A Comprehensive Bibliometric Analysis for Category "Thermodynamics" within SCI-E - Part 5: Analysis of II, CHL and CngHL

2015 ◽  
Vol 806 ◽  
pp. 249-257 ◽  
Author(s):  
Predrag Dašić ◽  
Marina Karić
Keyword(s):  
Bibliometric Analysis ◽  
Half Life ◽  
Bibliometric Indicators ◽  
Immediacy Index

Category "Thermodynamics" was established in 1993 within SCI-E, starting with 25 journals, with only 55 journals in 2014, which is an increase of more than two times for the period observed. It is ranged as a category within SCI-E in 2014 according to number of journals on 100 position, from total 176 categories. This paper presents Part 5 of article series of a comprehensive bibliometric analysis for category "Thermodynamics" within SCI-E, in which bibliometric indicators are analyzed: Immediacy Index (II), Cited Half-Life (CHL) and Citing Half-Life (CngHL) for this category for the period 1993-2014. This analysis shows that journal: Progress in Energy and Combustion Science have by far the highest II and MII in this category and this period.Abbreviations:

scholarly journals BIBLIOMETRIC ANALYSIS OF PUBLISHED LITERATURE ON TAXATION IN MALAYSIA, BASED ON SCOPUS DATABASE

2021 ◽  
Vol 11 (Number 1) ◽  
pp. 59-86
Author(s):  
Abba Ya’u ◽  
Natrah Saad
Keyword(s):  
Bibliometric Analysis ◽  
Subject Area ◽  
Search Term ◽  
Bibliometric Indicators ◽  
Research Papers ◽  
Research Grants ◽  
Publish Or Perish ◽  
Tax Practitioners ◽  
Scopus Database ◽  
Universiti Utara Malaysia

Taxation research has received considerable attention from many scholars, practitioners and policymakers across the globe. Many scholars have also conducted research on taxation in the Malaysian context. However, papers that track the trends of such research are scanty in the existing literature. The aim of this study is to review the trend and frequencies of published literature on taxation in Malaysia based on the Scopus database using the search term “Malaysia and tax”. The design of the study is bibliometric analysis. As of 23rd September 2020, a total of 88 documents were retrieved and analysed using Excel, Hazing’s Publish or Perish and VOSviewer software. Based on the standard bibliometric indicators, this paper reports the research papers and source types, years and language of publications, subject area, most active institutions, most active sources’ titles, keywords, authorship, abstract, title analysis and citation analysis. Findings revealed that there is an increase in growth rate of literature on studies related to taxation in the Malaysian context from 1977 to 2020 published in the Scopos database. The publications reached an all-time peak in 2016 to 2017 but significantly dropped in 2018 and 2019 based on the data retrieved from the Scopus database. The findings further show that Universiti Teknologi MARA is the most influential institution with 18.18% of the total documents retrieved, followed by Universiti Utara Malaysia with 9.1% respectively. Additional findings of the study show that Advance Science Letters is the highest source title with 14.71% of the published documents. The finding also indicates that Adhikari, Derashid and Zhang (2006) are the most influential authors with 187 citations as at 23rd September 2020. The research is limited to the literatures published in Scopus database, other database were not covered in this study. Malaysian policymakers should provide more research grants to tax practitioners and academicians to increase the level of publications in this field.

scholarly journals A Bibliometric Analysis on Blockchain Technology Literature in Academic Journals

2019 ◽  
Vol 3 (2) ◽  
pp. 107
Author(s):  
Riska Nur Rosyidiana ◽  
Prinintha Nanda Soemarsono ◽  
Dani Egi Raharjo
Keyword(s):  
Bibliometric Analysis ◽  
Implementation Process ◽  
Future Trend ◽  
Single Server ◽  
Bibliometric Indicators ◽  
Blockchain Technology ◽  
Research Publications ◽  
Author Keywords ◽  
Scopus Database ◽  
Number Of Citations

A blockchain is a revolutionary system that connects computer networks in a decentralized and distributed manner. Blockchain allows the process of current transactions to be peer-to-peer (P2P) without relying on a single server. Once entered, information can never be erased. The blockchain contains a certain and verifiable record of every single transaction ever made. This study evaluated the development of research publications in the implementation process and future trend of Blockchain Technology. The aim of this study is to assist researchers in creating a theoretical framework and to provide a preliminary source of references in research mapping in this field. All research publications related to the implementation and future trend of Blockchain Technology in the Scopus database were analyzed using several bibliometric indicators. The authorship, number of citations, journal sources, publishers, institutions, and countries, year of publication, categories, and author keywords were examined.

scholarly journals Evaluation of unique identifiers used for citation linking

F1000Research ◽  
2016 ◽  
Vol 5 ◽  
pp. 1539
Author(s):  
Heidi Holst Madsen ◽  
Dicte Madsen ◽  
Marianne Gauffriau
Keyword(s):  
Literature Review ◽  
Bibliometric Analysis ◽  
Character Recognition ◽  
List Item ◽  
List Type ◽  
Bibliometric Indicators ◽  
Special Character ◽  
Number Of Citations ◽  
Error Types

Unique identifiers (UID) are seen as an effective tool to create links between identical publications in databases or identify duplicates in a database. The purpose of the present study is to investigate how well UIDs work for citation linking. We have two objectives: Explore the coverage, precision, and characteristics of publications matched versus not matched with UIDs as the match key.Illustrate how publication sets formed by using UIDs as the match key may affect the bibliometric indicators: Number of publications, number of citations and the average number of citations per publication.   The objectives are addressed in a literature review and a case study. The literature review shows that only a few studies evaluate how well UIDs work as a match key. From the literature we identify four error types: Duplicate digital object identifiers (DOI), incorrect DOIs in reference lists and databases, DOIs not registered by the database where a bibliometric analysis is performed, and erroneous optical or special character recognition. The case study explores the use of UIDs in the integration between the databases Pure and SciVal. Specifically journal publications in English are matched between the two databases. We find all error types except erroneous optical or special character recognition in our publication sets. In particular the duplicate DOIs constitute a problem for the calculation of bibliometric indicators as both keeping the duplicates to improve the reliability of citation counts and deleting them to improve the reliability of publication counts will distort the calculation of average number of citations per publication. The use of UIDs as a match key in citation linking is implemented in many settings, and the availability of UIDs may become critical for the inclusion of a publication or a database in a bibliometric analysis.

scholarly journals Bibliometric analysis in the evaluation of journals published by the Forest Research Institute: Forest Research Papers and Folia Forestalia Polonica Series A – Forestry

2017 ◽  
Vol 78 (3) ◽  
pp. 218-225
Author(s):  
Joanna Szewczykiewicz ◽  
Iwona Skrzecz ◽  
Katarzyna Materska
Keyword(s):  
Impact Factor ◽  
Bibliometric Analysis ◽  
Forest Research Institute ◽  
Bibliometric Indicators ◽  
Forest Research ◽  
Research Papers ◽  
Journal Citation Reports ◽  
Advisory Boards ◽  
Journal Citation ◽  
Research Institute

Abstract In recent years, there has been a significant increase in interest in publishing articles in journals recorded by global databases, in particular the Web of Science ™ Core Collection, which indexes journals found in the Journal Citation Reports. The publication of results in these journals has a significant impact on the assessment of the achievements of researchers and scientific institutions. Our study focused on the bibliometric analysis of two journals published by the Forest Research Institute: Forest Research Papers (Leśne Prace Badawcze) and Folia Forestalia Polonica Series A – Forestry. The results of these analyses were used to develop theoretical indices for the editorial boards of these journals in terms of requirements for including both periodicals in the Journal Citation Reports. The analysis covered the volumes published in 2000–2015 and the publication activity of the journals was evaluated on the basis of the numbers of articles, references, authors and journal citations. Bibliometric indicators such as the predicted Impact Factor, the Hirsch index, the Scimago Journal Rank and the Index Copernicus Value were used to evaluate the rank of the journals within the databases. In the examined period, 65 volumes of Forest Research Papers were published, with an average of 31 articles per year containing about 14,000 references and almost 900 contributing authors. During the same time frame, 30 volumes of Folia Forestalia Polonica Series A – Forestry were published, with an average of 14 articles per year. These articles included approximately 5,000 references and 600 authors. An increase in the bibliometric indicators for both journals was observed with the Impact Factor predicted to rise to 0.192 (Forest Research Papers) and 0.178 (Folia Forestalia Polonica Series A – Forestry). In order for the two examined journals to be included in the Journal Citation Reports the following requirements need to be met: (1) an increased number of articles published by authors with significant international authority in their field, (2) a greater number of researchers, especially from developed countries, in advisory boards, (3) more articles published in individual volumes to reach higher citation numbers in databases, and (4) promotion of the most cited articles.

scholarly journals Evaluation of unique identifiers used as keys to match identical publications in Pure and SciVal – a case study from health science

F1000Research ◽  
2016 ◽  
Vol 5 ◽  
pp. 1539
Author(s):  
Heidi Holst Madsen ◽  
Dicte Madsen ◽  
Marianne Gauffriau
Keyword(s):  
Literature Review ◽  
Bibliometric Analysis ◽  
Character Recognition ◽  
Health Science ◽  
Bibliometric Indicators ◽  
Matching Process ◽  
Special Character ◽  
Number Of Citations ◽  
Error Types

Unique identifiers (UID) are seen as an effective key to match identical publications across databases or identify duplicates in a database. The objective of the present study is to investigate how well UIDs work as match keys in the integration between Pure and SciVal, based on a case with publications from the health sciences. We evaluate the matching process based on information about coverage, precision, and characteristics of publications matched versus not matched with UIDs as the match keys. We analyze this information to detect errors, if any, in the matching process. As an example we also briefly discuss how publication sets formed by using UIDs as the match keys may affect the bibliometric indicators number of publications, number of citations, and the average number of citations per publication.  The objective is addressed in a literature review and a case study. The literature review shows that only a few studies evaluate how well UIDs work as a match key. From the literature we identify four error types: Duplicate digital object identifiers (DOI), incorrect DOIs in reference lists and databases, DOIs not registered by the database where a bibliometric analysis is performed, and erroneous optical or special character recognition. The case study explores the use of UIDs in the integration between the databases Pure and SciVal. Specifically journal publications in English are matched between the two databases. We find all error types except erroneous optical or special character recognition in our publication sets. In particular the duplicate DOIs constitute a problem for the calculation of bibliometric indicators as both keeping the duplicates to improve the reliability of citation counts and deleting them to improve the reliability of publication counts will distort the calculation of average number of citations per publication. The use of UIDs as a match key in citation linking is implemented in many settings, and the availability of UIDs may become critical for the inclusion of a publication or a database in a bibliometric analysis.

scholarly journals Bibliometric analysis of interventions with batterers in spain

2015 ◽  
Vol 8 (1) ◽  
pp. 99-108
Author(s):  
Victoria A. Ferrer-Perez ◽  
Esperanza Bosch-Fiol
Keyword(s):  
Bibliometric Analysis ◽  
Scientific Production ◽  
Gender Violence ◽  
Invisible College ◽  
Evidence Based ◽  
Bibliometric Indicators ◽  
Scientific Journals ◽  
Study Analyse ◽  
Lotka’S Law ◽  
Productive Authors

This study analyse the evolution and characteristics of scientific production on intervention programmes with gender violence perpetrators performed in Spain. The standard bibliometric indicators were applied to 148 studies identified. The greatest productivity is focused between 2008 and 2010 and the largest number of records corresponds to articles in specialised scientific journals. As far as authorship is concerned, an analysis of the number of studies per person indicates that the results obtained are only initially consistent with Lotka’s Law, that is, there are a majority of not very productive authors and a minority who publish frequently, but the data do not fit this law. An analysis of collaboration between authors enables us to determine the existence of one “Social Circle” or “Invisible College”, at least. Most of the records analysed focus on the description of one or several intervention programmes with men who abuse their partner. Results show that there are progressively more evidence based studies on batterers and their treatment.

A Comprehensive Bibliometric Analysis for Category "Thermodynamics" within SCI-E - Part 6: Analysis of EF and AI

2015 ◽  
Vol 806 ◽  
pp. 258-270 ◽  
Author(s):  
Predrag Dašić ◽  
Marina Karić
Keyword(s):  
Mass Transfer ◽  
Heat And Mass Transfer ◽  
Bibliometric Analysis ◽  
Bibliometric Indicators ◽  
Article Influence

Category "Thermodynamics" was established in 1993 within SCI-E, starting with 25 journals, with only 55 journals in 2014, which is an increase of more than two times for the period observed. It is ranged as a category within SCI-E in 2014 according to number of journals on 100 position, from total 176 categories. This paper presents Part 6 of article series of comprehensive bibliometric analysis for category "Thermodynamics" within SCI-E, in which bibliometric indicators are analyzed: Eigenfactor (EF) and Article Influence (AI) for this category for the period 2007-2014. This analysis shows that journals: Energy and International Journal of Heat and Mass Transfer have by far the highest EF and Progress in Energy and Combustion Science has the highest AI in this category and this period.Abbreviations:

Bibliometric assessment of national library information journals

2017 ◽  
pp. 3-17 ◽  
Author(s):  
Dmitri Demidov
Keyword(s):  
Comparative Analysis ◽  
Impact Factor ◽  
Bibliometric Analysis ◽  
Web Of Science ◽  
Bibliometric Indicators ◽  
Herfindahl Index ◽  
National Library ◽  
Data Source ◽  
Number Of Publications

Findings of the bibliometric analysis of national library and information journals are highlighted. The range of publications for comparative analysis is reviewed. The key bibliometric indicators for journals assessment are defined; the choice of the data source, namely RSCI database is substantiated. Among the indicators selected for analysis are: number of publications and citations, two-year impact factor, 5-year impact factor, five-year self-citation coefficient, 5-year Herfindahl index - by citation journals and by author’s institutions. On the basis of average factors, the citation dynamics for 2013 - 2015 is determined. Other factors of journals’ authority are also discussed: Inclusion into the HAC (Highest Attestation Commission), world abstract databases and Web of Science and Scopus citation systems.

scholarly journals Global Research Output on Sleep Research in Athletes from 1966 to 2019: A Bibliometric Analysis

2020 ◽  
Vol 2 (2) ◽  
pp. 99-119 ◽  
Author(s):  
Michele Lastella ◽  
Aamir Raoof Memon ◽  
Grace E. Vincent
Keyword(s):  
Bibliometric Analysis ◽  
Research Output ◽  
Final Analysis ◽  
Scientific Production ◽  
First Century ◽  
Future Research ◽  
Bibliometric Indicators ◽  
Sleep Research ◽  
Scopus Database ◽  
Number Of Publications

This study examined sleep research in athletes published between 1966 and 2019, through a bibliometric analysis of research output in the Scopus database. Following a robust assessment of titles, the bibliometric indicators of productivity for studies included in the final analysis were: Distribution of publications and citations (excluding self-citations), top ten active journals, countries, institutions and authors, single- and multi-country collaboration, and 25 top-cited papers. Out of the 1015 papers, 313 were included in the final analysis. The majority of the papers were research articles (n = 259; 82.8%) and published in English (n = 295; 94.3%). From 2011, there was a dramatic increase in papers published (n = 257; 82.1%) and citations (n = 3538; 91.0%). The number of collaborations increased after 2001, with papers published through international (n = 81; 25.9%) and national (n = 192; 61.3%) collaboration. Australia was the most prolific country in terms of number of publications (n = 97; 31.0%), and citations (n = 1529; 15.8%). In conclusion, after the beginning of the twenty-first century, the scientific production on sleep research in athletes has seen significant growth in publication and citation output. Future research should focus on interventions to improve sleep in athletes.

scholarly journals A Bibliometric Analysis of Symmetry (2009–2019)

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1304
Author(s):  
Bo Li ◽  
Zeshui Xu ◽  
Edmundas Kazimieras Zavadskas ◽  
Jurgita Antuchevičienė ◽  
Zenonas Turskis
Keyword(s):  
Bibliometric Analysis ◽  
Future Development ◽  
Web Of Science ◽  
Development Trend ◽  
Bibliometric Indicators ◽  
Research Fields ◽  
Science Theory ◽  
Scientific Disciplines ◽  
Visualization Tools ◽  
Research Hotspots

Symmetry is an international journal in the research fields of physics, chemistry, biology, mathematics, computer science, theory and methods, and other scientific disciplines and engineering. The first paper was published in 2009. Here, we make a bibliometric analysis of publications in Symmetry from 2009 to 2019. According to Web of Science (WoS), we obtained 3215 publications in this journal. First, we explore the publications, citation number, and citation structure based on bibliometric indicators. Second, we analyze the most influential objects, including countries/regions, institutions, authors, and papers. Cooperation networks are also presented. Next, the co-citation and burst detection analyses are conducted according to the techniques of visualization tools, i.e., VOSviewer and CiteSpace. Furthermore, the co-occurrence analyses and timeline view analyses of keywords are investigated, aiming to explore the research hotspots. Finally, this paper provides relatively thorough perspectives and reviews and discloses the future development trend of this journal and challenges for scholars, which will promote the development of the journal and in-depth research of scholars.

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