Why do we need algorithmic historiography?

Authors:
Eugene Garfield;A. I. Pudovkin;V. S. Istomin
Affiliations:
Institute for Scientific Information, 3501 Market Street, Philadelphia, PA;Institute of Marine Biology, Russian Academy of Sciences, Vladivostok 690041, Russia;Center for Teaching, Learning, and Technology, Washington State University, Pullman, WA
Venue:
Journal of the American Society for Information Science and Technology
Year:
2003

Citing 0
Cited 11

Combining bibliometrics, information retrieval, and relevance theory, Part 1: First examples of a synthesis: Research Articles

Journal of the American Society for Information Science and Technology
Visual overviews for discovering key papers and influences across research fronts

Journal of the American Society for Information Science and Technology
Toward a new way of mapping scientific fields: Authors' competence for publishing in scholarly journals

Journal of the American Society for Information Science and Technology
Scientometrics of big science: a case study of research in the Sloan Digital Sky Survey

Scientometrics
Network of the core: mapping and visualizing the core of scientific domains

Scientometrics
Computational historiography: Data mining in a century of classics journals

Journal on Computing and Cultural Heritage (JOCCH)
A new methodology for constructing a publication-level classification system of science

Journal of the American Society for Information Science and Technology
The emergence of plate tectonics and the Kuhnian model of paradigm shift: a bibliometric case study based on the Anna Karenina principle

Scientometrics
Research output in pheromone biology: a case study of India

Scientometrics
Research output analysis of municipal solid waste: a case study of China

Scientometrics
Innovation trajectories for information visualizations: comparing treemaps, cone trees, and hyperbolic trees

Information Visualization

Quantified Score

Hi-index	0.00

Visualization

Abstract

This article discusses the rationale for creating historiographs of scholarly topics using a new program called HistCiteTM, which produces a variety of analyses to aid the historian identify key events (papers), people (authors), and journals in a field. By creating a genealogic profile of the evolution, the program aids the scholar in evaluating the paradigm involved.