III.6 113 Years of Physical Review

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Bruce W. Herr, II

Russell J. Duhon

Shashikant Penumarthy

Elisha F. H. Allgood

Katy Börner

Research programmers Bruce W. Herr II and Russell J. Duhon, graphic designer Elisha F. Hardy, data analyst Shashikant Penumarthy, and information scientist Katy Börner develop infrastructures to analyze, model, and map large-scale scholarly datasets. The 113-year Physical Review dataset shown here is one example of this work. The visualization aggregates 389,899 articles published in 720 volumes of 11 journals between 1893 and 2005 using the Physics and Astronomy Classification Scheme (PACS) codes introduced in 1975. The 91,762 articles published from 1893 to 1976 take up the left third of the map. The 217,503 articles from 1977 to 2000, for which partial citation and PACS data is available, occupy the middle third on the map. The 80,634 articles from 2001 to 2005, for which complete citation and PACS data is available, fill the last third of the map. On top of this base map, all citations from the papers in every top-level PACS code in 2005 are overlaid. Each year, Thomson Reuters predicts three Nobel Prize awardees in physics based on citation counts, high-impact papers, and discoveries or themes worthy of special recognition. The small Nobel Prize medals indicate all Nobel prize-winning papers, and all correct predictions by Thomson Reuters are highlighted.


II, Bruce W. Herr, Russell Jackson Duhon, Katy Börner, Elisha F. Allgood, and Shashikant Penumarthy. 2008. "113 Years of Physical Review: Using Flow Maps to Show Temporal and Topical Citation Patterns". Proceedings of the 12th Information Visualization Conference (IV 2008), London, UK 421-426.

Herr II, Bruce W., Russell Jackson Duhon, Elisha F. Hardy, Shashikant Penumarthy, and Katy Börner. 2007. 113 Years of Physical Review. Courtesy of Indiana University. In “3rd Iteration (2007): The Power of Forecasts,” Places & Spaces: Mapping Science, edited by Katy Börner and Julie M. Davis. http://scimaps.org.

Acknowledgements: This exhibit is supported by the National Science Foundation under Grant No. IIS-0238261, CHE-0524661, IIS-0534909 and IIS-0715303, the James S. McDonnell Foundation; Thomson Reuters; the Cyberinfrastructure for Network Science Center, University Information Technology Services, and the School of Library and Information Science, all three at Indiana University. Some of the data used to generate the science maps is from the Web of Science by Thomson Reuters and Scopus by Elsevier. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.