H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 46 Citations 70,955 74 World Ranking 3403 National Ranking 1758

Research.com Recognitions

Awards & Achievements

2003 - ACM Fellow For contributions in pattern recognition and artificial intelligence.

1982 - IEEE Fellow For advances in pattern recognition and artificial intelligence

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Software

His primary areas of investigation include Artificial intelligence, Information retrieval, Multimedia, Mixed media and World Wide Web. His study in the field of Cluster analysis, Scene analysis and Linear discriminant analysis also crosses realms of Perspective. His Information retrieval research incorporates elements of Image, Thumbnail Image, Interface and Document clustering.

His Multimedia study incorporates themes from Matching, Camera phone, Paper document and Fingerprint. When carried out as part of a general World Wide Web research project, his work on Hyperlink and Electronic document is frequently linked to work in USable, therefore connecting diverse disciplines of study. He focuses mostly in the field of Hyperlink, narrowing it down to topics relating to Information capture and, in certain cases, Action.

His most cited work include:

  • Pattern classification and scene analysis (12961 citations)
  • Nearest neighbor pattern classification (8429 citations)
  • A Formal Basis for the Heuristic Determination of Minimum Cost Paths (6797 citations)

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

His primary areas of study are Artificial intelligence, Multimedia, Information retrieval, Computer vision and World Wide Web. His study in Natural language processing extends to Artificial intelligence with its themes. The concepts of his Multimedia study are interwoven with issues in User interface, Paper document, Mixed media and Presentation.

Many of his research projects under Information retrieval are closely connected to Technical information with Technical information, tying the diverse disciplines of science together. As a part of the same scientific family, Peter E. Hart mostly works in the field of Computer vision, focusing on Computer graphics and, on occasion, Image processing. Peter E. Hart interconnects Pattern recognition and Pattern recognition in the investigation of issues within Scene analysis.

He most often published in these fields:

  • Artificial intelligence (28.48%)
  • Multimedia (18.18%)
  • Information retrieval (13.94%)

What were the highlights of his more recent work (between 2003-2021)?

  • Multimedia (18.18%)
  • Artificial intelligence (28.48%)
  • Mixed media (9.09%)

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

His main research concerns Multimedia, Artificial intelligence, Mixed media, Computer hardware and World Wide Web. His work is dedicated to discovering how Multimedia, User interface are connected with CAN bus, Web service and Service and other disciplines. In his study, which falls under the umbrella issue of Artificial intelligence, Representation is strongly linked to Computer vision.

His Mixed media study combines topics in areas such as Hyperlink and Image matching. Peter E. Hart works mostly in the field of Computer hardware, limiting it down to concerns involving Software and, occasionally, Interface. His World Wide Web research is multidisciplinary, incorporating elements of Key and Information retrieval.

Between 2003 and 2021, his most popular works were:

  • Triggering applications based on a captured text in a mixed media environment (205 citations)
  • System And Methods For Creation And Use Of A Mixed Media Environment (188 citations)
  • Printable representations for time-based media (144 citations)

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

  • Artificial intelligence
  • Operating system
  • Software

Peter E. Hart mainly investigates Multimedia, Mixed media, World Wide Web, Hyperlink and Digital content. His studies deal with areas such as Web service, Service, CAN bus, User interface and Resource allocation as well as Multimedia. Multi tier is closely connected to Image matching in his research, which is encompassed under the umbrella topic of Mixed media.

His World Wide Web research includes themes of Pointer and Multimedia information. His Position research includes elements of Artificial intelligence and Computer vision. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Media content, Data structure and Output device.

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

Pattern Classification

Peter E. Hart;Richard O. Duda;David G. Stork.
(1973)

48622 Citations

Pattern classification and scene analysis

Richard O. Duda;Peter E. Hart.
A Wiley-Interscience Publication (1973)

21455 Citations

Nearest neighbor pattern classification

T. Cover;P. Hart.
IEEE Transactions on Information Theory (1967)

13783 Citations

A Formal Basis for the Heuristic Determination of Minimum Cost Paths

Peter E. Hart;Nils J. Nilsson;Bertram Raphael.
IEEE Transactions on Systems Science and Cybernetics (1968)

10977 Citations

Use of the Hough transformation to detect lines and curves in pictures

Richard O. Duda;Peter E. Hart.
Communications of The ACM (1972)

8810 Citations

Pattern Classification (2nd ed.)

Richard O. Duda;Peter E. Hart;David G. Stork.
(1999)

5361 Citations

The condensed nearest neighbor rule (Corresp.)

P. Hart.
IEEE Transactions on Information Theory (1968)

2485 Citations

Pattern Classification (2nd Edition)

Richard O. Duda;Peter E. Hart;David G. Stork.
(2000)

2467 Citations

Learning and executing generalized robot plans

Richard E. Fikes;Peter E. Hart;Nils J. Nilsson.
Artificial Intelligence (1993)

1577 Citations

Subjective bayesian methods for rule-based inference systems

Richard O. Duda;Peter E. Hart;Nils J. Nilsson.
national computer conference (1976)

1041 Citations

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