2026 Susan T. Dumais: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Best Female Scientists	119	567	539	338	318	384	101960
Computer Science	117	164	159	95	92	371	90928

Research.com Recognitions

2026 - Research.com Computer Science in United States Leader Award
2025 - Research.com Best Female Scientists 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
2015 - Fellow of the American Academy of Arts and Sciences
2014 - ACM Athena Lecturer Award For contributions to algorithms and interfaces for interactive information retrieval.
2011 - Member of the National Academy of Engineering For innovation and leadership in organizing, accessing, and interacting with information.
2006 - ACM Fellow For research contributions to information retrieval and human-computer interaction.

Overview

Susan T. Dumais is affiliated with Microsoft in the United States and focuses on research primarily within the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Computer Science Applications, and Information Systems and Management.

Their research touches on multiple main topics, which include:

Complex Network Analysis Techniques
Mobile Crowdsensing and Crowdsourcing
Personal Information Management and User Behavior
Usability and User Interface Design
Machine Learning and Data Classification
Music and Audio Processing
Web Data Mining and Analysis

Recent papers authored or co-authored by Susan T. Dumais include:

Meta Label Correction for Noisy Label Learning (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
Towards Supporting Search over Trending Events with Social Media (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
Detecting Fake News With Weak Social Supervision (2020), published in IEEE Intelligent Systems
Configuring Audiences: A Case Study of Email Communication (2020), published in Proceedings of the ACM on Human-Computer Interaction
Characterizing Reading Time on Enterprise Emails (2020), published in arXiv (Cornell University)

They have frequently collaborated with the following co-authors:

Ahmed Hassan Awadallah
Guo-qing Zheng
Sanjay Kairam
Meredith Ringel Morris
Jaime Teevan

The venues in which Susan T. Dumais has published multiple works include:

Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the International AAAI Conference on Web and Social Media
IEEE Intelligent Systems
Proceedings of the ACM on Human-Computer Interaction
arXiv (Cornell University)

Awards received by Susan T. Dumais include:

Fellow of the American Academy of Arts and Sciences (2015)
ACM Athena Lecturer Award (2014) for contributions to algorithms and interfaces for interactive information retrieval
Member of the National Academy of Engineering (2011) for innovation and leadership in organizing, accessing, and interacting with information
ACM Fellow (2006) for research contributions to information retrieval and human-computer interaction

Best Publications

Indexing by Latent Semantic Analysis

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

19074
Citations
A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge.

Thomas K. Landauer;Susan T. Dumais

8904
Citations
Support vector machines

M.A. Hearst;S.T. Dumais;E. Osman;J. Platt

7011
Citations
Using linear algebra for intelligent information retrieval

Michael W. Berry;Susan T. Dumais;Gavin W. O'Brien

2491
Citations
A Bayesian Approach to Filtering Junk E-Mail

Mehran Sahami;Susan Dumais;David Heckerman;Eric Horvitz

2431
Citations
Inductive learning algorithms and representations for text categorization

Susan Dumais;John Platt;David Heckerman;Mehran Sahami

2430
Citations
The vocabulary problem in human-system communication

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

2270
Citations
Improving web search ranking by incorporating user behavior information

Eugene Agichtein;Eric Brill;Susan Dumais

1543
Citations
Latent Semantic Analysis.

Susan T. Dumais

1413
Citations
Hierarchical classification of Web content

Susan Dumais;Hao Chen

1305
Citations
Personalizing search via automated analysis of interests and activities

Jaime Teevan;Susan T. Dumais;Eric Horvitz

1219
Citations
Stuff I've Seen: A System for Personal Information Retrieval and Re-Use

Susan Dumais;Edward Cutrell;J. J. Cadiz;Gavin Jancke

1216
Citations
A technique which utilizes a probabilistic classifier to detect "junk" e-mail

Eric Horvitz;David E. Heckerman;Susan T. Dumais;Mehran Sahami

1143
Citations
Characterizing Microblogs with Topic Models

Daniel Ramage;Susan T. Dumais;Daniel J. Liebling

1062
Citations
Using latent semantic analysis to improve access to textual information

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

1007
Citations
Personalized information delivery: an analysis of information filtering methods

Peter W. Foltz;Susan T. Dumais

994
Citations
Improving the retrieval of information from external sources

Susan T. Dumais

960
Citations
Computer information retrieval using latent semantic structure

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

761
Citations
Evaluating implicit measures to improve web search

Steve Fox;Kuldeep Karnawat;Mark Mydland;Susan Dumais

746
Citations
Bringing order to the Web: automatically categorizing search results

Hao Chen;Susan Dumais

736
Citations
Latent semantic analysis

Thomas K. Landauer;Susan T. Dumais

98
Citations

Frequent Co-Authors

Jaime Teevan Microsoft (United States)

Eric Horvitz Microsoft (United States)

Paul N. Bennett Microsoft (United States)

Ryen W. White Microsoft (United States)

Thomas K. Landauer University of Colorado Boulder

George W. Furnas University of Michigan–Ann Arbor

Edward Cutrell Microsoft (United States)

Eric Brill Microsoft (United States)

Kevyn Collins-Thompson University of Michigan–Ann Arbor

Krysta M. Svore Microsoft (United States)

External Links

Personal website of Susan T. Dumais Google Scholar page

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

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens the door to a wide variety of online credentials and flexible learning options. For those seeking an affordable step forward, several online affordable master's programs allow you to specialize further in areas like data science, software engineering, or cybersecurity—often while working full-time.

If you’re interested in leadership or educational roles, pursuing a doctorate in leadership or considering the cheapest online doctorate in educational leadership can set you apart for top-level positions in academia, industry, or non-profit sectors. These programs offer advanced expertise and the chance to lead technology-driven organizations.

For those at the beginning of their academic journey or looking for a fast track to entry-level tech jobs, the shortest associate degree program options can help you gain critical skills quickly. No matter your career goal or current experience, online education in computer science provides flexible, cost-effective pathways to launch or advance your tech career.