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 36 Citations 5,924 273 World Ranking 5641 National Ranking 126

Research.com Recognitions

Awards & Achievements

2009 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • Information retrieval

His primary areas of investigation include Information retrieval, World Wide Web, Relevance, Artificial intelligence and Query expansion. As part of the same scientific family, Fabio Crestani usually focuses on Information retrieval, concentrating on Statistical model and intersecting with Key. His work in World Wide Web covers topics such as Field which are related to areas like Sentiment analysis, Microblogging, Social media, Irony detection and Categorization.

His Relevance research incorporates themes from Document retrieval, Context, Multimedia information retrieval and Information system. The Artificial intelligence study combines topics in areas such as Machine learning, Data mining, Measure and Natural language processing. His work in Query expansion tackles topics such as Folksonomy which are related to areas like Vocabulary, Smoothing and Bookmarking.

His most cited work include:

  • Like It or Not: A Survey of Twitter Sentiment Analysis Methods (218 citations)
  • “Is this document relevant?…probably”: a survey of probabilistic models in information retrieval (197 citations)
  • User's perception of relevance of spoken documents (115 citations)

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

Fabio Crestani mainly investigates Information retrieval, World Wide Web, Artificial intelligence, Relevance and Data mining. His Information retrieval study frequently involves adjacent topics like Relevance feedback. His World Wide Web study incorporates themes from Context, Multimedia and Mobile search.

Fabio Crestani interconnects Ranking, Machine learning, Pattern recognition and Natural language processing in the investigation of issues within Artificial intelligence. The various areas that Fabio Crestani examines in his Relevance study include Task and Information needs. Fabio Crestani has researched Query expansion in several fields, including Query language and Web search query, Web query classification.

He most often published in these fields:

  • Information retrieval (50.94%)
  • World Wide Web (21.72%)
  • Artificial intelligence (16.09%)

What were the highlights of his more recent work (between 2015-2021)?

  • Information retrieval (50.94%)
  • Task (10.99%)
  • World Wide Web (21.72%)

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

Fabio Crestani spends much of his time researching Information retrieval, Task, World Wide Web, Social media and Context. His Information retrieval research is multidisciplinary, relying on both Ranking and Point of interest. His work deals with themes such as Natural language processing, Mobile search, Information needs and Artificial intelligence, which intersect with Task.

His World Wide Web study integrates concerns from other disciplines, such as Margin and Leverage. The study incorporates disciplines such as Sentiment analysis, Feeling and Data science in addition to Social media. His studies in Context integrate themes in fields like Resource management and Set.

Between 2015 and 2021, his most popular works were:

  • Like It or Not: A Survey of Twitter Sentiment Analysis Methods (218 citations)
  • A Test Collection for Research on Depression and Language Use (87 citations)
  • Asking Clarifying Questions in Open-Domain Information-Seeking Conversations (84 citations)

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

  • Artificial intelligence
  • The Internet
  • Statistics

Fabio Crestani mainly focuses on Information retrieval, Task, World Wide Web, Context and Ranking. His Information retrieval research is multidisciplinary, incorporating elements of Point of interest and Similarity. His Point of interest study combines topics from a wide range of disciplines, such as Popularity and Relevance.

His Task research includes themes of Social media, Personality, Fake news and Information needs. His studies deal with areas such as Margin, Categorization and Publication as well as World Wide Web. His Context study combines topics in areas such as Social network and Set.

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

“Is this document relevant?…probably”: a survey of probabilistic models in information retrieval

Fabio Crestani;Mounia Lalmas;Cornelis J. Van Rijsbergen;Iain Campbell.
ACM Computing Surveys (1998)

345 Citations

Like It or Not: A Survey of Twitter Sentiment Analysis Methods

Anastasia Giachanou;Fabio Crestani.
ACM Computing Surveys (2016)

321 Citations

Searching the Web by constrained spreading activation

Fabio Crestani;Puay Leng Lee.
Information Processing and Management (2000)

152 Citations

A Test Collection for Research on Depression and Language Use

David E. Losada;Fabio Crestani.
cross language evaluation forum (2016)

143 Citations

Effective search results summary size and device screen size: is there a relationship?

Simon Sweeney;Fabio Crestani.
Information Processing and Management (2006)

137 Citations

Soft computing in information retrieval: techniques and applications

Fabio Crestani;Gabriella Pasi.
(2000)

115 Citations

User's perception of relevance of spoken documents

Tassos Tombros;Fabio Crestani.
Journal of the Association for Information Science and Technology (2000)

115 Citations

Automatic authoring and construction of hypermedia for information retrieval

Maristella Agosti;Massimo Melucci;Fabio Crestani.
Multimedia Systems (1995)

112 Citations

Information Retrieval by Logical Imaging.

Fabio Crestani;C. J. van Rijsbergen.
Journal of Documentation (1995)

111 Citations

Methods for ranking information retrieval systems without relevance judgments

Shengli Wu;Fabio Crestani.
acm symposium on applied computing (2003)

99 Citations

Best Scientists Citing Fabio Crestani

Gabriella Pasi

Gabriella Pasi

University of Milano-Bicocca

Publications: 31

Maarten de Rijke

Maarten de Rijke

University of Amsterdam

Publications: 22

Thomas R. Gruber

Thomas R. Gruber

Apple (United States)

Publications: 20

Dawei Song

Dawei Song

Beijing Institute of Technology

Publications: 16

Mounia Lalmas

Mounia Lalmas

Spotify

Publications: 15

Paolo Rosso

Paolo Rosso

Universitat Politècnica de València

Publications: 15

Norbert Fuhr

Norbert Fuhr

University of Duisburg-Essen

Publications: 14

Jerome R. Bellegarda

Jerome R. Bellegarda

Apple (United States)

Publications: 14

Leif Azzopardi

Leif Azzopardi

University of Strathclyde

Publications: 14

Peter Bruza

Peter Bruza

Queensland University of Technology

Publications: 13

Fabrizio Sebastiani

Fabrizio Sebastiani

Institute of Information Science and Technologies

Publications: 12

Jian-Yun Nie

Jian-Yun Nie

University of Montreal

Publications: 12

Luis M. de Campos

Luis M. de Campos

University of Granada

Publications: 12

Enrique Herrera-Viedma

Enrique Herrera-Viedma

University of Granada

Publications: 11

Jaap Kamps

Jaap Kamps

University of Amsterdam

Publications: 10

Umberto Straccia

Umberto Straccia

National Research Council (CNR)

Publications: 10

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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