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 38 Citations 6,773 279 World Ranking 5118 National Ranking 74

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • World Wide Web
  • Programming language

His primary scientific interests are in Information retrieval, Context, Relevance, XML and World Wide Web. Jaap Kamps has researched Information retrieval in several fields, including XML validation and Document Structure Description. His multidisciplinary approach integrates Context and Track in his work.

Jaap Kamps combines subjects such as Ranking, Embodied cognition, User interface, Crowdsourcing and Data science with his study of Relevance. Jaap Kamps usually deals with XML and limits it to topics linked to Point and Rank, Recall, Precision and recall and Arithmetic mean. Specifically, his work in World Wide Web is concerned with the study of Information needs.

His most cited work include:

  • Using WordNet to measure semantic orientations of adjectives (585 citations)
  • Neural Ranking Models with Weak Supervision (256 citations)
  • Words with attitude (133 citations)

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

Jaap Kamps spends much of his time researching Information retrieval, World Wide Web, Context, Artificial intelligence and Relevance. His work on Ranking as part of general Information retrieval research is often related to Track, thus linking different fields of science. World Wide Web is closely attributed to Annotation in his research.

The Artificial intelligence study combines topics in areas such as Machine learning and Natural language processing. His Natural language processing research is multidisciplinary, incorporating elements of Document retrieval and Multilingualism. His work on Human–computer information retrieval as part of general Relevance study is frequently linked to Link, bridging the gap between disciplines.

He most often published in these fields:

  • Information retrieval (64.41%)
  • World Wide Web (25.42%)
  • Context (17.43%)

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

  • Information retrieval (64.41%)
  • World Wide Web (25.42%)
  • Artificial intelligence (11.38%)

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

His scientific interests lie mostly in Information retrieval, World Wide Web, Artificial intelligence, Context and Set. Jaap Kamps works in the field of Information retrieval, focusing on Topic model in particular. His World Wide Web study combines topics in areas such as Exploit and Data science.

The various areas that Jaap Kamps examines in his Artificial intelligence study include Ranking, Machine learning and Natural language processing. His work deals with themes such as Similarity, Metadata and Structured text, which intersect with Natural language processing. His Context research incorporates elements of Digital humanities, Sensemaking, Entity linking, Task and Selection.

Between 2015 and 2021, his most popular works were:

  • Neural Ranking Models with Weak Supervision (256 citations)
  • From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing (76 citations)
  • Learning to Learn from Weak Supervision by Full Supervision (35 citations)

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

  • Artificial intelligence
  • World Wide Web
  • Programming language

Jaap Kamps focuses on Artificial intelligence, World Wide Web, Information retrieval, Machine learning and Language model. The concepts of his Artificial intelligence study are interwoven with issues in Ranking, Feature and Natural language processing. His World Wide Web research is multidisciplinary, relying on both Context, Point of interest, Point, Exploit and Data science.

His research combines Information needs and Information retrieval. His study in Language model is interdisciplinary in nature, drawing from both Word and Preference. His study looks at the relationship between Representation and topics such as Set, which overlap with 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

Using WordNet to measure semantic orientations of adjectives

Jaap Kamps;Maarten Marx;Robert J. Mokken;Maarten de Rijke.
language resources and evaluation (2004)

987 Citations

Neural Ranking Models with Weak Supervision

Mostafa Dehghani;Hamed Zamani;Aliaksei Severyn;Jaap Kamps.
international acm sigir conference on research and development in information retrieval (2017)

256 Citations

Words with attitude

J. Kamps;M.J. Marx.
(2002)

200 Citations

Focused Access to XML Documents: 6th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2007 Dagstuhl Castle, Germany, December 17-19, 2007. Selected Papers

Norbert Fuhr;Jaap Kamps;Mounia Lalmas;Andrew Trotman.
Lecture Notes in Computer Science (2008)

177 Citations

Worker types and personality traits in crowdsourcing relevance labels

Gabriella Kazai;Jaap Kamps;Natasa Milic-Frayling.
conference on information and knowledge management (2011)

161 Citations

Crowdsourcing for book search evaluation: impact of hit design on comparative system ranking

Gabriella Kazai;Jaap Kamps;Marijn Koolen;Natasa Milic-Frayling.
international acm sigir conference on research and development in information retrieval (2011)

155 Citations

An analysis of human factors and label accuracy in crowdsourcing relevance judgments

Gabriella Kazai;Jaap Kamps;Natasa Milic-Frayling.
Information Retrieval (2013)

131 Citations

Monolingual Document Retrieval for European Languages

Vera Hollink;Jaap Kamps;Christof Monz;Maarten De Rijke.
Information Retrieval (2004)

125 Citations

Overview of the TREC 2013 contextual suggestion track

Adriel Dean-Hall;Charles L Clarke;Jaap Kamps;Paul Thomas.
text retrieval conference (2013)

122 Citations

Overview of the TREC 2012 Contextual Suggestion Track.

Adriel Dean-Hall;Charles L. A. Clarke;Jaap Kamps;Paul Thomas.
text retrieval conference (2012)

120 Citations

Best Scientists Citing Jaap Kamps

Maarten de Rijke

Maarten de Rijke

University of Amsterdam

Publications: 56

Krisztian Balog

Krisztian Balog

University of Stavanger

Publications: 39

W. Bruce Croft

W. Bruce Croft

University of Massachusetts Amherst

Publications: 34

Gabriella Kazai

Gabriella Kazai

Microsoft (United States)

Publications: 28

Fabio Crestani

Fabio Crestani

Universita della Svizzera Italiana

Publications: 27

Leif Azzopardi

Leif Azzopardi

University of Strathclyde

Publications: 24

Nick Craswell

Nick Craswell

Microsoft (United States)

Publications: 24

Mounia Lalmas

Mounia Lalmas

Spotify

Publications: 24

Iadh Ounis

Iadh Ounis

University of Glasgow

Publications: 22

Craig Macdonald

Craig Macdonald

University of Glasgow

Publications: 21

Charles L. A. Clarke

Charles L. A. Clarke

University of Waterloo

Publications: 21

maarten marx

maarten marx

University of Amsterdam

Publications: 19

Jamie Callan

Jamie Callan

Carnegie Mellon University

Publications: 17

Bing Liu

Bing Liu

Peking University

Publications: 17

Ralf Schenkel

Ralf Schenkel

University of Trier

Publications: 15

Jiafeng Guo

Jiafeng Guo

Chinese Academy of Sciences

Publications: 15

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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