;George W. Furnas;Thomas K. Landauer

  • A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge.

    Thomas K. Landauer;Susan T. Dumais

  • An introduction to latent semantic analysis

    Thomas K Landauer;Peter W. Foltz;Darrell Laham

  • A mathematical model of the finding of usability problems

    Jakob Nielsen;Thomas K. Landauer

  • The vocabulary problem in human-system communication

    G. W. Furnas;T. K. Landauer;L. M. Gomez;S. T. Dumais

  • Handbook of latent semantic analysis

    Thomas K. Landauer;Danielle S. McNamara;Simon Dennis;Walter Kintsch

  • The Measurement of Textual Coherence with Latent Semantic Analysis.

    Peter W. Foltz;Walter Kintsch;Thomas K Landauer

  • Using latent semantic analysis to improve access to textual information

    S. T. Dumais;G. W. Furnas;T. K. Landauer;S. Deerwester

  • Trouble with Computers: Usefulness, Usability, and Productivity

    Thomas K. Landauer

  • Latent Semantic Analysis

    Thomas K Landauer

  • Computer information retrieval using latent semantic structure

    Scott Craig Deerwester;Susan Theresa Dumais;George William Furnas;Richard Allan Harshman

  • Information Retrieval using a Singular Value Decomposition Model of Latent Semantic Structure

    George W. Furnas;Scott Deerwester;Susan T. Durnais;Thomas K. Landauer

  • Computerized cross-language document retrieval using latent semantic indexing

    Thomas K. Landauer;Michael L. Littman

  • Formative design evaluation of superbook

    Dennis E. Egan;Joel R. Remde;Louis M. Gomez;Thomas K. Landauer

  • The trouble with computers

    Thomas K. Landauer

  • Structural differences between common and rare words: Failure of equivalence assumptions for theories of word recognition

    T.K. Landauer;L.A. Streeter

  • How Well Can Passage Meaning be Derived without Using Word Order? A Comparison of Latent Semantic Analysis and Humans

    Thomas K. Landauer;Darrell Laham;Bob Rehder;M. E. Schreiner

  • Automatic Cross-Language Retrieval Using Latent Semantic Indexing

    Susan T. Dumais;Todd A. Letsche;Michael L. Littman;Thomas K. Landauer

  • Searching large collections of text using multiple search engines concurrently

    Douglas A. Corey;Thomas K. Landauer;Karen E. Lochbaum

  • Research Methods in Human-Computer Interaction

    Thomas K. Landauer

  • Latent semantic analysis

    Thomas K. Landauer;Susan T. Dumais

Frequent Co-Authors

Susan T. Dumais
Susan T. Dumais Microsoft (United States)
George W. Furnas
George W. Furnas University of Michigan–Ann Arbor
Walter Kintsch
Walter Kintsch University of Colorado Boulder
Michael L. Littman
Michael L. Littman Brown University
Danielle S. McNamara
Danielle S. McNamara Arizona State University
Nicholas J. Belkin
Nicholas J. Belkin Rutgers, The State University of New Jersey
Christine L. Borgman
Christine L. Borgman University of California, Los Angeles
John Seely Brown
John Seely Brown Palo Alto Research Center
Robert E. Kraut
Robert E. Kraut Carnegie Mellon University
Sara J. Czaja
Sara J. Czaja Cornell University

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 the door to a wide range of related online degrees and lucrative career pathways. Many students choose to diversify their studies by pursuing fields that overlap with computer science, such as physics and engineering. For example, you might consider enrolling in a bachelor of science in physics online to gain strong analytical and problem-solving skills.

If you’re interested in the growing tech job market, a cheapest data science degree could provide a cost-effective pathway into roles such as data analyst or machine learning engineer. Electrical engineering is another high-demand field; reviewing online electrical engineering career outcomes can help you understand potential job opportunities and growth.

Additionally, earning certifications for jobs is an efficient way to boost your credentials and earning potential without a full degree. These related online options make it easier than ever to tailor your studies and advance your tech career from anywhere.

Best Scientists Citing Thomas K. Landauer

Recently Published Articles