scholarly journals Scientometric Analysis of Computer Science Publications in Journals and Conferences with Publication Patterns

2020 ◽  
Vol 9 (1) ◽  
pp. 54-62
Author(s):  
Priti Kumari ◽  
Rajeev Kumar
Keyword(s):  
Computer Science ◽  
Scientometric Analysis ◽  
Publication Patterns

Scientometric analysis of the term 'microbiota' in research publications (1999–2017): a second youth of a century-old concept

2019 ◽  
Vol 366 (12) ◽  
Author(s):  
Lesya Baudoin ◽  
David Sapinho ◽  
Abdelghani Maddi ◽  
Luis Miotti
Keyword(s):  
Research Field ◽  
Scientometric Analysis ◽  
Research Front ◽  
Research Focus ◽  
Research Directions ◽  
Publication Patterns ◽  
Subject Categories ◽  
Great Progress ◽  
Important Health ◽  
New Research

ABSTRACTGreat progress in microbiota research during last decades resulted in a growing corpus of publications mentioning the term ‘microbiota’. Specifically, the human microbiota increasingly recognised nowadays as one of the most important health challenges is becoming an emerging research front. By examining over 28 000 microbiota-related papers from the Web of Science database, our study aims to characterise the evolution of publication patterns in this field between 1999 and 2017. The corpus is first analysed in terms of breakdown by journal subject categories, then an additional insight in the structuring of the microbiota research into different topics is provided by means of topic modelling. Our results demonstrate that over time (i) a substantial increase in the publications number is accompanied by a broad diversification of associated journal subject categories; (ii) the research focus moved outside from its primary research field showing successive shifts from dentistry and ecologically centred areas, through agri-food applied topics, towards the most recent clinical applications. The trends in thematic structure of the field presented from a historical perspective suggest that the current systemic approach to host–microbiota relationship inherited from the ecological background of the concept of microbiota has opened up a number of new research directions and perspectives.

Humanitarian Logistics

2018 ◽  
Vol 11 (4) ◽  
pp. 53-71 ◽  
Author(s):  
Anil Kumar ◽  
G.S. Kushwaha
Keyword(s):  
Research Impact ◽  
Humanitarian Logistics ◽  
Distribution Data ◽  
Scientometric Analysis ◽  
Authorship Pattern ◽  
Publication Patterns ◽  
Major Subject ◽  
Author Productivity ◽  
Subject Areas ◽  
Lotka’S Law

The concept of humanitarian logistics is evolving rapidly and gaining popularity in the research community. This research reviews the literature on humanitarian logistics for providing a thorough outlook into the field. In this study, Authors conducted a scientometric analysis of the literature published in 1998–2015 to empirically explore the important areas and key contributors of humanitarian logistics research and providing new outlook towards publication patterns, authorship pattern, major subject areas, research impact, and research productivity. By using scientometric analysis, the research critically evaluates 509 articles published over the past 18 years and identifies some of the major contributing authors, organizations and key research topics related to the field. In the last, the paper examines the validity of Lotka's law to authorship pattern in humanitarian logistics. The result found that the author productivity distribution data in humanitarian logistics do not follow Lotka's law. The findings of the study provide a new outlook on humanitarian logistics research.

scholarly journals Research Fronts of Computer Science: A Scientometric Analysis

2021 ◽  
Vol 10 (1) ◽  
pp. 18-26
Author(s):  
Wanjun Xia ◽  
Yanping Jiang ◽  
Weifeng Zhu ◽  
Shuang Zhang ◽  
Tianrui Li
Keyword(s):  
Computer Science ◽  
Scientometric Analysis ◽  
Research Fronts

scholarly journals Spatial data quality and uncertainty publication patterns and trends by bibliometric analysis

2019 ◽  
Vol 11 (1) ◽  
pp. 219-235 ◽  
Author(s):  
Elżbieta Bielecka ◽  
Elżbieta Burek
Keyword(s):  
United States ◽  
Remote Sensing ◽  
United Kingdom ◽  
Quantitative Analysis ◽  
Literature Review ◽  
Computer Science ◽  
Spatial Data ◽  
Publication Patterns ◽  
The United Kingdom ◽  
Spatial Data Quality

Abstract Using the literature review and quantitative analysis, the research on the quality and uncertainty of spatial data have been compared and analysed according to years of publication, authors, document types, WoS categories, and countries. The paper portrayed the development in the field, studied the state and evolution of the most productive and influential journals, conferences, and research institutions. The results showed that remote sensing, computer science, and geography relate mostly to data imperfection and assessment of its uncertainty. This relation is clearly translated into the most productive journals, and conferences proceedings. The top-ranked countries in this field are United States, China, and the United Kingdom.

scholarly journals A SCIENTOMETRIC ANALYSIS OF THE EMERGING TOPICS IN GENERAL COMPUTER SCIENCE

2020 ◽  
Vol 19 (Number 4) ◽  
pp. 583-622
Author(s):  
Norliza Katuk ◽  
Ku Ruhana Ku-Mahamud ◽  
Nur Haryani Zakaria ◽  
Ayad Mohammed Jabbar
Keyword(s):  
Computer Science ◽  
Citation Count ◽  
Subject Area ◽  
Library Science ◽  
Editorial Team ◽  
Scientometric Analysis ◽  
Journal Editorial ◽  
Emerging Topics ◽  
General Computer Science ◽  
General Computer

Citations have been an acceptable journal performance metric used by many indexing databases for inclusion and discontinuation of journals in their list. Therefore, editorial teams must maintain their journal performance by increasing article citations for continuous content indexing in the databases. With this aim in hand, this study intended to assist the editorial team of the Journal of Information and Communication Technology (JICT) in increasing the performance and impact of the journal. Currently, the journal has suffered from low citation count, which may jeopardise its sustainability. Past studies in library science suggested a positive correlation between keywords and citations. Therefore, keyword and topic analyses could be a solution to address the issue of journal citation. This article described a scientometric analysis of emerging topics in general computer science, the Scopus subject area for which JICT is indexed. This study extracted bibliometric data of the top 10% journals in the subject area to create a dataset of 5,546 articles. The results of the study suggested ten emerging topics in computer science that can be considered by the journal editorial team in selecting articles and a list of highly used keywords in articles published in 2019 and 2020 (as of 15 April 2020). The outcome of this study might be considered by the JICT editorial team and other journals in general computer science that suffer from a similar issue.

International Research and Variation in Views of Ethnicity

2012 ◽  
Vol 2 (2) ◽  
pp. 66-72
Author(s):  
Ella Inglebret ◽  
Amy Skinder-Meredith ◽  
Shana Bailey ◽  
Carla Jones ◽  
Ashley France
Keyword(s):  
United States ◽  
Classification System ◽  
International Research ◽  
The United States ◽  
Research Articles ◽  
Journal Articles ◽  
Research Participants ◽  
The Past ◽  
International Scale ◽  
Publication Patterns

The authors in this article first identify the extent to which research articles published in three American Speech-Language-Hearing Association (ASHA) journals included participants, age birth to 18 years, from international backgrounds (i.e., residence outside of the United States), and go on to describe associated publication patterns over the past 12 years. These patterns then provide a context for examining variation in the conceptualization of ethnicity on an international scale. Further, the authors examine terminology and categories used by 11 countries where research participants resided. Each country uses a unique classification system. Thus, it can be expected that descriptions of the ethnic characteristics of international participants involved in research published in ASHA journal articles will widely vary.

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