World trends, publication output, research fronts and highly cited papers in optics. lasers and quantum electronics

1987 ◽  
Vol 37 (2) ◽  
pp. 257-272 ◽  
Author(s):  
Jan Vlachý
Keyword(s):  
Quantum Electronics ◽  
Publication Output ◽  
Highly Cited Papers ◽  
Research Fronts ◽  
Highly Cited

scholarly journals Factors Influencing Cities’ Publishing Efficiency

2018 ◽  
Vol 3 (3) ◽  
pp. 43-80 ◽  
Author(s):  
Csomós György
Keyword(s):  
New York ◽  
Web Of Science ◽  
Publication Output ◽  
The United States ◽  
High Tech ◽  
Highly Cited Papers ◽  
Factors Influencing ◽  
The Web ◽  
Highly Cited Articles ◽  
Highly Cited

Abstract Purpose Recently, a vast number of scientific publications have been produced in cities in emerging countries. It has long been observed that the publication output of Beijing has exceeded that of any other city in the world, including such leading centres of science as Boston, New York, London, Paris, and Tokyo. Researchers have suggested that, instead of focusing on cities’ total publication output, the quality of the output in terms of the number of highly cited papers should be examined. However, in the period from 2014 to 2016, Beijing produced as many highly cited papers as Boston, London, or New York. In this paper, another method is proposed to measure cities’ publishing performance by focusing on cities’ publishing efficiency (i.e., the ratio of highly cited articles to all articles produced in that city). Design/methodology/approach First, 554 cities are ranked based on their publishing efficiency, then some general factors influencing cities’ publishing efficiency are revealed. The general factors examined in this paper are as follows: the linguistic environment of cities, cities’ economic development level, the location of excellent organisations, cities’ international collaboration patterns, and their scientific field profile. Furthermore, the paper examines the fundamental differences between the general factors influencing the publishing efficiency of the top 100 most efficient cities and the bottom 100 least efficient cities. Findings Based on the research results, the conclusion can be drawn that a city’s publishing efficiency will be high if meets the following general conditions: it is in a country in the Anglosphere–Core; it is in a high-income country; it is home to top-ranked universities and/or world-renowned research institutions; researchers affiliated with that city most intensely collaborate with researchers affiliated with cities in the United States, Germany, England, France, Canada, Australia, and Italy; and the most productive scientific disciplines of highly cited articles are published in high-impact multidisciplinary journals, disciplines in health sciences (especially general internal medicine and oncology), and disciplines in natural sciences (especially physics, astronomy, and astrophysics). Research limitations It is always problematic to demarcate the boundaries of cities (e.g., New York City vs. Greater New York), and regarding this issue there is no consensus among researchers. The Web of Science presents the name of cities in the addresses reported by the authors of publications. In this paper cities correspond to the spatial units between the country/state level and the institution level as indicated in the Web of Science. Furthermore, it is necessary to highlight that the Web of Science is biased towards English-language journals and journals published in the field of biomedicine. These facts may influence the outcome of the research. Practical implications Publishing efficiency, as an indicator, shows how successful a city is at the production of science. Naturally, cities have limited opportunities to compete for components of the science establishment (e.g., universities, hospitals). However, cities can compete to attract innovation-oriented companies, high tech firms, and R&D facilities of multinational companies by for example establishing science parks. The positive effect of this process on the city’s performance in science can be observed in the example of Beijing, which publishing efficiency has been increased rapidly. Originality/value Previous scientometric studies have examined cities’ publication output in terms of the number of papers, or the number of highly cited papers, which are largely size dependent indicators; however this paper attempts to present a more quality-based approach.

scholarly journals Energy Storage Ceramics: A Bibliometric Review of Literature

Materials ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3605
Author(s):  
Haiyan Hu ◽  
Aiping Liu ◽  
Yuehua Wan ◽  
Yuan Jing
Keyword(s):  
Energy Storage ◽  
Materials Science ◽  
Research Field ◽  
Highly Cited Papers ◽  
Research Areas ◽  
Productive Author ◽  
The Usa ◽  
Bibliometric Review ◽  
Leading Position ◽  
Highly Cited

Energy storage ceramics is among the most discussed topics in the field of energy research. A bibliometric analysis was carried out to evaluate energy storage ceramic publications between 2000 and 2020, based on the Web of Science (WOS) databases. This paper presents a detailed overview of energy storage ceramics research from aspects of document types, paper citations, h-indices, publish time, publications, institutions, countries/regions, research areas, highly cited papers, and keywords. A total of 3177 publications were identified after retrieval in WOS. The results show that China takes the leading position in this research field, followed by the USA and India. Xi An Jiao Tong Univ has the most publications, with the highest h-index. J.W. Zhai is the most productive author in energy storage ceramics research. Ceramics International, Journal of Materials Science-Materials in Electronics, and the Journal of Alloys and Compounds are the most productive journals in this field, and materials science—multidisciplinary is the most frequently used subject category. Keywords, highly cited papers, and the analysis of popular papers indicate that, in recent years, lead-free ceramics are prevalent, and researchers focus on fields such as the microstructure, thin films, and phase transition of ceramics.

Trends of mobile learning: A review of the top 100 highly cited papers

2019 ◽  
Vol 51 (3) ◽  
pp. 721-742 ◽  
Author(s):  
Chiu‐Lin Lai
Keyword(s):  
Mobile Learning ◽  
Highly Cited Papers ◽  
Highly Cited

scholarly journals Bibliometric Analysis based on Highly Cited Papers in Computer Science

2021 ◽  
Vol 1883 (1) ◽  
pp. 012053
Author(s):  
Fangyu Jiao ◽  
Ji Fang ◽  
Yutong Ci ◽  
Wenyan Tu
Keyword(s):  
Computer Science ◽  
Bibliometric Analysis ◽  
Highly Cited Papers ◽  
Highly Cited

Bibliometric Study on the Highly Cited Papers and Correlation Between Citation Frequency and Download Frequency in Chinese Medicine Journals

2021 ◽  
pp. 2153004
Author(s):  
Qinghui Qu ◽  
Xinyang Zhang
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Academic Quality ◽  
Academic Journal ◽  
Research Papers ◽  
Highly Cited Papers ◽  
Natural Medicine ◽  
Citation Frequency ◽  
Highly Cited

The purpose of this paper is to retrieve and study the highly cited papers as well as the correlation between the citation frequency and the download frequency of the 20 traditional Chinese medicine journals in China, in order to provide the guidance for improving the influence and academic quality of these journals. Bibliometric analyses were conducted on 1103 papers of 20 traditional Chinese medicine journals from 2011 to 2020 by retrieving for the China Academic Journal Network Publishing Database (CAJD) in China National Knowledge Infrastructure (CNKI). SPSS 17.0 software was used to analyze the correlation between the citation frequency and the download frequency via conducting regression fitting and establishing the mathematical models. The results showed that the total citations of the 1103 papers were 93051 times and the average citations were 84.36 times per paper. The total downloads of the 1103 papers were 2058442 times, and the average downloads were 1866.22 times per paper. China Journal of Chinese Materia Medica ranked first according to the number of papers, total citations and total downloads. The citations of Journal of Chinese Medicinal Materials ranked first based on the number of citations per paper. One of Li’s paper had been cited the most (983 times). There were 629 (57.03%) papers whose first author was from universities. The scopes of the first authors were distributed in 29 regions and 2 special administrative regions (Macao, Hong Kong) in China. The authors from Beijing published 283 (25.66%) papers, ranking number one. The number of papers supported by funds was 882 (79.96%). The research results of correlation showed that the citation frequency and the download frequency of the highly cited papers had a highly positive correlation from both journal and paper level for whether the sample data of journals was normally distributed or nonnormally distributed. The correlation coefficients of the 20 journals at journal level and that at paper level were 0.9765 and 0.6677, respectively. The correlation was better at journal level than that at paper level, while the optimal regression fitting was all cubic polynomial. Among the 1103 papers, there were 684 (62.01%) research papers and 419 (37.99%) review papers. The main citation period of the top 15 papers was from the 2nd year to the 6th year after publication, accounting for 78.39%. Papers on clinical therapeutics research, papers on the pharmacological effects and its mechanism of traditional Chinese medicine, and papers on traditional Chinese medicine and natural medicine were the main source of the highly cited papers of the traditional Chinese medicine journals. Editors of the journals should focus on the above-mentioned research areas to select manuscripts for exploiting the excellent sources extensively, while paying attention to review papers, focusing on national major or key projects, paying attention to network spreading, stabilizing authors with quality services, in order to improve the influence and the academic quality of journals.

Bibliometric Analysis of Highly-Cited Papers on Stroke in the CNKI Database

2021 ◽  
Vol 11 (07) ◽  
pp. 3260-3266
Author(s):  
雅 刘
Keyword(s):  
Bibliometric Analysis ◽  
Highly Cited Papers ◽  
Highly Cited
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