World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
18791
World Ranking
2186
National Ranking
1097

Research.com Recognitions

  • 2018 - ACM Distinguished Member
  • 2012 - ACM Senior Member

Overview

Jaime Teevan is affiliated with Microsoft in the United States and has contributed extensively to the field of computer science, primarily focusing on information systems and artificial intelligence. Their research spans a variety of topics, including expert finding and Q&A systems, mobile crowdsensing and crowdsourcing, knowledge management and sharing, advanced causal inference techniques, mental health research topics, topic modeling, and technology adoption and user behaviour.

Their published work includes several highly cited papers. Among these are:

  • The Effects of Remote Work on Collaboration among Information Workers, 2021, Nature Human Behaviour
  • Factors Affecting Response Quantity, Quality, and Speed for Questions Asked Via Social Network Status Messages, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "I Didn't Know I Looked Angry": Characterizing Observed Emotion and Reported Affect at Work, 2022, CHI Conference on Human Factors in Computing Systems
  • SearchBuddies: Bringing Search Engines into the Conversation, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • A Crowd-Powered Socially Embedded Search Engine, 2021, Proceedings of the International AAAI Conference on Web and Social Media

Jaime Teevan has collaborated frequently with several researchers, including:

  • Brent Hecht
  • Longqi Yang
  • Meredith Ringel Morris
  • Mengting Wan
  • Siddharth Suri

Their work frequently appears in notable publication venues such as:

  • Proceedings of the International AAAI Conference on Web and Social Media
  • Nature Human Behaviour
  • arXiv (Cornell University)
  • CHI Conference on Human Factors in Computing Systems
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

In terms of fields of study, Jaime Teevan's main domain is computer science, with significant work in subfields such as information systems, artificial intelligence, communication, computer science applications, and experimental and cognitive psychology.

Their contributions have been recognized with awards such as the ACM Distinguished Member in 2018 and ACM Senior Member in 2012.

Best Publications

  • Guidelines for Human-AI Interaction

    Saleema Amershi;Dan Weld;Mihaela Vorvoreanu;Adam Fourney

  • Tackling the poor assumptions of naive bayes text classifiers

    Jason D. M. Rennie;Lawrence Shih;Jaime Teevan;David R. Karger

  • Personalizing search via automated analysis of interests and activities

    Jaime Teevan;Susan T. Dumais;Eric Horvitz

  • Implicit feedback for inferring user preference: a bibliography

    Diane Kelly;Jaime Teevan

  • What do people ask their social networks, and why?: a survey study of status message q&a behavior

    Meredith Ringel Morris;Jaime Teevan;Katrina Panovich

  • The perfect search engine is not enough: a study of orienteering behavior in directed search

    Jaime Teevan;Christine Alvarado;Mark S. Ackerman;David R. Karger

  • How Work From Home Affects Collaboration: A Large-Scale Study of Information Workers in a Natural Experiment During COVID-19

    Longqi Yang;Sonia Jaffe;David Holtz;Siddharth Suri

  • System, method and interface to provide personalized retrieval and information access

    J Horvitz Erik;Brook Steven Jaime;T Dumais Susan;ジェー.ホルビッツ エリック

  • #TwitterSearch: a comparison of microblog search and web search

    Jaime Teevan;Daniel Ramage;Merredith Ringel Morris

  • Characterizing the influence of domain expertise on web search behavior

    Ryen W. White;Susan T. Dumais;Jaime Teevan

  • Information re-retrieval: repeat queries in Yahoo's logs

    Jaime Teevan;Eytan Adar;Rosie Jones;Michael A. S. Potts

  • To personalize or not to personalize: modeling queries with variation in user intent

    Jaime Teevan;Susan T. Dumais;Daniel J. Liebling

  • Large scale analysis of web revisitation patterns

    Eytan Adar;Jaime Teevan;Susan T. Dumais

  • Personal Information Management

    Jaime Teevan;William Jones

  • Relating web page change with revisitation patterns

    Eytan Adar;Jaime B. Teevan;Susan T. Dumais;Daniel J. Liebling

  • A Comparison of Information Seeking Using Search Engines and Social Networks

    Meredith Ringel Morris;Jaime Teevan;Katrina Panovich

  • Visual snippets: summarizing web pages for search and revisitation

    Jaime Teevan;Edward Cutrell;Danyel Fisher;Steven M. Drucker

  • Discovery is never by chance: designing for (un)serendipity

    Paul André;m.c. schraefel;Jaime Teevan;Susan T. Dumais

  • The web changes everything: understanding the dynamics of web content

    Eytan Adar;Jaime Teevan;Susan T. Dumais;Jonathan L. Elsas

  • Searching to eliminate personal information management

    Edward Cutrell;Susan T. Dumais;Jaime Teevan

  • Potential for personalization

    Jaime Teevan;Susan T. Dumais;Eric Horvitz

  • Modeling and analysis of cross-session search tasks

    Alexander Kotov;Paul N. Bennett;Ryen W. White;Susan T. Dumais

Frequent Co-Authors

Susan T. Dumais
Susan T. Dumais Microsoft (United States)
Meredith Ringel Morris
Meredith Ringel Morris Google (United States)
Shamsi T. Iqbal
Shamsi T. Iqbal Microsoft (United States)
Eric Horvitz
Eric Horvitz Microsoft (United States)
Ryen W. White
Ryen W. White Microsoft (United States)
Eytan Adar
Eytan Adar University of Michigan–Ann Arbor
Brent Hecht
Brent Hecht Northwestern University
Krysta M. Svore
Krysta M. Svore Microsoft (United States)
Michael S. Bernstein
Michael S. Bernstein Stanford University
Kevyn Collins-Thompson
Kevyn Collins-Thompson University of Michigan–Ann Arbor

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

Studying computer science in the USA opens doors to a wide variety of online degrees and career options. As technology reshapes industries, pursuing specialized education can give you a competitive advantage in the job market.

For those interested in digital security, online cybersecurity degree programs provide critical skills for protecting data and networks. If you are drawn to building projects and site management, consider construction management courses that align with technology-driven infrastructure work.

A background in computer science also complements a criminal justice degree, especially with the rise of cybercrime and digital evidence. Likewise, if you are detail-oriented and interested in financial technology, online accounting degrees offer pathways to careers in auditing, analysis, and management accounting.

Exploring these related online degrees can diversify your skill set and prepare you for emerging career opportunities in today's tech-focused world.

Best Scientists Citing Jaime Teevan

Trending Scientists