H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 77 Citations 32,144 418 World Ranking 531 National Ranking 323

Research.com Recognitions

Awards & Achievements

2008 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • World Wide Web
  • The Internet

Peter Brusilovsky focuses on Multimedia, Human–computer interaction, Adaptive hypermedia, World Wide Web and User modeling. His Multimedia study incorporates themes from Adaptive learning, Web intelligence, Web application, Educational technology and Adaptive system. His Human–computer interaction research incorporates themes from Annotation, User interface, Recommender system and TUTOR.

His Adaptive hypermedia study is concerned with Hypermedia in general. His work on Adaptive educational hypermedia, Web navigation, Web standards and Metadata as part of general World Wide Web study is frequently linked to Metaphor, therefore connecting diverse disciplines of science. His research investigates the link between User modeling and topics such as Adaptation that cross with problems in User profile, Set and Multimedia information systems.

His most cited work include:

  • Methods and Techniques of Adaptive Hypermedia (1852 citations)
  • Adaptive Hypermedia (1806 citations)
  • User models for adaptive hypermedia and adaptive educational systems (659 citations)

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

His main research concerns Multimedia, World Wide Web, Human–computer interaction, Context and Recommender system. He interconnects Web application, Educational technology and Adaptive learning in the investigation of issues within Multimedia. His work in the fields of Social navigation, Web navigation, Personalization and Hypertext overlaps with other areas such as Digital library.

His Human–computer interaction study combines topics in areas such as User interface, User modeling, Field, Interface and Visualization. Peter Brusilovsky has researched User modeling in several fields, including User interface design and Adaptation. His Recommender system research is multidisciplinary, incorporating elements of Relevance and Focus.

He most often published in these fields:

  • Multimedia (34.35%)
  • World Wide Web (32.26%)
  • Human–computer interaction (23.53%)

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

  • Recommender system (14.61%)
  • Human–computer interaction (23.53%)
  • World Wide Web (32.26%)

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

Peter Brusilovsky mostly deals with Recommender system, Human–computer interaction, World Wide Web, Context and Multimedia. The concepts of his Recommender system study are interwoven with issues in User interface, Field, Relevance and Focus. His Human–computer interaction research includes elements of Ranking and Interface.

Peter Brusilovsky performs multidisciplinary study on World Wide Web and Work in his works. Context overlaps with fields such as Visualization, Mathematics education and Data science in his research. Peter Brusilovsky combines subjects such as Task and Personalization with his study of Multimedia.

Between 2015 and 2021, his most popular works were:

  • Deep Keyphrase Generation (148 citations)
  • An Intelligent Interface for Learning Content: Combining an Open Learner Model and Social Comparison to Support Self-Regulated Learning and Engagement (50 citations)
  • Open Social Student Modeling for Personalized Learning (48 citations)

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

  • Artificial intelligence
  • The Internet
  • World Wide Web

Peter Brusilovsky mainly focuses on Recommender system, Artificial intelligence, Human–computer interaction, World Wide Web and Interface. His Recommender system research incorporates elements of User interface, Relevance, User control, Set and User studies. Many of his research projects under Human–computer interaction are closely connected to Reflection with Reflection, tying the diverse disciplines of science together.

His work blends World Wide Web and Context studies together. His Interface research is multidisciplinary, incorporating elements of Student engagement, Social comparison theory, Field, Multimedia and Self-regulated learning. His research in Multimedia intersects with topics in Python, Final examination and Login.

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

Adaptive Hypermedia

Peter Brusilovsky.
User Modeling and User-Adapted Interaction archive (2001)

3374 Citations

Methods and Techniques of Adaptive Hypermedia

Peter Brusilovsky.
User Modeling and User-adapted Interaction (1996)

2919 Citations

User models for adaptive hypermedia and adaptive educational systems

Peter Brusilovsky;Eva Millán.
The adaptive web (2007)

1272 Citations

Adaptive and Intelligent Web-based Educational Systems

Peter Brusilovsky;Christoph Peylo.
artificial intelligence in education (2003)

1006 Citations

ELM-ART: An Intelligent Tutoring System on World Wide Web

Peter Brusilovsky;Elmar W. Schwarz;Gerhard Weber.
intelligent tutoring systems (1996)

997 Citations

Web-based education for all: a tool for development adaptive courseware

Peter Brusilovsky;John Eklund;Elmar Schwarz.
the web conference (1998)

977 Citations

Adaptive and Intelligent Technologies for Web-based Eduction.

Peter Brusilovsky.
Künstliche Intell. (1999)

975 Citations

Adaptive Hypermedia and Adaptive Web-Based Systems

Peter Brusilovsky;Oliviero Stock;Carlo Strapparava.
(2000)

874 Citations

The adaptive web: methods and strategies of web personalization

Peter Brusilovsky;Alfred Kobsa;Wolfgang Nejdl.
(2007)

870 Citations

ELM-ART: An Adaptive Versatile System for Web-based Instruction

Gerhard Weber;Peter Brusilovsky.
artificial intelligence in education (2001)

832 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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