H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 30 Citations 4,717 189 World Ranking 8902 National Ranking 509

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Information retrieval

His primary areas of investigation include Information retrieval, Relevance, Artificial intelligence, Language model and Human–computer information retrieval. His Structure research extends to the thematically linked field of Information retrieval. His Relevance study deals with Ranking intersecting with Theoretical computer science.

His work in the fields of Representation and Probabilistic logic overlaps with other areas such as Subject-matter expert. His Language model study combines topics from a wide range of disciplines, such as Generative grammar and Offset. His work deals with themes such as Concept search and Retrievability, which intersect with Human–computer information retrieval.

His most cited work include:

  • Formal models for expert finding in enterprise corpora (507 citations)
  • A language modeling framework for expert finding (190 citations)
  • Broad expertise retrieval in sparse data environments (112 citations)

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

His main research concerns Information retrieval, Relevance, Artificial intelligence, World Wide Web and Ranking. His Information retrieval study combines topics in areas such as Language model and Session. His studies in Artificial intelligence integrate themes in fields like Machine learning and Natural language processing.

Leif Azzopardi is interested in Search engine, which is a branch of World Wide Web. His study in Ranking is interdisciplinary in nature, drawing from both Ranking, Clef and Web query classification. In Web query classification, Leif Azzopardi works on issues like Query optimization, which are connected to Query expansion.

He most often published in these fields:

  • Information retrieval (50.95%)
  • Relevance (18.63%)
  • Artificial intelligence (16.73%)

What were the highlights of his more recent work (between 2017-2021)?

  • Information retrieval (50.95%)
  • Human–computer interaction (7.60%)
  • Clef (4.94%)

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

Leif Azzopardi mostly deals with Information retrieval, Human–computer interaction, Clef, Information seeking and Data science. His Information retrieval study integrates concerns from other disciplines, such as Variety and User modeling. His work on Usability as part of general Human–computer interaction research is frequently linked to Natural, thereby connecting diverse disciplines of science.

The various areas that Leif Azzopardi examines in his Clef study include Artificial intelligence and Early detection. Leif Azzopardi interconnects Cover and Recommender system in the investigation of issues within Artificial intelligence. Sample and Expected utility hypothesis is closely connected to Economic model in his research, which is encompassed under the umbrella topic of Data science.

Between 2017 and 2021, his most popular works were:

  • Measuring the Utility of Search Engine Result Pages: An Information Foraging Based Measure (32 citations)
  • CLEF 2017 technologically assisted reviews in empirical medicine overview (31 citations)
  • Overview of the CLEF eHealth Evaluation Lab 2018 (24 citations)

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

  • Artificial intelligence
  • Statistics
  • The Internet

The scientist’s investigation covers issues in Information retrieval, Clef, Human–computer interaction, Relevance and Ranking. His study in Information retrieval focuses on Search engine in particular. His research integrates issues of Variety, Data-driven and Generalizability theory in his study of Search engine.

His Clef research integrates issues from Session, Dialog box and Metasearch engine. His research in Human–computer interaction intersects with topics in Natural language, Conceptualization and Spoken language. The study incorporates disciplines such as Active learning, Construct, Search algorithm and Boolean conjunctive query in addition to Ranking.

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

Formal models for expert finding in enterprise corpora

Krisztian Balog;Leif Azzopardi;Maarten de Rijke.
international acm sigir conference on research and development in information retrieval (2006)

794 Citations

A language modeling framework for expert finding

Krisztian Balog;Leif Azzopardi;Maarten de Rijke.
Information Processing and Management (2009)

271 Citations

Broad expertise retrieval in sparse data environments

Krisztian Balog;Toine Bogers;Leif Azzopardi;Maarten de Rijke.
international acm sigir conference on research and development in information retrieval (2007)

171 Citations

Investigating the relationship between language model perplexity and IR precision-recall measures

Leif Azzopardi;Mark Girolami;Keith van Risjbergen.
international acm sigir conference on research and development in information retrieval (2003)

170 Citations

Building simulated queries for known-item topics: an analysis using six european languages

Leif Azzopardi;Maarten de Rijke;Krisztian Balog.
international acm sigir conference on research and development in information retrieval (2007)

134 Citations

Integrating and Evaluating Neural Word Embeddings in Information Retrieval

Guido Zuccon;Bevan Koopman;Peter Bruza;Leif Azzopardi.
australasian document computing symposium (2015)

129 Citations

Retrievability: an evaluation measure for higher order information access tasks

Leif Azzopardi;Vishwa Vinay.
conference on information and knowledge management (2008)

115 Citations

Using the quantum probability ranking principle to rank interdependent documents

Guido Zuccon;Leif Azzopardi.
european conference on information retrieval (2010)

112 Citations

Advances in Information Retrieval Theory

Leif Azzopardi;Gabriella Kazai;Stephen Robertson;Stefan Rüger.
Lecture Notes in Computer Science (2009)

110 Citations

The economics in interactive information retrieval

Leif Azzopardi.
international acm sigir conference on research and development in information retrieval (2011)

106 Citations

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Best Scientists Citing Leif Azzopardi

Maarten de Rijke

Maarten de Rijke

University of Amsterdam

Publications: 69

Krisztian Balog

Krisztian Balog

University of Stavanger

Publications: 58

Craig Macdonald

Craig Macdonald

University of Glasgow

Publications: 36

Dawei Song

Dawei Song

Beijing Institute of Technology

Publications: 35

Iadh Ounis

Iadh Ounis

University of Glasgow

Publications: 31

ChengXiang Zhai

ChengXiang Zhai

University of Illinois at Urbana-Champaign

Publications: 24

Djoerd Hiemstra

Djoerd Hiemstra

Radboud University Nijmegen

Publications: 24

W. Bruce Croft

W. Bruce Croft

University of Massachusetts Amherst

Publications: 23

Fabio Crestani

Fabio Crestani

Universita della Svizzera Italiana

Publications: 21

Mark Sanderson

Mark Sanderson

RMIT University

Publications: 19

Allan Hanbury

Allan Hanbury

TU Wien

Publications: 19

Jie Tang

Jie Tang

Tsinghua University

Publications: 19

Min Zhang

Min Zhang

Tsinghua University

Publications: 17

Benno Stein

Benno Stein

Bauhaus University, Weimar

Publications: 17

Gareth J. F. Jones

Gareth J. F. Jones

Leeds Beckett University

Publications: 17

Ophir Frieder

Ophir Frieder

Georgetown University

Publications: 16

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