scholarly journals Research Trend on Data Mining: A Scientometric Study during 2011-2020, based on Web of Science

2021 ◽  
Vol 7 (4) ◽  
pp. 76
Author(s):  
S. Baskaran
Keyword(s):  
Data Mining ◽  
Web Of Science ◽  
Research Trend ◽  
Scientometric Study

A Scientometric Study of Unsafe Behavior Through Web of Science during 1991-2020

2021 ◽  
pp. 1-37
Author(s):  
Mahdi Malakoutikhah ◽  
Moslem Alimohammadlou ◽  
Hadiseh Rabiei ◽  
Seyed Aliakbar Faghihi ◽  
Mojtaba Kamalinia ◽  
...  
Keyword(s):  
Web Of Science ◽  
Unsafe Behavior ◽  
Scientometric Study

scholarly journals A Scientometric Study on Industrial Effluent and Sludge Toxicity

Toxics ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 176
Author(s):  
Amid Mostafaie ◽  
Diogo N. Cardoso ◽  
Mohammadreza Kamali ◽  
Susana Loureiro
Keyword(s):  
Industrial Wastewater ◽  
Web Of Science ◽  
Industrial Effluent ◽  
Toxicity Assessment ◽  
Complex Compounds ◽  
Treated Wastewater ◽  
Scientometric Analysis ◽  
Water Medium ◽  
Before And After ◽  
Scientometric Study

The growth of industrialization has led to an increase in the production of highly contaminated wastewater. Industrial wastewater contains highly complex compounds varying in characteristics and required to be treated before its discharge into a water medium from various industries. However, the efficiency of the treated wastewater from the toxicity reduction perspective is unclear. In order to overcome this barrier, toxicity assessment of the industrial wastewater before and after treatment is crucial. Thus, in this study, a scientometric analysis has been performed on the toxicity assessment of industrial wastewater and sludges, which have been reported in the literature. Web of Science (WoS) core collection database has been considered the main database to execute this analysis. Via the search of pre-researched keywords, a total number of 1038 documents were collected, which have been published from 1951 to 2020. Via CiteSpace software and WoS analyser, these documents went under analysis regarding some of the scientometry criteria, and the detailed results obtained are provided in this study. The total number of published documents on this topic is relatively low during such a long period of time. In conclusion, the need for more detailed contributions among the scientific and industrial communities has been felt.

Analysis of Diabetes Research Literature in India during 2019: A Scientometric Study

2021 ◽  
Vol 25 (1) ◽  
pp. 01-09
Author(s):  
Mahendra Kumar Patel ◽  
Maya Verma
Keyword(s):  
Web Of Science ◽  
Research Output ◽  
Research Literature ◽  
Diabetes Research ◽  
Authorship Pattern ◽  
Scientific Outputs ◽  
International Collaborative ◽  
Scientometric Study ◽  
Productive Authors

This study analyses the research output in diabetes literature in India during 2019 indexed on Web of Science database on several aspects includes growth, rank and global publication and share of international collaborative papers. It also analyses the most productive authors, top journals, on-year wise distribution, country wise distribution and authorship pattern of contribution. The highest number of scientific outputs belongs to USA, UK, Netherland, India followed by other countries which considerably had a lower rate of publication. Among all authors globally V. Mohan contributed 75 articles on Diabetes literature. From this study it was concluded that the publication on Diabetes literature was increased and more participation should be needed for the growth of Diabetes literature nationally throughout countries.

Authorship Trends and Collaborative Research in Dyslexia Research Output: A Scientometric Study

2018 ◽  
Vol 8 (2) ◽  
pp. 24-28
Author(s):  
Joy Sofiya SNE ◽  
S. Kavitha ◽  
R. Ponnudurai
Keyword(s):  
Collaborative Research ◽  
Web Of Science ◽  
Research Output ◽  
The Common ◽  
Scientometric Study ◽  
Distinguishing Features

The present study aims at describing both the common and the distinguishing features of co authorship trends and patterns in Dyxlexia research output based on the data collected from Web of science database published during the 1989-2017. Outcome of the study shows that multi authored articles 83.09% prevail the single authored articles 16.96%. It also shows that author Shaywitz SE J has got highest 7383 global citations against 54 publications. This study is in support for the fact that Dyslexia research output is collaborative in all aspects Ranking of Authors based on Publications.

scholarly journals Spatial Analysis for Landscape Changes: A Bibliometric Review

2021 ◽  
Vol 11 (21) ◽  
pp. 10078
Author(s):  
Maria Danese ◽  
Dario Gioia
Keyword(s):  
Spatial Analysis ◽  
Web Of Science ◽  
Research Topic ◽  
Point Of View ◽  
Research Trend ◽  
Landscape Changes ◽  
Bibliometric Review ◽  
Number Of Citations ◽  
The Web

The main aim of this study is to analyze from a bibliometric point of view the research trend in spatial analysis for landscape changes using the records published in the Web of Science database in the last twenty years. Several parameters such as documents published per year, sources of documents, number of citations as well as VOSviewer software and GIS are used for the analysis of different metrics such as the number of citations, co-authorship network, and keyword occurrences. Analysis of the number of papers, their keywords, and authorships countries shows the research trend in the specific topics of the spatial analysis for landscape changes and consequently can constitute a benchmark for researchers who approach this research topic.

THE RESEARCH TREND OF INFORMATION TECHNOLOGY AND DECISION MAKING IN 2009

2010 ◽  
Vol 09 (01) ◽  
pp. 1-8 ◽  
Author(s):  
YONG SHI
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Information Technology ◽  
Decision Support ◽  
Risk Analysis ◽  
Multiple Criteria Decision Making ◽  
Advisory Board ◽  
Research Trend ◽  
Research Topics

The research topics of the 39 papers published in the International Journal of Information Technology and Decision Making (IT&DM) in 2009 can be classified into three major directions: decision support, multiple criteria decision making, and data mining and risk analysis. The Editor-in-Chief, on behalf of the editorial board and advisory board, highlights the key ideas of these contributions. The seven papers in first issue of 2010 IT&DM are also introduced.

scholarly journals Agrupamentos epistemológicos de artigos publicados sobre big data analytics

2017 ◽  
Vol 29 (1) ◽  
pp. 91-100 ◽  
Author(s):  
Patricia Kuzmenko FURLAN ◽  
Fernando José Barbin LAURINDO
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Data Analytics ◽  
Web Of Science ◽  
Big Data Analytics ◽  
Isi Web Of Science

Resumo A era do big data já é realidade para empresas e indivíduos, e a literatura acadêmica sobre o tema tem crescido rapidamente nos últimos anos. Neste artigo, pretendeu-se identificar quais são os principais nichos e vertentes de publicação sobre o big data analytics. A opção metodológica foi realizar pesquisa bibliométrica na base de dados ISI Web of Science, utilizando-se aquele termo para focar as práticas de gestão de big data. Foi possível identificar cinco grupos distintos dentre os artigos encontrados: evolução do big data; gestão, negócios e estratégia; comportamento humano e aspectos socioculturais; mineração dos dados (data mining) e geração de conhecimento; e Internet das Coisas. Concluiu-se que o tema é emergente e pouco consolidado, apresentando grande variação nos termos empregados, o que influencia nas buscas bibliográficas. Como resultado complementar da pesquisa, foram identificadas as principais palavras-chave empregadas nas publicações sobre big data analytics, o que contribui para as pesquisas bibliográficas de estudos futuros.

CURRENT RESEARCH TREND: INFORMATION TECHNOLOGY AND DECISION MAKING IN 2008

2009 ◽  
Vol 08 (01) ◽  
pp. 1-5 ◽  
Author(s):  
YONG SHI
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Information Technology ◽  
Decision Analysis ◽  
Credit Scoring ◽  
Advisory Board ◽  
Research Trend ◽  
Web Based ◽  
Mining Methods ◽  
New Research

On behalf of the editorial advisory board of the International Journal of Information Technology and Decision Making (IT&DM), the Editor-in-Chief reviews the current research trend of this journal based on all the papers published in 2008. They are web-based decision analysis, credit scoring techniques and new data mining methods which combine both decision-making techniques and information technology tools. In addition, the Editor-in-Chief summarizes the key ideas of contributions in this new issue that may contain new research trend of IT&DM in 2009.

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