1,720,971 research outputs found

    Testing Lotka’s Law and Pattern of Author Productivity in the Scholarly Publications of Artificial Intelligence

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    Artificial intelligence has changed our day to day life in multitude ways. AI technology is rearing itself as a driving force to be reckoned with in the largest industries in the world. AI has already engulfed our educational system, our businesses and our financial establishments. The future is definite that machines with artificial intelligence will soon be captivating over trained manual work that now is mostly cared by humans. Machines can carry out human-like tasks by new inputs as artificial intelligence makes it possible for machines to learn from experience. AI data from web of science database from 2008 to 2017 have been mapped to depict the average growth rate, relative growth rate, contribution made by authors in the view of research productivity, authorship pattern and collaboration of AI literature. The Lotka’s law on authorship productivity of AI literature has been tested to confirm the applicability of the law to the present data set. A K-S test was applied to measure the degree of agreement between the distribution of the observed set of data against the inverse general power relationship and the theoretical value of α = 2. It is found that the inverse square law of Lotka follow as such

    Russian Contribution to Coronary Artery Disease Research: A Scientometric Mapping of Publications

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    The present study attempts to highlight the research output generated in Russia in coronary artery disease (CAD) research during the period 1990-2019 to understand the distribution of research output, top journals for publications, and most prolific authors, authorship pattern, and citation pattern. This study is based on secondary data extracted from the Science Citation Index (SCI), which is an integral component of the Web of Science. Descriptive and inferential statistical techniques were applied in the study. There were 5058 articles by Russian scholars in coronary artery disease during 1990-2019; they preferred to publish in Russian journals. The research contributions were in the form of research articles, meeting abstracts and reviews with a consistent drop in the number of editorial material and article; proceedings paper with time. Co-authorship was the norm in coronary artery disease research, with a steady increase in the number of multi-author documents in recent years

    Mapping of 4G Mobile Technology Publications: A Scientometric Approach

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    This paper focus on the growth and development of 4G mobile technology in terms of publication output as reflected in Web of Science Database. During 2009-2018, a total of 4389 publications were published in the field. The average number of publications published per year was 438.9 and the highest numbers of publications 644 were published in 2018. Authors from USA have contributed maximum number of publications compared to other countries and India stood 3rd in terms of productivity in this period. The most prolific author is Zhang Y who contributed 17 publications followed by Choi J, Lee J, Li J, and Wang J with 16 publications each respectively. Chinese Academy of Sciences is the highly contributed institution with 68 records followed by Beijing University Posts & Telecommunication with 35 records. The relative growth rate (RGR) has increased from 2009 (0.69) to 2018 (2.04) in the span of 10 years. The doubling time (DT) has gradually decreased from 1.01 in 2009 to 0.34 in 2018

    Research Output Analysis of Most Productive Universities of Tamil Nadu, India : A Scientometric Analysis

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    Scientometrics is an important field of information science as it represents a unique set of techniques and tools for the monitoring and analysis of information resources and for the management of knowledge in social and organizational contexts. This article analysed the various Scientometric components of the articles published by top six universities of Tamil Nadu from 2000-2017. The study identifies research trend, characteristics growth and collaboration pattern of published literature. The analysis of data reveals that the average growth rate increases at the rate of 9.76%. Further, the average citation per paper observed is 12.18%. High degree of international collaboration is notified and USA and South Korea are found to be the most preferred collaborative countries. The CAGR calculated for six universities are 9.76. The major research publications outputs are from the field of Chemistry, Crystallography and Pharmacy

    Research Output Analysis of Top Six Universities of Tamil Nadu, India : A Scientometric View

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    Scientometrics is an important field of information science as it represents a unique set of techniques and tools for the monitoring and analysis of information resources and for the management of knowledge in social and organizational contexts. This article analysed the various Scientometric components of the articles published by top six universities of Tamil Nadu from 2000-2017. The study identifies research trend, characteristics growth and collaboration pattern of published literature. The analysis of data reveals that the average growth rate increases at the rate of 9.76%. Further, the average citation per paper observed is 12.18%. High degree of international collaboration is notified and USA and South Korea are found to be the most preferred collaborative countries. The CAGR calculated for six universities are 9.76. The major research publications outputs are from the field of Chemistry, Crystallography and Pharmacy

    Do Citations make Impact on Social Media? : An Altmetric Analysis of Top Cited Articles of University of Madras, South India

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    Altmetrics is an emergent research area whereby social media is applied as a source of metrics to assess scholarly impact. Over the most recent couple of years, the enthusiasm for altmetrics has developed, offering ascend to numerous inquiries in regards to their potential advantages and difficulties. As another developing field, Altmetrics has turned into a trailblazer, and got a decent arrangement of consideration by specialists associated with the assessment of logical research. This paper aims to analyse top 15 articles of University of Madras which have scored high citations. It aims to find out to what extend the top cited articles have secured altmetric scores. Do the citation score really create any impact on the social media? This is the research question formulated and comparing tool features, social media data sources, and social media events provided by Altmetric aggregators and thus they are analysed. Spearman Rank correlation metrics shows high correlation between the ranks of citations and Altmetric scores. The tweeter and Mendeley are the media through the scholarly communication highly disseminate. The analysis of readers shows that United States tops the list, followed by United Kingdom and Spain and are mainly educational ones with Ph.D, Post Graduate and Masters. The Practitioners are observed to be the voracious readers of the social media resulting in the present altmetric analysis

    Testing of Lotka’s law and its Suitability to research productivity of Annamalai University, A Higher Education Institution, South India

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    Lotka’s Law describes the frequency of publications by authors in a given subject/discipline. In the present study, an attempt has been made to study the suitability of the Lotka’s Law to the publications of a Higher Educational institution of a region consisting of academic authors and researchers in various disciplines. Annamalai University has been ranked 20th in the state level and 56th at National level by MHRD. Annamalai University is renowned for its research output performance and has been funded for many major, minor and DST research projects. It has a large network and linkages to academia, R&D organisations and industries. It covers almost all the subjects with 10 Faculties and 49 departments of study. Examines the applicability of Lotka’s Law as a general inverse power (a # 2) and as an inverse square power relationship (a = 2) to the distribution of the research productivity Annamalai University, South India. Two datasets of the research papers (936 and 3370) contributed by Annamalai University academic authors and researchers during the period of 2000-2006 and 2011-2017 were collected from Web of Science Database. A K-S Test was applied to measure the degree of agreement between the distribution of the observed set of data against the inverse general power relationship and the theoretical value of a=2. It was found that the inverse square law of Lotka does not show conformity as such

    Application of Lotka’s Law to the research productivity in the field of Thermodynamics during 2015-2019

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    The study applied Lotka’s law of the author’s productivity in the field Thermodynamic from 2015 to 2019. The Goodness of fit test Kolmogorov – Smirnov (K-S) test was applied to the data of thermodynamics research. It is found that the applicability of Lotka’s law is confirmed with 0.003 level of significance in the field of Thermodynamics. Bur Lotka’s inverse square law does not fit the present data. The study found that the most productive author is ‘Wang, J.’ with 159 articles, and the most productive journal is ‘Journal of Molecular Liquids’ with 547 published articles in Thermodynamics. The study reveals that maximum countries show international collaboration trends

    Application of Bradford’s Law of Scattering and Leimkuhler Model on Fluid Mechanics Literature Published during 2001-2019

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    The study deals with the application of Bradford’s law of scattering on Fluid Mechanics subject. It is found that verbal formulation 1: n: n2 has not fit with the data on Fluid Mechanics. As Leimkuher model applied for verification of Bradford’s law and it fits with 2:57:1462 geometric series with 0.005% of error. Other Scientometrics indicators such as DCI, ICI, author’s ranking, the ranking of most preferred journals, author’s impacts are used for the qualitative and quantitative analysis of research output in Fluid Mechanics subject. The study found that major 13 highly contributed countries have international collaboration trends. ‘Tenduyar, T.E. is the most productive author, and ‘Chemical Engineering Science’ is the highest preferred journal in the field of Fluid Mechanics

    Analysis of Scholarly Communication on Phonology during 2000 - 2017: A Scientometric Study

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    The study is aimed to find out the authorship pattern and the collaboration trends in the field of phonology. In the study, Collaborative index, Degree of collaboration, Collaborative Coefficient, Relative growth rate and Doubling time these Scientometric indicators were used. The study found that the Degree of Collaboration is 0.5 which reveals the average relationship between singled authored papers and muli-authored papers. Collaboration Coefficient and Modified Collaboration Coefficient is less than 0.5, it means there were fewer trends of authors collaboration. But the study found slight growth from 1013 to 2015 and again decreased. As per the study Goswami, U was the first ranked author, Lingua was the first ranked journal and USA was the first ranked Country between 2000 and 2017
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