The rising landscape: A visual exploration of superstring revolutions in physics

Chaomei Chen, Jasna Kuljis

Research output: Contribution to journalReview articlepeer-review

46 Citations (Scopus)


Knowledge domain visualization is a visual exploratory approach to the study of the development of a knowledge domain. In this study, we focus on the practical issues concerning modeling and visualizing scientific revolutions. We study the growth patterns of specialties derived from citation and cocitation data on string theory in physics. Special attention is given to the two superstring revolutions since the 1980s. The superstring revolutions are visualized, animated, and analyzed using the general framework of Thomas Kuhn's structure of scientific revolutions. The implications of taking this approach are discussed.

Original languageEnglish
Pages (from-to)435-446
Number of pages12
JournalJournal of the American Society for Information Science and Technology
Issue number5
Publication statusPublished - 2003 Mar

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Networks and Communications
  • Artificial Intelligence


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