Authorship and citation patterns in major journals in operational research (OR) are analysed. As a forerunner of interdisciplinary specialities applying mathematical or quantitative methods to social problems, OR has recently been in severe competition with new challengers with respect to applicable methods and real implementation. Through the analyses of authorship and citation patterns, this paper discusses behaviours of the journal editors and contributors with regard to the competition and reform policy of OR journals.
This paper analyses communications between statistical methodology and applied statistics in terms of the similarity and dissimilarity in their authorship and citation patterns, and further the communication distance between them in terms of mutual citation and the time lag therein. Hypotheses are presented on their difference and distance and are verified for data from the Journal of the Royal Statistical Society, the oldest statistical society in the world. The data analysis reveals that they are indeed different and distant each other to a certain extent but less distinctly than initially conjectured in the hypotheses.
The input and output information of a national project of Japan for nano-technology will be analysed. In 1996 Japanese government
stipulated a guideline to evaluate national technology projects on economic criteria as well as technological ones. In addition
to the criteria intrinsic to economy but extrinsic to technology and unfriendly to technologists, however, another view more
intrinsic to technology may be useful as well. This study will attempt to complement the governmentally stipulated evaluation
method with a bibliometric one. Considering the interdisciplinary approach as a merit of national projects, this study will
analyse how interdisciplinary information was used as input and was published as output by the project. Focussing on the publication
behaviours of the project, information flow from technology to science or a development pattern of science pulled by technology
will be discussed. Finally, the matching of the evaluation criteria to technology development and the friendliness of evaluation
methods to technologists will be discussed.
The authorship and citation patterns in the journal titled Management Science (MS) are analysed. The purpose of the analysis is to examine the competitive relation of MS with OR (operational research
or operations research). The analysis is focused on the use of mathematical methods, because MS entered the management research
area by using mathematical methods developed by OR and because the use of mathematical methods in real management is facing
difficulties. The relationship of MS with information systems (IS) and organisation research (Org) is analysed in regard to
the competition of MS with OR. The analysis reveals the intermediate character of MS; that is, MS is less prone to mathematical
methods and is more inclined towards IS and Org than OR is.
“What is science” is not only intellectually interesting but also politically crucial in the proper allocation of budget.
As science does not define itself and only philosophy defines everything including science, this paper first sketches the
philosophical view of science. Then, hypotheses are presented as to what definition is actually given for science by scientific
circles themselves. The hypotheses are tested in a scientometric way by observing the trend in the magazine Science. Unexpected results are obtained. The actual trend in Science does not reflect what has long been considered about science. Specifically, chemistry is at the top in the number of papers,
far above physics. More papers are in historical sciences (part of the humanities) than in mathematics, computer science and
social science. It is discussed in what respect chemistry is the most scientific, and the humanities is more scientific than
the abovementioned three scientific fields. It is interpreted that, out of the two aspects in Galilei’s view of science (metodo compositivo and metodo risolutivo.), the latter (empirical solution of problems by using technical instruments) dominates the former (systematic theory using
mathematics) in Science.