Visible to the public Computer Science as a Theoretical Science

SoS Newsletter- Advanced Book Block

Computer Science as a Theoretical Science

One purpose of the Science of Security project is to look at the scholarly work that has been done over the past decades and determine how that work has contributed to our understanding of the underlying principles. The works cited here address the distinction between computing as a physical science and computing as an abstract science.

  • Peter Freeman, "Science, Computational Science, And Computer Science?," Journal of Computing Sciences in Colleges, Volume 29 Issue 3, January 2014, (Pages 5-6). (ID#:14-1550) Available at: This paper takes a look at the impact of computer science on furthering the ability to conduct science itself. In addition to examining the distinctions between science, computational science, and computer science, this paper recognizes the achievements in research and computation tools fostered by computer science. The authors in this paper discuss theory formation, beyond just the contribution of tools, with a view to determine the essence of computer science. Keywords: (not available)
  • Subrata Dasgupta, It Began with Babbage: The Genesis of Computer Science, Oxford University Press, Inc. New York, NY, USA (c)2014 ISBN: 0199309418 9780199309412. (ID#:14-1551) Available at: This paper, through a historical look at the advent of computer science since Charles Babbage in 1819, discusses the unique position of computer science within the classification of science, remarking that the subject confers with both the physical and the abstract. The author argues that computer science does not adhere to the natural laws guiding fields like physics or chemistry, but rather concerns its existence solely with the notion of purpose. This author draws from Babbageis Difference Engine, as well as early purveyors of what is now called computer science, including Ada Lovelace, Turing, and von Neumann.
  • Heilig, L.; VoB, S., "A Scientometric Analysis of Cloud Computing Literature," Cloud Computing, IEEE Transactions on, vol. PP, no.99, pp.1,1, April 2014. (ID#:14-1552) Available at: The popularity and rapid development of cloud computing in recent years has led to a huge amount of publications containing the achieved knowledge of this area of research. Due to the interdisciplinary nature and high relevance of cloud computing research, it becomes increasingly difficult or even impossible to understand the overall structure and development of this field without analytical approaches. While evaluating science has a long tradition in many fields, we identify a lack of a comprehensive scientometric study in the area of cloud computing. Based on a large bibliographic data base, this study applies scientometric means to empirically study the evolution and state of cloud computing research with a view from above the clouds. By this, we provide extensive insights into publication patterns, research impact and research productivity. Furthermore, we explore the interplay of related subtopics by analyzing keyword clusters. The results of this study provide a better understanding of patterns, trends and other important factors as a basis for directing research activities, sharing knowledge and collaborating in the area of cloud computing research.


Articles listed on these pages have been found on publicly available internet pages and are cited with links to those pages. Some of the information included herein has been reprinted with permission from the authors or data repositories. Direct any requests via Email to SoS.Project (at) for removal of the links or modifications to specific citations. Please include the ID# of the specific citation in your correspondence.