D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 56 Citations 14,514 140 World Ranking 2022 National Ranking 1106

Research.com Recognitions

Awards & Achievements

2018 - ACM Distinguished Member

2012 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • The Internet
  • World Wide Web
  • Artificial intelligence

Jaime Teevan mostly deals with Information retrieval, World Wide Web, Search engine, Web search query and Web query classification. He interconnects Information needs and Personalization in the investigation of issues within Information retrieval. The concepts of his World Wide Web study are interwoven with issues in Machine learning, Artificial intelligence and Set.

His work on Search analytics as part of general Search engine study is frequently connected to Personal information management, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Web search query research incorporates elements of Social Semantic Web and Semantic search. His studies deal with areas such as Social media and Social media optimization as well as Web query classification.

His most cited work include:

  • Personalizing search via automated analysis of interests and activities (803 citations)
  • Tackling the poor assumptions of naive bayes text classifiers (727 citations)
  • Implicit feedback for inferring user preference: a bibliography (688 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in World Wide Web, Information retrieval, Search engine, Crowdsourcing and Human–computer interaction. His work on Web page, Web navigation, Social search and Social network is typically connected to Personal information management as part of general World Wide Web study, connecting several disciplines of science. He combines topics linked to Personalization with his work on Information retrieval.

He is interested in Search analytics, which is a field of Search engine. His Search analytics study incorporates themes from Metasearch engine and Semantic search. His work deals with themes such as Workflow and Data science, which intersect with Crowdsourcing.

He most often published in these fields:

  • World Wide Web (42.25%)
  • Information retrieval (28.34%)
  • Search engine (22.46%)

What were the highlights of his more recent work (between 2016-2021)?

  • Human–computer interaction (11.76%)
  • Crowdsourcing (14.44%)
  • Human multitasking (3.74%)

In recent papers he was focusing on the following fields of study:

His main research concerns Human–computer interaction, Crowdsourcing, Human multitasking, Workflow and World Wide Web. His Human–computer interaction research is multidisciplinary, incorporating elements of Domain, Variety and Information needs. His study in Domain is interdisciplinary in nature, drawing from both Popularity and Personalization.

His Crowdsourcing study integrates concerns from other disciplines, such as Social psychology and Creativity. Jaime Teevan usually deals with Workflow and limits it to topics linked to Scheduling and Software engineering. His World Wide Web research is multidisciplinary, incorporating perspectives in Completion time and Feature.

Between 2016 and 2021, his most popular works were:

  • Guidelines for Human-AI Interaction (247 citations)
  • Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop (48 citations)
  • Supporting Workplace Detachment and Reattachment with Conversational Intelligence (29 citations)

In his most recent research, the most cited papers focused on:

  • The Internet
  • World Wide Web
  • Artificial intelligence

His scientific interests lie mostly in Workflow, Human–computer interaction, Crowdsourcing, Scheduling and World Wide Web. Jaime Teevan has researched Human–computer interaction in several fields, including Domain knowledge and Action. In his research, Jaime Teevan undertakes multidisciplinary study on Scheduling and Two-level scheduling.

His biological study spans a wide range of topics, including Domain and Variety.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Tackling the poor assumptions of naive bayes text classifiers

Jason D. M. Rennie;Lawrence Shih;Jaime Teevan;David R. Karger.
international conference on machine learning (2003)

1241 Citations

Personalizing search via automated analysis of interests and activities

Jaime Teevan;Susan T. Dumais;Eric Horvitz.
international acm sigir conference on research and development in information retrieval (2005)

1124 Citations

Implicit feedback for inferring user preference: a bibliography

Diane Kelly;Jaime Teevan.
international acm sigir conference on research and development in information retrieval (2003)

999 Citations

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.
human factors in computing systems (2010)

829 Citations

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.
human factors in computing systems (2004)

745 Citations

#TwitterSearch: a comparison of microblog search and web search

Jaime Teevan;Daniel Ramage;Merredith Ringel Morris.
web search and data mining (2011)

411 Citations

Systems, methods, and interfaces for providing personalized search and information access

J Horvitz Erik;Brook Steven Jaime;T Dumais Susan;ジェー.ホルビッツ エリック.
(2004)

382 Citations

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

Jaime Teevan;Eytan Adar;Rosie Jones;Michael A. S. Potts.
international acm sigir conference on research and development in information retrieval (2007)

378 Citations

Characterizing the influence of domain expertise on web search behavior

Ryen W. White;Susan T. Dumais;Jaime Teevan.
web search and data mining (2009)

339 Citations

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

Jaime Teevan;Susan T. Dumais;Daniel J. Liebling.
international acm sigir conference on research and development in information retrieval (2008)

334 Citations

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Best Scientists Citing Jaime Teevan

Ryen W. White

Ryen W. White

Microsoft (United States)

Publications: 97

Susan T. Dumais

Susan T. Dumais

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Adam Soroca

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Jorey Ramer

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Super Home Inc.

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Dennis Doughty

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Eric Horvitz

Eric Horvitz

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Nicholas J. Belkin

Nicholas J. Belkin

Rutgers, The State University of New Jersey

Publications: 35

Meredith Ringel Morris

Meredith Ringel Morris

Google (United States)

Publications: 35

Paul N. Bennett

Paul N. Bennett

Microsoft (United States)

Publications: 35

Joemon M. Jose

Joemon M. Jose

University of Glasgow

Publications: 29

Giulio Jacucci

Giulio Jacucci

University of Helsinki

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Samuel Kaski

Samuel Kaski

Aalto University

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Wolfgang Nejdl

Wolfgang Nejdl

University of Hannover

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Bradley E. Marshall

Bradley E. Marshall

Amazon (United States)

Publications: 25

Maarten de Rijke

Maarten de Rijke

University of Amsterdam

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Bernard J. Jansen

Bernard J. Jansen

Qatar Computing Research Institute

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