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 33 Citations 7,724 158 World Ranking 6569 National Ranking 384

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • Statistics

Paul Rayson mainly focuses on Artificial intelligence, Natural language processing, Corpus linguistics, Requirements engineering and Software engineering. As a member of one scientific family, Paul Rayson mostly works in the field of Artificial intelligence, focusing on Information retrieval and, on occasion, English vocabulary. The study incorporates disciplines such as Variation, Spelling and Word lists by frequency in addition to Natural language processing.

His Corpus linguistics research incorporates elements of Semantic field, Vocabulary, British National Corpus and Field. Paul Rayson has researched Requirements engineering in several fields, including Task and Natural language. His Software engineering study combines topics from a wide range of disciplines, such as Requirements management, Separation of concerns and Identification.

His most cited work include:

  • Word Frequencies in Written and Spoken English: based on the British National Corpus (437 citations)
  • Comparing Corpora using Frequency Profiling (345 citations)
  • From key words to key semantic domains (318 citations)

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

His primary areas of investigation include Artificial intelligence, Natural language processing, Corpus linguistics, Information retrieval and Spelling. His research on Artificial intelligence frequently connects to adjacent areas such as Software. His biological study spans a wide range of topics, including Annotation, Semantic field and Semantic computing.

Many of his studies on Corpus linguistics apply to Applied linguistics as well. His research combines Context and Information retrieval. His Spelling research includes elements of Variation and Early Modern English.

He most often published in these fields:

  • Artificial intelligence (43.55%)
  • Natural language processing (42.16%)
  • Corpus linguistics (19.51%)

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

  • Artificial intelligence (43.55%)
  • Natural language processing (42.16%)
  • Corpus linguistics (19.51%)

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

Paul Rayson mostly deals with Artificial intelligence, Natural language processing, Corpus linguistics, Task and Information retrieval. The various areas that Paul Rayson examines in his Artificial intelligence study include Field and Arabic. Paul Rayson is involved in the study of Natural language processing that focuses on Semantic analysis in particular.

His Corpus linguistics research incorporates themes from Finance, Pipeline, Metaphor, Content analysis and Collocation. The Finance study combines topics in areas such as Computational linguistics, Meaning, Relevance, Semantics and Automatic summarization. Information retrieval is often connected to Annotation in his work.

Between 2015 and 2021, his most popular works were:

  • The online use of Violence and Journey metaphors by patients with cancer, as compared with health professionals : a mixed methods study (88 citations)
  • Metaphor, Cancer and the End of Life: A Corpus-Based Study (35 citations)
  • In Search of Meaning : Lessons, Resources and Next Steps for Computational Analysis of Financial Discourse (25 citations)

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

  • Artificial intelligence
  • The Internet
  • Statistics

His primary areas of study are Natural language processing, Artificial intelligence, Information retrieval, Sentiment analysis and Cognition. In his study, Paul Rayson carries out multidisciplinary Natural language processing and Reuse research. Paul Rayson combines subjects such as Fold and Field with his study of Artificial intelligence.

His Information retrieval research is multidisciplinary, incorporating elements of Onomastics, Semantic lexicon, Spelling and Testbed. His work is dedicated to discovering how Sentiment analysis, Emoticon are connected with Social media and other disciplines. His Cognition study integrates concerns from other disciplines, such as Terminology, Cognitive decline, Requirements elicitation, Causal model and Data science.

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

Word Frequencies in Written and Spoken English: based on the British National Corpus

Geoffrey N. Leech;Paul Rayson;Andrew Wilson.
(2001)

1343 Citations

Comparing Corpora using Frequency Profiling

Paul Rayson;Roger Garside.
The Workshop on Comparing Corpora (2000)

812 Citations

From key words to key semantic domains

Paul Rayson.
International Journal of Corpus Linguistics (2008)

627 Citations

Matrix:a statistical method and software tool for linguistic analysis through corpus comparison

Paul Edward Rayson.
(2003)

334 Citations

Social differentiation in the use of English vocabulary: some analyses of the conversational component of the British National Corpus

Paul Rayson;Geoffrey N. Leech;Mary Hodges.
International Journal of Corpus Linguistics (1997)

299 Citations

The UCREL Semantic Analysis System

P Rayson;DE Archer;SL Piao;T McEnery.
(2004)

244 Citations

Extending the Cochran rule for the comparison of word frequencies between corpora

Paul Rayson;Damon Berridge;Brian Francis.
(2004)

224 Citations

VARD2 : a tool for dealing with spelling variation in historical corpora

Alistair Baron;Paul Rayson.
(2008)

204 Citations

The online use of Violence and Journey metaphors by patients with cancer, as compared with health professionals : a mixed methods study

Elena Semino;Zsófia Demjén;Jane Demmen;Veronika Koller.
BMJ (2017)

169 Citations

Semantics-based composition for aspect-oriented requirements engineering

Ruzanna Chitchyan;Awais Rashid;Paul Rayson;Robert Waters.
aspect-oriented software development (2007)

160 Citations

Best Scientists Citing Paul Rayson

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Daniel Amyot

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Julio Cesar Sampaio do Prado Leite

Julio Cesar Sampaio do Prado Leite

Pontifical Catholic University of Rio de Janeiro

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Benoit Baudry

Benoit Baudry

Royal Institute of Technology

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Jon Oberlander

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Joakim Nivre

Joakim Nivre

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Jacob Eisenstein

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Navendu Jain

Navendu Jain

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Jeffrey T. Hancock

Jeffrey T. Hancock

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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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