H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 59 Citations 16,179 408 World Ranking 1703 National Ranking 942

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • The Internet

His scientific interests lie mostly in World Wide Web, Information retrieval, Data mining, Metadata and Artificial intelligence. His studies deal with areas such as Systems architecture and Protocol as well as World Wide Web. Many of his studies on Information retrieval involve topics that are commonly interrelated, such as Cluster analysis.

His Data mining research is mostly focused on the topic Vector space model. His Data element study, which is part of a larger body of work in Metadata, is frequently linked to Learning automata, bridging the gap between disciplines. Many of his research projects under Artificial intelligence are closely connected to Virginia tech with Virginia tech, tying the diverse disciplines of science together.

His most cited work include:

  • Combination of multiple searches (887 citations)
  • Extended Boolean information retrieval (857 citations)
  • Removal policies in network caches for World-Wide Web documents (429 citations)

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

His primary areas of study are World Wide Web, Information retrieval, Multimedia, Metadata and Artificial intelligence. Edward A. Fox connects World Wide Web with Open Archives Initiative in his study. The concepts of his Information retrieval study are interwoven with issues in Data mining and Image retrieval.

He regularly ties together related areas like Curriculum in his Multimedia studies. His specific area of interest is Curriculum, where Edward A. Fox studies Curriculum development. His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Natural language processing.

He most often published in these fields:

  • World Wide Web (37.20%)
  • Information retrieval (20.65%)
  • Multimedia (18.43%)

What were the highlights of his more recent work (between 2012-2021)?

  • World Wide Web (37.20%)
  • Web archiving (3.07%)
  • Information retrieval (20.65%)

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

His primary areas of investigation include World Wide Web, Web archiving, Information retrieval, Data science and Social media. His studies in World Wide Web integrate themes in fields like Multimedia, Set and Big data. His Web archiving research incorporates elements of Web service and Digital preservation.

His work on Topic model as part of general Information retrieval research is frequently linked to Geospatial analysis, bridging the gap between disciplines. His Data science research includes elements of Field, Context, Metadata and Service. His Social media research includes themes of Information needs, Information seeking, Public relations and Internet privacy.

Between 2012 and 2021, his most popular works were:

  • Automated arabic text classification with P-Stemmer, machine learning, and a tailored news article taxonomy (22 citations)
  • Read between the lines: A Machine Learning Approach for Disambiguating the Geo-location of Tweets (16 citations)
  • Focused crawler for events (14 citations)

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

  • Artificial intelligence
  • Operating system
  • The Internet

Edward A. Fox mainly investigates World Wide Web, Data science, Information retrieval, Artificial intelligence and Public relations. Edward A. Fox has included themes like Image retrieval and Big data in his World Wide Web study. He combines subjects such as Context, Metadata, Group, Sensemaking and Control with his study of Data science.

He integrates many fields in his works, including Information retrieval and Test. His research in Artificial intelligence intersects with topics in Machine learning, Data mining and Natural language processing. His Public relations study integrates concerns from other disciplines, such as Social media, Uses and gratifications theory and Information seeking.

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

Extended Boolean information retrieval

Gerard Salton;Edward A. Fox;Harry Wu.
Communications of The ACM (1983)

1538 Citations

Combination of multiple searches

Edward A. Fox;Joseph A. Shaw.
text retrieval conference (1994)

1097 Citations

Removal policies in network caches for World-Wide Web documents

Marc Abrams;Charles R. Standridge;Ghaleb Abdulla;Edward A. Fox.
acm special interest group on data communication (1996)

794 Citations

Caching Proxies: Limitations and Potentials

Marc Abrams;Charles R. Standridge;Ghaleb Abdulla;Stephen Williams.
World Wide Web J. (1995)

734 Citations

Social media use by government: from the routine to the critical

Andrea Kavanaugh;Edward A. Fox;Steven Sheetz;Seungwon Yang.
international conference on digital government research (2011)

673 Citations

Social media use by government: From the routine to the critical

Andrea L. Kavanaugh;Edward A. Fox;Steven D. Sheetz;Seungwon Yang.
Government Information Quarterly (2012)

671 Citations

Streams, structures, spaces, scenarios, societies (5s): A formal model for digital libraries

Marcos André Gonçalves;Edward A. Fox;Layne T. Watson;Neill A. Kipp.
ACM Transactions on Information Systems (2004)

500 Citations

Inverted files

Donna Harman;R. Baeza-Yates;Edward Fox;W. Lee.
Information Retrieval (1992)

494 Citations

Automatic document metadata extraction using support vector machines

Hui Han;C.L. Giles;E. Manavoglu;Hongyuan Zha.
acm ieee joint conference on digital libraries (2003)

468 Citations

Digital libraries

Edward A. Fox;Robert M. Akscyn;Richard K. Furuta;John J. Leggett.
Communications of The ACM (1995)

468 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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