scholarly journals Study results for the detection of translated plagiarism using bibliometric databases

Author(s):  
Nikolay Mazov ◽  
Vadim Gureev

In the last five years the authors have studied applicability of citation analysis to the problem of detection of translated plagiarism. During these years we verified the efficiency of this method and carried out several applied studies. It enabled us to detect a number of illegal uses of borrowed foreign texts in several research areas. We showed that the method is more efficient in natural and exact sciences as compared to social sciences. Besides, it is more appropriate when analyzing research articles, reviews and reports as compared to other document types.

2021 ◽  
Vol 5 (2) ◽  
pp. 1-6
Author(s):  
R. Senthilkumar ◽  
G. Ulaganathan

Indian Citation Index database is a powerful tool that let you search, track, measure and collaborate in the sciences, social sciences, arts, and humanities to turns raw data/information into the powerful knowledge you need. A database in general is a collection of information that is organized so that it can easily be accessed for various purposes, managed, and updated regularly. This paper is discussed about the published research articles and its citation from Universities in Tamil Nadu. During period from 2004 to 2014, the maximum no of articles 234(15.03) are published in the year 2012. Among the 234,104(6.68) articles from Bharathiar university, 57(3.66)articles from Bharathidasan university and 73(4.69) Periyar University. It clearly shows the authors from BharathiarUniversity are more concentrating on Indian journals.


Author(s):  
Yu. V. Mokhnacheva ◽  
V. A. Tsvetkova

The findings of the study of Russian publications array of 2010-2019 are presented. The dynamics for the ten-year period (2010-2019) is demonstrated. For completeness, two of the most authoritative international polythematic resources, i. e. Web of Science Core Collection (WoS CC) and Scopus, were analyzed in parallel. The dynamics of Russian publications is presented in two versions: all types of publications indexed by the systems, and selected types of publications (research articles, reviews, book chapters, and letters). The positive dynamics of the share of Russian publications within the global array was determined, as well as the increase in Russia’s rating positions in terms of the number of publications in the period 2010-2019, were determined. The publications with Russian participation are represented in all 153 science areas (the WOS CC classifier "Research Areas"), however, the barrier of 1% of the total segment of Russian publications reflected in the WoS CC was cleared just in 42 areas. It is demonstrated that in the recent years, along with the decreasing tendency for the share of publications in physics and chemistry within the Russian publication array, there has been an increase in the rate of publications in the technical, social sciences and the humanities. The Emerging Sources Citation Index (ESCI), a WoS CC member since 2015, promotes intensively the works in the humanities and social sciences to the world publishing space. Despite the decrease in the rate of physics and chemistry in the Russian publication segment, these areas remain the undisputed leaders in the share of publications in WoS CC.


2019 ◽  
Author(s):  
INTERNATIONAL SCIENTIFIC JOURNALS

International Scientific Journals (ISJ) are the open access, peer-reviewed, International Journals, that provides rapid publication (Bi-Monthly) of research articles, review articles and short communications in all the fields of Science, Engineering, Management, Technology, and Social Sciences. Available online at https://int-scientific-journals.com


2019 ◽  
Author(s):  
Zhigang Cui ◽  
Zhihua Yin ◽  
Lei Cui

BACKGROUND Background:H19 gene is maternally expressed imprinted oncofetal gene. This study aimed to explore distribution pattern and intellectual structure of H19 in cancer. OBJECTIVE Published scientific 826 papers related to H19 from Jan 1st, 2000 to March 22st, 2019 were obtained from the Web of Science core collection. METHODS We performed extraction of keywords and co-word matrix construction using BICOMB software. Then gCLUTO software, ucinet, excel software, Citespace, Vosviewer were successfully used for double -cluster analysis, social network analysis, Strategic coordinate analysis, co-citation analysis, and journal analysis. RESULTS We analyzed the distributions of included article of H19, identified 34 high-frequency keywords and classified them into 6 categories. Through co-word analysis and co-citation analysis for these categories, we identified the hotspot areas and intellectual basis about H19 in cancer research. Then the prospects of hotspots and their associations were accesssed by strategic coordinate diagrams and social network diagrams. CONCLUSIONS 6 research categories of 34 high-frequency keywords could represent the theme trends on H19 to some extent. Mir-675, cancer metastasis and risk, Wnt/β-catenin signaling pathway, SNP, and ceRNA network were core and mature research areas in this field. There is a lack of promising areas of H19 research. Matouk(2006) article play a key role in H19 research, and Murphy SK(2006)and Luo M(2013) articles serve knowledge transmission as pivotal study.


2020 ◽  
Vol 12 (17) ◽  
pp. 6846
Author(s):  
Jinyuan Ma ◽  
Fan Jiang ◽  
Liujian Gu ◽  
Xiang Zheng ◽  
Xiao Lin ◽  
...  

This study analyzes the patterns of university co-authorship networks in the Guangdong-Hong Kong-Macau Greater Bay Area. It also examines the quality and subject distribution of co-authored articles within these networks. Social network analysis is used to outline the structure and evolution of the networks that have produced co-authored articles at universities in the Greater Bay Area from 2014 to 2018, at both regional and institutional levels. Field-weighted citation impact (FWCI) is used to analyze the quality and citation impact of co-authored articles in different subject fields. The findings of the study reveal that university co-authorship networks in the Greater Bay Area are still dispersed, and their disciplinary development is unbalanced. The study also finds that, while the research areas covered by high-quality co-authored articles fit the strategic needs of technological innovation and industrial distribution in the Greater Bay Area, high-quality research collaboration in the humanities and social sciences is insufficient.


2021 ◽  
Vol 13 (10) ◽  
pp. 5726
Author(s):  
Aleksandra Wewer ◽  
Pinar Bilge ◽  
Franz Dietrich

Electromobility is a new approach to the reduction of CO2 emissions and the deceleration of global warming. Its environmental impacts are often compared to traditional mobility solutions based on gasoline or diesel engines. The comparison pertains mostly to the single life cycle of a battery. The impact of multiple life cycles remains an important, and yet unanswered, question. The aim of this paper is to demonstrate advances of 2nd life applications for lithium ion batteries from electric vehicles based on their energy demand. Therefore, it highlights the limitations of a conventional life cycle analysis (LCA) and presents a supplementary method of analysis by providing the design and results of a meta study on the environmental impact of lithium ion batteries. The study focuses on energy demand, and investigates its total impact for different cases considering 2nd life applications such as (C1) material recycling, (C2) repurposing and (C3) reuse. Required reprocessing methods such as remanufacturing of batteries lie at the basis of these 2nd life applications. Batteries are used in their 2nd lives for stationary energy storage (C2, repurpose) and electric vehicles (C3, reuse). The study results confirm that both of these 2nd life applications require less energy than the recycling of batteries at the end of their first life and the production of new batteries. The paper concludes by identifying future research areas in order to generate precise forecasts for 2nd life applications and their industrial dissemination.


2010 ◽  
Vol 5 (2) ◽  
pp. 86
Author(s):  
Scott Marsalis

A Review of: Enger, K. B. (2009). Using citation analysis to develop core book collections in academic libraries. Library & Information Science Research, 31(2), 107-112. Objective – To test whether acquiring books written by authors of highly cited journal articles is an effective method for building a collection in the social sciences. Design – Comparison Study. Setting – Academic library at a public university in the US. Subjects – A total of 1,359 book titles, selected by traditional means (n=1,267) or based on citation analysis (n=92). Methods – The researchers identified highly-ranked authors, defined as the most frequently cited authors publishing in journals with an impact factor greater than one, with no more than six journals in any category, using 1999 ISI data. They included authors in the categories Business, Anthropology, Criminology & Penology, Education & Education Research, Political Science, Psychology, Sociology/Anthropology, and General Social Sciences. The Books in Print bibliographic tool was searched to identify monographs published by these authors, and any titles not already owned were purchased. All books in the study were available to patrons by Fall 2005. The researchers collected circulation data in Spring 2007, and used it to compare titles acquired by this method with titles selected by traditional means. Main Results – Overall, books selected by traditional methods circulated more than those selected by citation analysis, with differences significant at the .001 level. However, at the subject category level, there was no significant difference at the .05 level. Most books selected by the test method circulated one to two times. Conclusion – Citation analysis can be an effective method for building a relevant book collection, and may be especially effective for identifying works relevant to a discipline beyond local context.


2021 ◽  
Vol XII (1 (34)) ◽  
pp. 167-182
Author(s):  
Anna Gaweł

In pedagogical literature health pedagogy is trated as a subdiscipline of pedagogy, within which the theoretical foundations of modern health education are created. It has theoretical support in classical social pedagogy. The subject of research of health pedagogy is interdisciplinary and it covers issues related to a social health reality, which are analyzed from a pedagogical perspective and on the basis of the assumptions of modern philosophy of health and in connection with the achievements of medical and social sciences in the areas related to the protection and promotion of health. The article presents the formation of the theoretical foundations of pedagogical practice focused on health goals and the concepts and methods of practicing health pedagogy that are emerging today.


2021 ◽  
Vol 3 ◽  
Author(s):  
Alexandre K. Ligo ◽  
Krista Rand ◽  
Jason Bassett ◽  
S. E. Galaitsi ◽  
Benjamin D. Trump ◽  
...  

Applications of Artificial Intelligence (AI) can be examined from perspectives of different disciplines and research areas ranging from computer science and security, engineering, policymaking, and sociology. The technical scholarship of emerging technologies usually precedes the discussion of their societal implications but can benefit from social science insight in scientific development. Therefore, there is an urgent need for scientists and engineers developing AI algorithms and applications to actively engage with scholars in the social sciences. Without collaborative engagement, developers may encounter resistance to the approval and adoption of their technological advancements. This paper reviews a dataset, collected by Elsevier from the Scopus database, of papers on AI application published between 1997 and 2018, and examines how the co-development of technical and social science communities has grown throughout AI's earliest to latest stages of development. Thus far, more AI research exists that combines social science and technical explorations than AI scholarship of social sciences alone, and both categories are dwarfed by technical research. Moreover, we identify a relative absence of AI research related to its societal implications such as governance, ethics, or moral implications of the technology. The future of AI scholarship will benefit from both technical and social science examinations of the discipline's risk assessment, governance, and public engagement needs, to foster advances in AI that are sustainable, risk-informed, and societally beneficial.


2020 ◽  
Vol 12 (11) ◽  
pp. 4461 ◽  
Author(s):  
Christine Meschede

In 2015, the UN adopted the Sustainable Development Goals (SDGs), addressing social, environmental, and economic targets. Global partnerships, transnational, and interdisciplinary research are essential for achieving progress towards the SDGs. This study analyzes 4593 research articles at the meta-level, explicitly referring to the SDGs. This a comparably small amount of research items directly addressing the goals. However, comparisons with existing approaches using different queries are possible. Research that links to the SDGs through its title, keywords, or abstract facilitates knowledge sharing on the goals as it is easier to identify relevant work. Using scientometric means, we assessed the corresponding sources, research areas, affiliated countries, thematic foci, and the availability of funding acknowledgments. The results are useful for identifying research gaps and potential collaboration possibilities. The outcomes suggest that most research referring to the SDGs comes from the research areas Life Sciences & Biomedicine and Social Sciences. The most predominant SDG among the analyzed research articles is SDG 3 (“good health and well-being”). A relatively high share of open access articles contributes to the idea of knowledge sharing for the SDGs. Nearly 37% of all articles count as international publications, i.e., as being co-authored by authors from affiliations of multiple countries.


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