H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 43 Citations 9,415 133 World Ranking 3947 National Ranking 173

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Programming language

The scientist’s investigation covers issues in Information retrieval, Artificial intelligence, Data mining, Machine learning and Question answering. His study in the field of Relevance and Search engine is also linked to topics like Forum spam and Filter. His Relevance research is multidisciplinary, relying on both Ranking and Measure.

Gordon V. Cormack combines subjects such as Construct and Active learning with his study of Artificial intelligence. His study in the field of Ranking also crosses realms of Software deployment, Function and Recall. Gordon V. Cormack interconnects Ambiguity, Selection, Redundancy and Multiple choice in the investigation of issues within Question answering.

His most cited work include:

  • Novelty and diversity in information retrieval evaluation (757 citations)
  • Information Retrieval: Implementing and Evaluating Search Engines (401 citations)
  • Reciprocal rank fusion outperforms condorcet and individual rank learning methods (245 citations)

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

Gordon V. Cormack mainly investigates Information retrieval, Artificial intelligence, Recall, Machine learning and Data mining. His work on Relevance, Ranking and Search engine as part of general Information retrieval study is frequently connected to Track and Relevance feedback, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His work deals with themes such as Sampling, Query expansion, Test and Pooling, which intersect with Relevance.

As a part of the same scientific family, Gordon V. Cormack mostly works in the field of Ranking, focusing on Okapi BM25 and, on occasion, Ranking SVM. His Artificial intelligence research incorporates themes from Pattern recognition and Natural language processing. He has included themes like Gold standard and Programming language in his Natural language processing study.

He most often published in these fields:

  • Information retrieval (44.23%)
  • Artificial intelligence (23.08%)
  • Recall (12.18%)

What were the highlights of his more recent work (between 2015-2020)?

  • Information retrieval (44.23%)
  • Recall (12.18%)
  • Relevance (11.54%)

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

His primary areas of investigation include Information retrieval, Recall, Relevance, Track and Active learning. His biological study spans a wide range of topics, including Sentiment analysis, Training set, Property, Social media and Coding. His Relevance study combines topics in areas such as Test, Pooling, Ideal, Selection and Sampling.

His Active learning study incorporates themes from Search engine, Classifier, Artificial intelligence, Multimedia and Machine learning. His research investigates the connection between Artificial intelligence and topics such as Natural language processing that intersect with issues in Pattern recognition. His studies deal with areas such as Time complexity and Residual as well as Machine learning.

Between 2015 and 2020, his most popular works were:

  • Engineering Quality and Reliability in Technology-Assisted Review (42 citations)
  • Scalability of Continuous Active Learning for Reliable High-Recall Text Classification (37 citations)
  • TREC 2016 Total Recall Track Overview. (25 citations)

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

  • Statistics
  • Artificial intelligence
  • Programming language

Information retrieval, Recall, Relevance feedback, Relevance and Active learning are his primary areas of study. In his research, Gordon V. Cormack undertakes multidisciplinary study on Information retrieval and Track. The Relevance study combines topics in areas such as Test, Ideal, Precision and recall, Property and NIST.

His biological study deals with issues like Contrast, which deal with fields such as Artificial intelligence. His study looks at the intersection of Active learning and topics like Search engine with Active learning, Interface and Flexibility. The concepts of his Machine learning study are interwoven with issues in Classifier, Scalability, Data mining and Time complexity.

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

Data compression using dynamic Markov modelling

G. V. Cormack;R. N. S. Horspool.
The Computer Journal (1987)

357 Citations

Email Spam Filtering: A Systematic Review

Gordon V. Cormack.
(2008)

347 Citations

Spam Filtering Using Statistical Data Compression Models

Andrej Bratko;Bogdan Filipič;Gordon V. Cormack;Thomas R. Lynam.
Journal of Machine Learning Research (2006)

336 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

TREC 2005 Spam Track Overview

Gordon V. Cormack;Thomas R. Lynam.
text retrieval conference (2005)

316 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

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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