Application Of Lotka Research Articles

Application of Lotka’s Law in the field of Congestive Heart Failure in India-A Scientometric Analysis

Application of Lotka’s Law in the field of Congestive Heart Failure in India-A Scientometric Analysis

Lotka’s law and author productivity pattern of research in law discipline

PurposeThis study aims to analyze the productivity patterns of authors using law literature indexed in Directory of Open Access Journals (DOAJ) from 2016 to 2020 based on Lotka’s law. Lotka’s law of scientific productivity provides a platform for studying the variation between the actual and expected authors’ productivity patterns in a subject area over a specified period.Design/methodology/approachThis study covers 3,334 open access journal articles in law subject. The law journals are subdivided into two basic divisions, namely, public law and private law. This paper focuses on the journal-wise distribution of publications, subject-wise distribution of publications, annual growth rate (AGR) as well as compound AGR and applicability of Lotka’s law in both public and private law by applying the least square method followed by Pao and doing the K-S goodness-of-fit test. Student’s t-test and chi-square test have been applied to verify the significant difference between the public law and the private law literature.FindingsThere is no significant difference between the public law and private law publications on their publications per issue. The chi-square test showed that there is no significant difference between the year-wise publications in public law and private law. The authorship productivity in public law differs from the distribution of Lotka’s inverse square law, whereas it follows Lotka’s law in the case of private law.Research limitations/implicationsThis study is based on the articles published in open access English language journals which are indexed in the DOAJ.Originality/valueThis study will be useful to know the authorship productivity pattern of law literature for both public and private law individually.

Author productivity pattern and applicability of Lotka’s inverse square law: a bibliometric appraisal of selected LIS open access journals

Purpose The purpose of this paper is to know whether the authors’ productivity pattern of library and information science (LIS) open access journals adheres to Lotka’s inverse square law of scientific productivity. Since the law was introduced, it has been tested in various fields of knowledge, and results have varied. This study has closely followed Lotka’s inverse square law in the field of LIS open access journals to find a factual result and set a baseline for future studies on author productivity of LIS open access journals. Design/methodology/approach The publication data of selected ten LIS open access journals pertain to authorship, citations were downloaded from the Scopus database and analysed using bibliometric indicators like authorship pattern, collaborative index (CI), degree of collaboration (DC), collaborative coefficient (CC) and citation counts. This study has applied Lotka’s inverse square law to assess authors’ productivity pattern of LIS open access journals and further Kolmogorov-Smirnov (K-S) goodness-of-fit test applied for testing of observed and expected author productivity data. Findings Inferences were drawn for the set objectives on authorship pattern, collaboration trend and authors’ productivity pattern of LIS open access journals covered in this study. The single authorship pattern is dominant in LIS open access journals covered in this study. The CI, DC and CC are found to be 1.95, 0.47 and 0.29, respectively. The expected values as per Lotka’s law (n = −2) significantly vary from the observed values as per the chi-square test and K-S goodness-of-fit test. Hence, this study does not adhere to Lotka’s inverse square law of scientific productivity. Practical implications Researchers may find an idea about the authors’ productivity patterns of LIS open access journals. This study has used the K-S goodness-of-fit test and the chi-square test to validate the authors’ productivity data. The inferences found out from this study will be a baseline for future research on author productivity of LIS open access journals. Originality/value This study is significant from the viewpoint of the growing research on open access journals in the field of LIS and to identify the authorship pattern, collaboration trend and author productivity pattern of such journals.

Applicability of lotka’s Law in the Journal of Advances in Geosciences Publications: A Scientometrics Study

The paper is based on analyses of 787 papers by 2862 authors collected in the Journal of Advances in Geosciences publications from DOAJ. This study targets the authorship pattern and applicability of Lotka’s Law by counting the number of publications by each author, also applies the Chi-square test to test the hypothesis and finds the law still applicable to this research.

Study of Authorship Pattern, Collaboration and Application of Lotka's Law for Evaluation of Author Productivity in Conference Proceedings of IFLA

The paper examines the authorship pattern and author collaboration in the conference proceedings of World library and Information Congress organised by International Federation of Library Institution and Association (IFLA). For the study, the data from 2011 to 2015(5 years) has been taken. The authorship pattern is studied and the degree of collaboration is calculated which is 0.4463 for the present dataset. In the paper, Lotka's law was tested for which the value of the exponent n and the constant c were computed. Kolmogorov-Smirnov (K-S) goodness-of-fit is applied to verify the applicability of Lotka's law. It is found from the study that observed distribution is different from theoretical distribution predicted by Lotka's law. The law does not fit in the observed distribution of IFLA.

Applicability of Lotka"s Law to Pollution Control Research Publications During 2013-2017 Using Scopus Database

Applicability of Lotka"s Law to Pollution Control Research Publications During 2013-2017 Using Scopus Database

Application of Lotka's Law in Library Science Literature of Select Central Universities in North India

Application of Lotka's Law in Library Science Literature of Select Central Universities in North India

A Ten-year Bibliometric Analysis of Research Trends in Three Leading Ecology Journals during 2003-2012

This paper attempts to highlight quantitatively the growth and development of literature in the field of ecology in terms of publication output using the resource Web of Science®. The focus of this analysis was to study the literature on ecology published in three journals, viz., Ecology Letters, Trends in Ecology & Evolution, and Annual Review of Ecology Evolution and Systematics. 2946 records were retrieved for 10 years (2003–2012). The study revealed that multiple authorship in the field with collaborations of two (30.31%) and three authors (19.89%) was dominant. The Degree of collaboration, Collaborative coefficient, and Collaborative index were calculated and the applicability of Lotka’s law was tested. The study identified five-year patterns in research trends, using the three studied journals, to see if the subjects of focus changed within a decade. The most productive institution was University Calif. Davis, USA, followed by University Calif. Santa Barbara, USA, and University Queensland, Australia, and the most productive countries were the USA followed by UK and Canada.

Quantitative analysis of research trends in a leading ecological journal: bibliometric study during 2003-2012

The journal Ecology is one of the premier journals in the field of ecology, published by the Ecological Society of America. Ten volumes of the journal containing 120 issues from 2003 to 2012 have been taken into consideration for the present study that carries out a bibliometric analysis of the 3,359 papers and 164,369 references of this journal. The analysis covers parameters like growth pattern, authorship pattern and author productivity, with most productive countries and institutions. Out of 3,359 contributions, only 410 were single-authored and the rest were multi-authored with a Collaboration Coefficient of 0.21. Applicability of Lotka’s Law has been tested. The most productive institution was the University of California at Davis, with 183 publications. The United States of America topped the list of countries with 2,188 papers, while South Africa occupied eighteenth position.

The Re-applicability Explore of Lotka's Law in Patent Documents

Lotka's Law has always been attracting much attention in academia ever since its appearance and its applicability in literature has already gained verification. On the basic of former studies, this paper works at re-testing the applicability of Lotka's Law according to the massive data of the distribution of inventor productivity in patent literature. The result proves that Lotka's Law shows favourable applicability in patent literature. Meanwhile, it reveals that power-law distribution which dominates the three basic laws of literature metrology is also applicable to patent documents.

Quantitative analysis of research trends in a leading ecological journal: bibliometric study during 2003-2012

The journal Ecology is one of the premier journals in the field of ecology, published by the Ecological Society of America. Ten volumes of the journal containing 120 issues from 2003 to 2012 have been taken into consideration for the present study that carries out a bibliometric analysis of the 3,359 papers and 164,369 references of this journal. The analysis covers parameters like growth pattern, authorship pattern and author productivity, with most productive countries and institutions. Out of 3,359 contributions, only 410 were single-authored and the rest were multi-authored with a Collaboration Coefficient of 0.21. Applicability of Lotka's Law has been tested. The most productive institution was the University of California at Davis, with 183 publications. The United States of America topped the list of countries with 2,188 papers, while South Africa occupied eighteenth position.

Lotka's Law and Pattern of Author Productivity in the Area of Physics Research

The paper aims to analyse authorship distribution in physics literature and to examine the validity of Lotka’s law of scientific publication productivity. A list of journal articles on various aspects of physics research cited in the doctoral theses of University of Kerala, Thiruvananthapuram, South India was compiled for the study. Using ‘straight count’ of authorship, a total of 1,665 personal authors were identified and 3,367 authors were identified by using ‘complete count’. K-S statistical test and Chi-square test were applied to verify the applicability of Lotka’s law in the two approaches. The productivity distribution did not fit either set of data for two different author communities when Lotka’s law was applied in its original form. This confirms that law does not applicable to authors of the physics literature. DESIDOC Journal of Library & Information Technology , 2014, 33(6), pp. 457-466. http://dx.doi.org/10.14429/djlit.33.5477

Publication Productivity Radiation Oncology Journals: Application of Lotka's Law

Within bibliometric analysis, it is a well-established observation that the majority of scientific contributors proffer no more than one manuscript, and that a small but active percentage of authors are disproportionately productive. Lotka's Law summarizes this observation, stating that the number of authors making n contributions is equal to about 1/na of those publishing one paper, where a is approximately 2, and the percentage of all contributors contributing a single paper is approximately 60%.

English

The study presents a detailed analysis of research performance of biotechnology faculties in central universities of India from 1997-2006. The data used for the study were retrieved from two database sources, namely, PubMed, NCBI (National Centre for Biotechnology Information); and ISI Web of Science database—Science Citation Index Expanded (SCIE). Bibliometric techniques have been employed to analyse the data. The results indicate that the growth of literature in biotechnology has steadily increased from 15 articles in 1997 to 43 articles in 2006; two-authored publications predominate amongst the pattern of authorship; applicability of Lotka’s law is validated from the values n = 2.12, C = 0.669, and D = 0.027 obtained using least square method. However, the application of Bradford’s law does not fit to the literature analysed.

Biotechnology research profile of India

The study explores the chronological growth of Indian Biotechnology. Applicability of Lotka's law has been examined for the authorship pattern. Productivity of authors is analyzed and a list of 35 authors publishing more than 10 publications is given. Bradford's law of scattering is used to identify the core journals which cover most of the research and development output of Indian Biotechnology. The study also shows the active authors, institutions and statewise distributions of Indian Biotechnology research output.

Emerald authorship data, Lotka's law and research productivity

Purpose – This paper offers a practical insight into the application of Lotka's law of author productivity to the question of how likely it is that an author will return to a particular publisher (rather than make another contribution to a subject literature, which is its usual application). The question of author loyalty, especially repeat visits, is one which is of great interest to publishers.

Science in India: performance of Council of Scientific and Industrial Research laboratories based on the productivity profile of scientists

Lotka's approach was used to study the performance of different Council of Scientific and Industrial Research (CSIR) laboratories in physical, biological and engineering sciences based on the productivity profile of scientists. The productivity profile of each laboratory, in terms of frequency distribution of scientists and their contributions was generated using the CSIR Directory of Scientists. The profiles were normalised using Lotka's approach. The applicability of Lotka's inverse power law (general and square) and other statistical distributions to the productivity of CSIR scientists at the overall agency level, the group of laboratories level and the individual laboratory level, within each subject was examined. Scientists contributing ten or less papers give a flat productivity distribution; between 11 and 29 papers, tend towards an inverse-square relationship; and more than 29 papers, indicate a flat productivity distribution. A geometric distribution best describes the distribution of scientists at all three levels.

Impact of productivity increase on the distribution pattern of journals

In this study an attempt to examine the dependence between the productivity of core journals and the shape of the distribution curve in the upper section is made. For this purpose, the impact of the core journal productivity increase over an extended time interval was investigated. As a referent point in relation to which the changes were followed, equalized inverse relationship between the core and periphery in terms of the number of journals and the number of papers published in them in a given subject field has been hypothesized. The degree to which a particular set of data conforms to that relationship expressed as β, is taken as an indicator of the changes in the core/periphery relation. The applicability of Lotka's exponent in the journal productivity context is also discussed.

Scientometric study of biochemical literature of Nigeria, 1970–1984: Application of Lotka's law and the 80/20-Rule

A bibliography of biochemical literature of Nigeria for the period, 1970–1984 containing a total of 500 items, was analysed to test the applicability of Lotka's law and 80/20-rule to the author productivity distribution patterns. Four different files were created out of the data on author productivity: one for the publication of all the authors, second for the publications by first authors only, third for single authors and fourth for the contributions of only coauthors. Lotka's law could apply in all the four cases with different values of α. The Kolmogorov-Smirnov test was applied to test the applicability of Lotka's law at 0.01 level of significance. Egghe's theory and formula were used to test 80/20-rule and it was found that the rule did not apply to any of the four data sets.