On the analogy between the evolution of thermodynamicand bibliometric systems: a breakthrough or justa bubble?

This paper presents an in depth study of an interesting analogy, recently proposed by Prathap (Scientometrics 87(3):515-524, 2011a), between the evolution of thermodynamic and bibliometric systems. The goal is to highlight some weaknesses and clarify some ‘‘dark sides'' in the conceptual framework of this analogy, discussing the formal validity and practical meaning of the concepts of Energy, Exergy and Entropy in bibliometrics. Specifically, this analogy highlights the following major criticalities: (1) the definitions of E and X are controversial, (2) the equivalence classes of E and X are questionable, (3) the parallel between the evolution of thermodynamic and bibliometric systems is forced, (4) X is a non-monotonic performance indicator, and (5) in bibliometrics the condition of ‘‘thermodynamic perfection'' is questionable. Argument is supported by many analytical demonstrations and practical example

A Rejoinder on Energy versus Impact Indicators

Citation distributions are so skewed that using the mean or any other central tendency measure is ill-advised. Unlike G. Prathap's scalar measures (Energy, Exergy, and Entropy or EEE), the Integrated Impact Indicator (I3) is based on non-parametric statistics using the (100) percentiles of the distribution. Observed values can be tested against expected ones; impact can be qualified at the article level and then aggregated.Comment: Scientometrics, in pres

Evaluation of scientific status of endocrine, diabetes, and metabolism research centers in Iran using exergy method

The aim of this study was to determine the scientific status of endocrine, diabetes and metabolism research centers in Iran using exergy method in terms of scientific publications indexed in the Web of Science, Scopus, and Google Scholar database in 2013. This study is a cross-sectional one. The study population included 6 Iranian endocrine, diabetes and metabolism research centers. Data were collected by referring to the Iranian Ministry of Health and Medical Education personally and also using the above-mentioned citation databases. Data were analyzed using Microsoft Excel and descriptive statistics. The results revealed that endocrine, diabetes and metabolism research centers of Shahid Beheshti and Tehran University of Medical Sciences were top centers in Iran in terms of the quality of scientific publications. Diabetes Research Center of Ahvaz University of Medical Sciences was found to have the weakest performance. This article is the results of the first study in Iran, regarding the evaluation of research centers by exergy analysis

E-resources usage and research productivity

The best performing laboratories in the CSIR from the point ofview of optimally accessing and using e-resources are identified using performance indicators derived from number of scientists in the laboratory, number of downloads during a prescribed window, number of publications during the same window and the total citations earned by these papers during a citation window of one year following the publications window

Scientometric Analysis of Nanotechnology Research with Special Reference to India (2008-17)

Nanotechnology research covered in the Web of Science database during the period 2008-17 has been analyzed. A total of 16935 articles were retrieved and this forms the basis of this study. The growth of the article over the study window is 123 articles per year. 2017 is the most productive year with 2220 (13%, approx) articles. Journals and authors\u27 productivity are analyzed based on their h-index and z-index. Among the 30 top productive journals taken for the study, ACS Nano is occupying the top position with 400 articles. The paired t-test showed a strong and significant correlation of h-index and z-index of authors and journals. The top ten leading countries have also been identified in the study and the USA has topped the rank with 29.68% of world share publication while India is in third position with 7.29% of share next to China (i.e. 15.23%). The same rank is observed for India in the Relative Citation Impact, however, with below world average (i.e. 0.81). This study will be beneficial for the library staff as well as for the Nanotechnology researchers towards identifying the most productive works, the most prolific authors and organizations affiliated to those works

A probabilistic linguistic thermodynamic method based on the water-filling algorithm and regret theory for emergency decision making

Since thermodynamics can describe the energy of matter and its form of storage or transformation in the system, it is introduced to resolve the uncertain decision-making problems. The paper proposes the thermodynamic decision-making method which considers both the quantity and quality of the probabilistic linguistic decision information. The analogies for thermodynamical indicators: energy, exergy and entropy are developed under the probabilistic linguistic circumstance. The probabilistic linguistic thermodynamic method combines the regret theory which captures decision makers’ regret-aversion and the objective weight of criterion obtained by the water-filling algorithm. The proposed method is applied to select the optimal solution to respond to the floods in Chongqing, China. The self-comparison is conducted to verify the effectiveness of the objective weight obtained by the water-filling algorithm and regret theory in the probabilistic linguistic thermodynamic method. The reliability and feasibility of the proposed method are verified by comparative analysis with other decision-making methods by some simulation experiments and non-parametric tests

Research productivity of Library and Information Science in India during 2010-2019: A Scientometric Study

The aim of this study is to analyze the Library & Information Science literatures available in the Web of Science database during 2010-2019 by the topic “Research productivity of Library and Information Science in India during 2010-2019: A Scientometric Study”. The required data is retrieved from Web of Science database using advanced Boolean search techniques. Total 778 numbers of literatures are retrieved from the database. The literatures mainly include journal articles, proceeding papers, editorial materials, etc. In the study, analysis of year wise growth rate, productive journals, articles, authors, etc are covered. Along with that three mostly used bibliometric laws, Bradford’s law, Lotka’s Law and Zipf’s law are examined with the help of the dataset. It is found that there is no constant growth rate of the published literature but the average annual growth rate is 12.64%. The study reveals that the most published literature form is article (88.95%) and “Scientometrics” with highest contribution of 98 is the most preferred journal on the subject