H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 64 Citations 20,871 258 World Ranking 1197 National Ranking 4

Research.com Recognitions

Awards & Achievements

2017 - 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

His primary scientific interests are in Information retrieval, World Wide Web, Search engine, Web search engine and Web query classification. Many of his research projects under Information retrieval are closely connected to Set with Set, tying the diverse disciplines of science together. His World Wide Web research is multidisciplinary, relying on both Information seeking and Service.

His work deals with themes such as Quality and Hyperlink, which intersect with Search engine. His Web search engine research includes elements of Search analytics, Web crawler, Web analytics and Semantic search. He works mostly in the field of The Internet, limiting it down to topics relating to Relevance feedback and, in certain cases, Systems design.

His most cited work include:

  • Twitter power: Tweets as electronic word of mouth (1597 citations)
  • Real life, real users, and real needs: a study and analysis of user queries on the web (1199 citations)
  • How are we searching the world wide web?: a comparison of nine search engine transaction logs (668 citations)

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

His primary areas of investigation include World Wide Web, Information retrieval, Search engine, Web search engine and Social media. Web crawler, Web design, Web page, Web analytics and Web modeling are subfields of World Wide Web in which his conducts study. His studies in Web search query, Web query classification, Search analytics, Metasearch engine and Semantic search are all subfields of Information retrieval research.

His Web search query study deals with Query expansion intersecting with Query language and Query optimization. His research integrates issues of The Internet and Information needs in his study of Search engine. His biological study spans a wide range of topics, including Persona, Advertising and Internet privacy.

He most often published in these fields:

  • World Wide Web (38.81%)
  • Information retrieval (30.35%)
  • Search engine (16.92%)

What were the highlights of his more recent work (between 2018-2021)?

  • Persona (14.43%)
  • Social media (15.92%)
  • Data-driven (3.48%)

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

Bernard J. Jansen spends much of his time researching Persona, Social media, Data-driven, Analytics and World Wide Web. He combines subjects such as Social psychology, End user, Perception and Data science with his study of Persona. Bernard J. Jansen interconnects Classifier, Artificial intelligence, Crowdsourcing and Advertising in the investigation of issues within Social media.

His Web analytics study in the realm of World Wide Web interacts with subjects such as Demographics. His Information needs research is multidisciplinary, incorporating elements of Information retrieval and Information design. His Information retrieval research focuses on Keyword search in particular.

Between 2018 and 2021, his most popular works were:

  • Developing an online hate classifier for multiple social media platforms (29 citations)
  • Online Hate Ratings Vary by Extremes: A Statistical Analysis (22 citations)
  • Confusion and information triggered by photos in persona profiles (17 citations)

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

  • The Internet
  • Artificial intelligence
  • World Wide Web

Bernard J. Jansen mainly investigates Persona, Social media, Analytics, Data science and Data-driven. His study in Persona is interdisciplinary in nature, drawing from both End user and Internet privacy. His Social media study improves the overall literature in World Wide Web.

His World Wide Web research is multidisciplinary, relying on both Conversation and Language identification. As a member of one scientific family, he mostly works in the field of Analytics, focusing on Open research and, on occasion, Big data, Market segmentation, Automation and Data mapping. His Data science research incorporates themes from Digital media, Diversification, Leverage and Best practice.

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

Twitter power: Tweets as electronic word of mouth

Bernard J. Jansen;Mimi Zhang;Kate Sobel;Abdur Chowdury.
Journal of the Association for Information Science and Technology (2009)

3158 Citations

Real life, real users, and real needs: a study and analysis of user queries on the web

Bernard J. Jansen;Amanda Spink;Tefko Saracevic.
Information Processing and Management (2000)

1880 Citations

How are we searching the world wide web?: a comparison of nine search engine transaction logs

Bernard J. Jansen;Amanda Spink.
formal methods (2006)

1123 Citations

Real life information retrieval: a study of user queries on the Web

Bernard J. Jansen;Amanda Spink;Judy Bateman;Tefko Saracevic.
international acm sigir conference on research and development in information retrieval (1998)

938 Citations

A review of web searching studies and a framework for future research

Bernard J. Jansen;Udo Pooch.
Journal of the Association for Information Science and Technology (2001)

697 Citations

From e-sex to e-commerce: Web search changes

A. Spink;B.J. Jansen;D. Wolfram;T. Saracevic.
IEEE Computer (2002)

683 Citations

Determining the informational, navigational, and transactional intent of Web queries

Bernard J. Jansen;Danielle L. Booth;Amanda Spink.
Information Processing and Management (2008)

581 Citations

Detecting rumors from microblogs with recurrent neural networks

Jing Ma;Wei Gao;Prasenjit Mitra;Sejeong Kwon.
international joint conference on artificial intelligence (2016)

503 Citations

Search log analysis: What it is, what's been done, how to do it

Bernard J. Jansen.
Library & Information Science Research (2006)

393 Citations

An examination of searcher's perceptions of nonsponsored and sponsored links during ecommerce Web searching

Bernard J. Jansen;Marc Resnick.
Journal of the Association for Information Science and Technology (2006)

338 Citations

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