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 39 Citations 6,528 105 World Ranking 4790 National Ranking 2367

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • World Wide Web

Fernando Diaz focuses on Information retrieval, Social media, Query expansion, Ranking and Web search query. Fernando Diaz specializes in Information retrieval, namely Relevance. Fernando Diaz usually deals with Social media and limits it to topics linked to Information extraction and Conditional random field.

His Query expansion research is multidisciplinary, relying on both Document retrieval, Artificial intelligence, Metadata and Natural language processing. His Ranking study incorporates themes from Latent semantic analysis, Ranking, Key and Task. His work in the fields of Web search query, such as Web query classification, Search analytics and Web search engine, intersects with other areas such as Data stream.

His most cited work include:

  • Processing Social Media Messages in Mass Emergency: A Survey (441 citations)
  • Learning to Match using Local and Distributed Representations of Text for Web Search (292 citations)
  • Extracting Information Nuggets from Disaster- Related Messages in Social Media (255 citations)

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

Fernando Diaz mainly investigates Information retrieval, Relevance, Artificial intelligence, Ranking and Search engine. Fernando Diaz has included themes like Ranking and World Wide Web, Information needs in his Information retrieval study. His Relevance study combines topics from a wide range of disciplines, such as Domain, Learning to rank and Representation.

His Artificial intelligence course of study focuses on Machine learning and Set. Fernando Diaz interconnects Key, Data mining and Information overload in the investigation of issues within Ranking. His Search engine research is multidisciplinary, incorporating elements of Cursor and Search engine indexing.

He most often published in these fields:

  • Information retrieval (46.15%)
  • Relevance (16.78%)
  • Artificial intelligence (16.08%)

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

  • Information retrieval (46.15%)
  • Ranking (14.69%)
  • Data science (11.19%)

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

His main research concerns Information retrieval, Ranking, Data science, Relevance and Ranking. Fernando Diaz studies Information retrieval, namely Search engine. His work in Ranking covers topics such as Task which are related to areas like Latent semantic analysis and Statistical assumption.

In his study, which falls under the umbrella issue of Data science, Event is strongly linked to Social media. His Relevance research incorporates themes from Data mining and Data set. His biological study deals with issues like Variety, which deal with fields such as Information access.

Between 2016 and 2021, his most popular works were:

  • Learning to Match using Local and Distributed Representations of Text for Web Search (292 citations)
  • Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. (133 citations)
  • Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems (82 citations)

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

  • Artificial intelligence
  • The Internet
  • World Wide Web

His scientific interests lie mostly in Information retrieval, Ranking, Ranking, Variety and Relevance. With his scientific publications, his incorporates both Information retrieval and Baseline. His Ranking research is multidisciplinary, incorporating perspectives in Contrast, Independence, Task, Artificial intelligence and Inverted index.

His Task research is multidisciplinary, relying on both Artificial neural network, Latent semantic analysis, Representation and Data structure. His studies deal with areas such as Event, Parsing and Information overload as well as Ranking. The various areas that Fernando Diaz examines in his Relevance study include Marketing and Recommender system.

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

Processing Social Media Messages in Mass Emergency: A Survey

Muhammad Imran;Carlos Castillo;Fernando Diaz;Sarah Vieweg.
ACM Computing Surveys (2015)

672 Citations

Extracting Information Nuggets from Disaster- Related Messages in Social Media

Muhammad Imran;Shady Elbassuoni;Carlos Castillo;Fernando Diaz.
international conference on information systems for crisis response and management (2013)

409 Citations

Learning to Match using Local and Distributed Representations of Text for Web Search

Bhaskar Mitra;Fernando Diaz;Nick Craswell.
the web conference (2017)

312 Citations

CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises

Alexandra Olteanu;Carlos Castillo;Fernando Diaz;Sarah Vieweg.
international conference on weblogs and social media (2014)

303 Citations

Temporal profiles of queries

Rosie Jones;Fernando Diaz.
ACM Transactions on Information Systems (2007)

264 Citations

Time is of the essence: improving recency ranking using Twitter data

Anlei Dong;Ruiqiang Zhang;Pranam Kolari;Jing Bai.
the web conference (2010)

251 Citations

Practical extraction of disaster-relevant information from social media

Muhammad Imran;Shady Elbassuoni;Carlos Castillo;Fernando Diaz.
the web conference (2013)

245 Citations

Improving the estimation of relevance models using large external corpora

Fernando Diaz;Donald Metzler.
international acm sigir conference on research and development in information retrieval (2006)

227 Citations

UMass at TREC 2004: Novelty and HARD

Nasreen Abdul-Jaleel;James Allan;W. Bruce Croft;Fernando Diaz.
text retrieval conference (2004)

223 Citations

Sources of evidence for vertical selection

Jaime Arguello;Fernando Diaz;Jamie Callan;Jean-Francois Crespo.
international acm sigir conference on research and development in information retrieval (2009)

206 Citations

Best Scientists Citing Fernando Diaz

W. Bruce Croft

W. Bruce Croft

University of Massachusetts Amherst

Publications: 74

Jimmy Lin

Jimmy Lin

University of Waterloo

Publications: 64

Muhammad Imran

Muhammad Imran

University of Cagliari

Publications: 57

Maarten de Rijke

Maarten de Rijke

University of Amsterdam

Publications: 53

James Allan

James Allan

University of Massachusetts Amherst

Publications: 37

Nick Craswell

Nick Craswell

Microsoft (United States)

Publications: 33

Mounia Lalmas

Mounia Lalmas

Spotify

Publications: 30

Carlos Castillo

Carlos Castillo

Pompeu Fabra University

Publications: 30

Jamie Callan

Jamie Callan

Carnegie Mellon University

Publications: 29

Iadh Ounis

Iadh Ounis

University of Glasgow

Publications: 29

Yi Chang

Yi Chang

Jilin University

Publications: 29

Craig Macdonald

Craig Macdonald

University of Glasgow

Publications: 26

Donald Metzler

Donald Metzler

Google (United States)

Publications: 24

Jiafeng Guo

Jiafeng Guo

Chinese Academy of Sciences

Publications: 24

Djoerd Hiemstra

Djoerd Hiemstra

Radboud University Nijmegen

Publications: 22

Krisztian Balog

Krisztian Balog

University of Stavanger

Publications: 21

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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