H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 49 Citations 10,285 189 World Ranking 3059 National Ranking 123

Research.com Recognitions

Awards & Achievements

2015 - ACM Distinguished Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Information retrieval

Charles L. A. Clarke mainly investigates Information retrieval, Artificial intelligence, Relevance, Ranking and Search engine. Charles L. A. Clarke combines subjects such as Track, World Wide Web and Measure with his study of Information retrieval. The study incorporates disciplines such as Simplicity and Novelty in addition to Measure.

His biological study spans a wide range of topics, including Machine learning, Rank and Natural language processing. He works mostly in the field of Ranking, limiting it down to concerns involving Data mining and, occasionally, Simple API for XML, Efficient XML Interchange, XML Signature, Streaming XML and XML framework. His studies deal with areas such as Rewrite engine, Web crawler and Snippet as well as Search engine.

His most cited work include:

  • Novelty and diversity in information retrieval evaluation (757 citations)
  • Information Retrieval: Implementing and Evaluating Search Engines (401 citations)
  • Overview of the TREC 2009 Web Track (251 citations)

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

His main research concerns Information retrieval, World Wide Web, Data mining, Artificial intelligence and Search engine. Information retrieval and Context are frequently intertwined in his study. When carried out as part of a general World Wide Web research project, his work on The Internet, Social media and Information access is frequently linked to work in Track, therefore connecting diverse disciplines of study.

His Data mining research incorporates elements of Ranking, Cluster analysis and Pattern recognition. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Natural language processing. His Search engine research focuses on Rank and how it connects with Learning to rank.

He most often published in these fields:

  • Information retrieval (56.17%)
  • World Wide Web (17.02%)
  • Data mining (16.60%)

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

  • World Wide Web (17.02%)
  • Information retrieval (56.17%)
  • Search engine (14.04%)

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

Charles L. A. Clarke spends much of his time researching World Wide Web, Information retrieval, Search engine, Relevance and Data mining. His World Wide Web research integrates issues from Question answering, Context and Internet privacy. The study incorporates disciplines such as restrict and Pooling in addition to Information retrieval.

The Search engine study combines topics in areas such as Visualization, Eye tracking and Gaze. His Relevance research is multidisciplinary, incorporating elements of Ranking, Session, Set, Applied psychology and Push technology. Charles L. A. Clarke has researched Data mining in several fields, including Ranking, Proof of concept, Latency and Algorithm Selection.

Between 2015 and 2021, his most popular works were:

  • Exploring Conversational Search With Humans, Assistants, and Wizards (48 citations)
  • A Location-Query-Browse Graph for Contextual Recommendation (25 citations)
  • Dynamic Cutoff Prediction in Multi-Stage Retrieval Systems (21 citations)

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

  • Artificial intelligence
  • Operating system
  • Programming language

Information retrieval, Data mining, Relevance, Social media and Search engine are his primary areas of study. His Information retrieval research incorporates themes from Context, Point of interest and Pooling. His Data mining study also includes fields such as

  • Machine learning, which have a strong connection to Basis,
  • Artificial intelligence and related Result set.

His work carried out in the field of Relevance brings together such families of science as Ranking, Ranking and Tensor. In his research on the topic of Social media, Human–computer interaction is strongly related with Push technology. He has included themes like Conversational search, Multimedia and Interface in his Search engine study.

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.

Top Publications

Novelty and diversity in information retrieval evaluation

Charles L.A. Clarke;Maheedhar Kolla;Gordon V. Cormack;Olga Vechtomova.
international acm sigir conference on research and development in information retrieval (2008)

1057 Citations

Information Retrieval: Implementing and Evaluating Search Engines

Stefan Büttcher;Charles Clarke;Gordon V. Cormack.
(2010)

633 Citations

Overview of the TREC 2009 Web Track

Charles L. A. Clarke;Nick Craswell;Ian Soboroff.
text retrieval conference (2009)

422 Citations

Efficient and effective spam filtering and re-ranking for large web datasets

Gordon V. Cormack;Mark D. Smucker;Charles L. Clarke.
Information Retrieval (2011)

326 Citations

Exploiting redundancy in question answering

Charles L. A. Clarke;Gordon V. Cormack;Thomas R. Lynam.
international acm sigir conference on research and development in information retrieval (2001)

324 Citations

Reciprocal rank fusion outperforms condorcet and individual rank learning methods

Gordon V. Cormack;Charles L A Clarke;Stefan Buettcher.
international acm sigir conference on research and development in information retrieval (2009)

317 Citations

Frequency estimates for statistical word similarity measures

Egidio Terra;C. L. A. Clarke.
north american chapter of the association for computational linguistics (2003)

284 Citations

Relevance ranking for one to three term queries

Charles L. A. Clarke;Gordon V. Cormack;Elizabeth A. Tudhope.
Information Processing and Management (2000)

282 Citations

Efficient construction of large test collections

Gordon V. Cormack;Christopher R. Palmer;Charles L. A. Clarke.
international acm sigir conference on research and development in information retrieval (1998)

279 Citations

An Algebra for Structured Text Search and a Framework for its Implementation

Charles L. A. Clarke;Gordon V. Cormack;Forbes J. Burkowski.
The Computer Journal (1995)

270 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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