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 51 Citations 11,021 244 World Ranking 2795 National Ranking 75

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, Query expansion, Relevance, Test and Artificial intelligence. Mark Sanderson combines subjects such as Ambiguity, World Wide Web and Image retrieval with his study of Information retrieval. His work deals with themes such as Concept search and Task, which intersect with Query expansion.

The Relevance study combines topics in areas such as Ranking and Question answering. His Wilcoxon signed-rank test study in the realm of Test connects with subjects such as Sensitivity. His research investigates the link between Artificial intelligence and topics such as Natural language processing that cross with problems in Query language and RDF query language.

His most cited work include:

  • Deriving concept hierarchies from text (603 citations)
  • Advantages of query biased summaries in information retrieval (404 citations)
  • Word sense disambiguation and information retrieval (346 citations)

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

His primary scientific interests are in Information retrieval, Artificial intelligence, Natural language processing, World Wide Web and Search engine. His Information retrieval study incorporates themes from Test and Image retrieval. His Artificial intelligence study frequently links to other fields, such as Machine learning.

The concepts of his Natural language processing study are interwoven with issues in Word and Multilingualism. The various areas that Mark Sanderson examines in his Search engine study include Session, The Internet and Information needs. His biological study deals with issues like Ranking, which deal with fields such as Ranking.

He most often published in these fields:

  • Information retrieval (62.10%)
  • Artificial intelligence (20.70%)
  • Natural language processing (15.92%)

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

  • Information retrieval (62.10%)
  • Artificial intelligence (20.70%)
  • World Wide Web (14.65%)

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

Mark Sanderson mainly focuses on Information retrieval, Artificial intelligence, World Wide Web, Natural language processing and Search engine. His study of Question answering is a part of Information retrieval. His Artificial intelligence research includes elements of Machine learning and Relevance.

His studies in Relevance integrate themes in fields like Ranking and Ranking. His Information needs study in the realm of World Wide Web interacts with subjects such as Working group. The study incorporates disciplines such as Convolutional neural network and Information seeking in addition to Natural language processing.

Between 2015 and 2021, his most popular works were:

  • Informing the Design of Spoken Conversational Search: Perspective Paper (60 citations)
  • How Do People Interact in Conversational Speech-Only Search Tasks: A Preliminary Analysis (43 citations)
  • Evaluating Retrieval over Sessions: The TREC Session Track 2011-2014 (26 citations)

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

  • Artificial intelligence
  • The Internet
  • World Wide Web

His primary areas of investigation include Information retrieval, Artificial intelligence, World Wide Web, Natural language processing and Key. Mark Sanderson integrates Information retrieval and Graph in his studies. Mark Sanderson focuses mostly in the field of Artificial intelligence, narrowing it down to topics relating to Machine learning and, in certain cases, Affect and Multimedia.

His work in the fields of Information scent overlaps with other areas such as Mobile search, Seekers and Working group. His Natural language processing research is multidisciplinary, relying on both Feature and Voice search. His research in Test intersects with topics in Session, Metadata and Relevance.

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

Deriving concept hierarchies from text

Mark Sanderson;Bruce Croft.
international acm sigir conference on research and development in information retrieval (1999)

951 Citations

Advantages of query biased summaries in information retrieval

Anastasios Tombros;Mark Sanderson.
international acm sigir conference on research and development in information retrieval (1998)

614 Citations

Word sense disambiguation and information retrieval

Mark Sanderson.
international acm sigir conference on research and development in information retrieval (1994)

601 Citations

Information retrieval system evaluation: effort, sensitivity, and reliability

Mark Sanderson;Justin Zobel.
international acm sigir conference on research and development in information retrieval (2005)

396 Citations

Test Collection Based Evaluation of Information Retrieval Systems

Mark Sanderson.
(2010)

395 Citations

Analyzing geographic queries

M. Sanderson;J. Kohler.
(2004)

285 Citations

Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002

James Allan;Jay Aslam;Nicholas Belkin;Chris Buckley.
international acm sigir conference on research and development in information retrieval (2003)

280 Citations

INQUERY and TREC-7

James Allan;James P. Callan;Mark Sanderson;Jinxi Xu.
text retrieval conference (1998)

277 Citations

Spatio-textual indexing for geographical search on the web

Subodh Vaid;Christopher B. Jones;Hideo Joho;Mark Sanderson.
symposium on large spatial databases (2005)

252 Citations

Spatial information retrieval and geographical ontologies an overview of the SPIRIT project

Christopher B. Jones;R. Purves;A. Ruas;M. Sanderson.
international acm sigir conference on research and development in information retrieval (2002)

222 Citations

Best Scientists Citing Mark Sanderson

Henning Müller

Henning Müller

University of Applied Sciences and Arts Western Switzerland

Publications: 65

Maarten de Rijke

Maarten de Rijke

University of Amsterdam

Publications: 58

Tetsuya Sakai

Tetsuya Sakai

Waseda University

Publications: 50

Gareth JF Jones

Gareth JF Jones

Dublin City University

Publications: 49

W. Bruce Croft

W. Bruce Croft

University of Massachusetts Amherst

Publications: 46

Paul Clough

Paul Clough

University of Sheffield

Publications: 46

Alistair Moffat

Alistair Moffat

University of Melbourne

Publications: 37

Iadh Ounis

Iadh Ounis

University of Glasgow

Publications: 36

Mounia Lalmas

Mounia Lalmas

Spotify

Publications: 34

Leif Azzopardi

Leif Azzopardi

University of Strathclyde

Publications: 32

James Allan

James Allan

University of Massachusetts Amherst

Publications: 32

Fabio Crestani

Fabio Crestani

Universita della Svizzera Italiana

Publications: 31

Justin Zobel

Justin Zobel

University of Melbourne

Publications: 30

Joemon M. Jose

Joemon M. Jose

University of Glasgow

Publications: 29

Ryen W. White

Ryen W. White

Microsoft (United States)

Publications: 29

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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