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An artificial example: constructing the genome sequence of a document In scientific literature, researchers have already used graph to demonstrate the relationships of citations, and citation graph can be mapped to the original tabular form

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citation categorisation method. It describes our search of the bibliometrics’ literature and the way in which the search findings informed our subsequent development of a template that could be used to categorise citations. Method

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Scientometrics
Authors: B. Gupta, Praveen Sharma, and Suresh Kumar

Abstract  

The paper deals with the nature of growth models currently used in the literature for modeling the growth of publications. It introduces briefly three growth models and explores the applicability of these models in the growth of world and Indian physics literature. The analysis suggests that the growth of Indian physics literature follows a logistic model, while the growth of world physics literature is explained by a combination of logistic and power models. The criteria for selection of growth models based on the new growth rate functions suggested by Egghe and Ravichandra Rao are given. The methodology suggested by Egghe and Ravichandra Rao is shown to work satisfactorily, except for longer time series growth data, when we may have to restore to data splitting approach, if suggested by the plots of new growth rate functions. This approach helped us to use a combination of two growth models instead of one, to explain the growth of world physics literature.

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significant economic restrictions compared with developed countries. The quantity and quality of scientific literature relating to pathogenic microorganisms are important indexes or parameters for evaluating the level of study and the degree of attention

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This paper used data generated in a previous study to model what can be termed fast literature. In this case, the literature of superstring theory was examined to determine if an anomalous case, such as superstring literature, might fit a theoretical distribution. Price's Index was examined and found not to fit the data. The lognormal and the Weibull Distributions both appear to fit the observed distribution; however, the Weibull has better practical as well as theoretical strengths to model superstring literature. It is suggested that the literature of superstrings belongs in a separate class of literature, what we term fast literature. Additional study is indicated to determine if this type of literature is a significant factor in scientometrics.

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Abstract  

Aging is one of the properties of scientific and technical literature. The knowledge of the laws of aging is very important in the science of science, information science and library science. Methodological errors in studying the aging process cause wrong results. By means of non-traditional processing of well-known empiric data the author refutes such generally accepted ideas as the idea of very rapid aging of literature, the idea of more rapid aging of publications on rapidly developing fields of knowledge, the idea of the maximum of book use being only in a few years after its publication, and some other ideas.

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analysis of the obsolescence (Line 1993 ) or “durability” of knowledge (Tahai and Rigsby 1998 ). The analysis of the ageing of scientific production has been frequently addressed in bibliometric literature (Aversa 1985 ; Glänzel and Schoepflin 1995

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Abstract  

This article derives a “literature variable exponential growth model” from Price's literature growth modelF(t)=ae bt. The method is replacingbt by a polynomial of degreen-1. Our research shows that the new model is more convincing than the former ones. Detailed calculation procedure, examples, parameter values and mean square errors are given.

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Abstract  

Lectins, the carbohydrate binding proteins, have emerged as indispensable biological tools in the last decade. Research contibutions covering the period 1954–1982 on different aspects of lectins were collected since the introduction of the term Lectin in 1954. In the present communication we have made a bibliometric analysis of the growth of the literature on lectins, the trend of authorship of papers on lectins, and scattering phenomena. We have also identified the main international channels of communication of the results of lectin research.

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Abstract  

The purpose of this study is to map semiconductor literature by author co-citation analysis in order to highlight major subject specializations in semiconductors and identify authors and their relationships within these specialties and within the field. Forty-six of the most productive authors were included in the sample list. Author samples were gathered from the INSPEC database from 1978 to 1997. The relatively low author co-citation frequencies indicate that there is a low connection among authors who publish in semiconductor journals and big differences among authors' research areas. Six sets of authors with co-citation greater than 100 times are M. Cardona and G. Lucovsky; T. Ito and K. Kobayashi; M. Cardona and G. Abstreiter; A. Y. Cho and H. Morkoc; C. R. Abernathy and W. S. Hobson; H. Morkoc and I. Akasaki. The Pearson correlation coefficient of author co-citation varies widely, i.e., from -0.17 to 0.92. This shows that some authors with high positive correlations are related in certain ways and co-cited, while other authors with high negative correlations may be rarely or never related and co-cited. Cluster analysis and multi-dimensional scaling are employed to create two-dimensional maps of author relationships in the cross-citation networks. It is found that the authors fall fairly clearly into three clusters. The first cluster covers authors in physics and its applications. The authors in the second group are experts in electrical and electronic engineering. The third group includes specialists in materials science. Because of its interdisciplinary nature and diverse subjects, semiconductor literature lacks a strong group of core authors. The field consists of several specialties around a weak center.

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