Measuring researcher independence using bibliometric data: A proposal for a new performance indicator

A comparison of 3 productive authors' research domains based on sources from articles, cited references and citing articles using social network analysis

BACKGROUND

An individual's research domain (RD) can be determined from objective publication data (e.g., medical subject headings and Medical Subject Headings (MeSH) terms) by performing social network analysis. Bibliographic coupling (such as cocitation) is a similarity metric that relies on citation analysis to determine the similarity in RD between 2 articles. This study compared RD consistency between articles as well as their cited references and citing articles (ARCs).

METHODS

A total of 1388 abstracts were downloaded from PubMed and authored by 3 productive authors. Based on the top 3 clusters in social network analysis, similarity in RD was observed by comparing their consistency using the major MeSH terms in author articles, cited references and citing articles (ARC). Impact beam plots with La indices were drawn and compared for each of the 3 authors.

RESULTS

Sung-Ho Jang (South Korea), Chia-Hung Kao (Taiwan), and Chin-Hsiao Tseng (Taiwan) published 445, 780, and 163 articles, respectively. Dr Jang's RD is physiology, and Dr Kao and Dr Tseng's RDs are epidemiology. We confirmed the consistency of the RD terms by comparing the major MeSH terms in the ARC. Their La indexes were 5, 5, and 6, where a higher value indicates more extraordinary research achievement.

CONCLUSION

RD consistency was confirmed by comparing the main MeSH terms in ARC. The 3 approaches of RD determination (based on author articles, the La index, and the impact beam plots) were recommended for bibliographical studies in the future.

Impact of COVID-19 pandemic on researcher collaboration in business and economics areas on national level: a scientometric analysis

Purpose

The coronavirus disease 2019 (COVID-19) pandemic has greatly impacted society and academic life and research practices. This study is an attempt to comprehend whether a global emergency of COVID-19 pandemic has an impact on researcher international collaboration. The authors analyze the research collaboration before and after the beginning of the COVID-19 pandemic to understand how scientists collaborated within their own nation's borders and beyond.

Design/methodology/approach

The authors analyze the research collaboration before and after the beginning of the COVID-19 pandemic to understand how scientists collaborated within their own nation's borders and beyond. The authors collected a dataset of research publications published in journals in the research area of business and economics and indexed in the WoS Core Collection database by researchers from 11 countries (Austria, Denmark, Greece, Indonesia, Iran, Ireland, Korea (South), Mexico, Pakistan, Romania and Vietnam). In total, 14,824 publication records were considered for the literature analysis. This study presented the scientometric analysis of these publications using bibliometric, statistical, factor analysis and network analysis methods. The results are evaluated and interpreted in the context of the Hofstede's model of cultural dimensions. The results of this study provide evidence to research management to properly allocate their efforts to improve the researcher cooperation during the ongoing COVID-19 pandemic and to overcome its negative outcomes in the years to come.

Findings

The results of our study show that uncertainty avoidance as the cultural factor defined by the Hofstede's model has significantly influenced the properties of research collaboration networks in the domain of business and economics. Uncertainty avoidance focuses on how cultures adapt to changes and cope with uncertainty, while the global COVID-19 pandemic introduced a lot of change and uncertainty all levels of society around the world.

Research limitations/implications

The study exclusively examines 14,824 research outputs which have been indexed in the WoS Core Collection database from 2019 till 15 November 2020 and only covered one research area (business economics). Thus, documents published in any other different channels and sources which are not covered in WoS are excluded from this study. The authors have analyzed the publications from just 11 countries, which represent a small part of the global research output. Also, the Hofstede’s cultural dimensions model is not a unique way to study cultural characteristics at the national level.

Practical implications

The results of this study will provide evidence to research management to properly allocate their efforts to improve the researcher cooperation during the still ongoing COVID-19 pandemic and to overcome its negative outcomes in the years to come.

Originality/value

Considering the global impact and social distress due to the outbreak of COVID-19 pandemic, this study is significant in the present scenario for identifying the changes in the characteristics of research collaboration networks of 11 diverse (in terms of geographical distribution and cultural differences in terms of the Hofstede’s cultural dimensions model) countries between 2019 (the year before COVID-19) and 2020 (the year of COVID-19), which has not been done before.

From pollutant removal to resource recovery: A bibliometric analysis of municipal wastewater research in Europe

Municipal wastewaters are abundant low-strength streams that require adequate treatment and disposal to ensure public and environmental health. This study aims to provide a comprehensive summary of municipal wastewater research in Europe in the 2010s in the form of bibliometric analysis. The work was based on the Science Citation Index Expanded (Web of Science) and carried out using the R-package bibliometrix for bibliometric data analysis and the software VOSviewer for science mapping. Analysing a dataset of 5645 publications, we identified the most influential journals, countries, authors, institutions, and publications, and mapped the co-authorship and keyword co-occurrence networks. Spain had produced the most publications while Switzerland had the highest average citations per publication. China was the most collaborative country from outside of Europe. Analysis of the most cited articles revealed the popularity of micropollutant removal in European municipal wastewater research. The keyword analysis visualized a paradigm shift from pollutant removal towards resource recovery and circular economy. We found that current challenges of resource recovery from municipal wastewater come from both technical and non-technical (e.g., environmental, economic, and social) aspects. We also discussed future research opportunities that can tackle these challenges.

ALIS: A novel metric in lineage-independent evaluation of scholars

Evaluative bibliometrics often attempts to explore various methods to measure individual scholarly influence. Scholarly independence (SI) is a unique indicator that can be used to understand and assess the research performances of individual scholars. The SI is a rare quality that most funding agencies and universities seek during funding decisions or hiring processes. We propose author lineage independent score (ALIS), a unique model to measure SI of a scholar by using his or her academic genealogy tree as the underlying graph structure. The analysis is performed on real data of 100 authors, collected from the Web of Science (WoS) and the Mathematics Genealogy Project. The analysis is further validated on a larger scale, on a simulated sample of 10,000 authors. The simulation exercise is the proof-of-concept for scalability of the metric and the proposed optimisation model. ALIS exploits genealogical relationships between scholars and their mentors and collaborating communities and constructs an influence scoring model based on the Genealogy tree structure of the respective scholars. The implications from the theoretical model are found to be profound in tracing known and recursive citation patterns among peers. The genealogy tree is used to investigate the advisor–advisee relationship and lays the foundation for defining metrics used to calculate the various indicators such as non-genealogy citations (NGCs), non-community citations (NCCs) and other citation quotient (OCQ). As these indicators/parameters are novel and thus not readily accessible, algorithms are written to compute these indicator values for the scholars under study.

A systematic metadata harvesting workflow for analysing scientific networks

One of the disciplines behind the science of science is the study of scientific networks. This work focuses on scientific networks as a social network having different nodes and connections. Nodes can be represented by authors, articles or journals while connections by citation, co-citation or co-authorship. One of the challenges in creating scientific networks is the lack of publicly available comprehensive data set. It limits the variety of analyses on the same set of nodes of different scientific networks. To supplement such analyses we have worked on publicly available citation metadata from Crossref and OpenCitatons. Using this data a workflow is developed to create scientific networks. Analysis of these networks gives insights into academic research and scholarship. Different techniques of social network analysis have been applied in the literature to study these networks. It includes centrality analysis, community detection, and clustering coefficient. We have used metadata of Scientometrics journal, as a case study, to present our workflow. We did a sample run of the proposed workflow to identify prominent authors using centrality analysis. This work is not a bibliometric study of any field rather it presents replicable Python scripts to perform network analysis. With an increase in the popularity of open access and open metadata, we hypothesise that this workflow shall provide an avenue for understanding scientific scholarship in multiple dimensions.

Managing ICT for Sustainable Education: Research Analysis in the Context of Higher Education

The use of information and communication technologies (ICTs) for the benefit of the environment favors the development of a sustainable education, which will help to train more responsible and aware students. The management of educational technology in the context of a sustainable higher education must achieve the internalization of ethics and the sustainable development of humanity. The main objective of this study is to, at a global level, examine the research during the period 2000–2019 on the management of ICTs for sustainable education in the context of higher education. Global research trends on this topic during the period 2000–2019 have been analyzed. Consequently, bibliometric techniques have been applied to a sample of 1814 articles selected from the Scopus database. The results provided data on the scientific productivity of the journal, authors, research institutions, and countries that contribute to the development of this topic. The evidence reveals an exponential trend, mainly in the last five years. In addition, current and future lines of research have been identified. Research at an international level presents a growing trend of publication that allows determination of the relevance of research on ICT management to achieve sustainable education in the context of higher education. This study makes it possible to establish the relationship between science, sustainability, and technology in higher education institutions, and to base the decision-making process for the driving agents of this area of knowledge.

Research Analysis on Emerging Technologies in Corporate Accounting

The technological transformation has directly affected the functional areas of companies. This circumstance has been a challenge for corporate accounting, since the emerging technology allows handling a large volume of data, and providing valuable information for operational management, managerial control, and strategic planning. The aim of this study is to analyze current and future lines of research globally, during the period 1961–2019, on emerging technologies in corporate accounting. For this, bibliometric techniques were applied to 1126 articles on this subject to obtain findings on scientific production and the main subject areas. Scientific production has increased annually, so that in the last decade de 60.66% of all articles have been published. The main subject areas in which more articles were linked were business, management and accounting, social sciences, and economics, econometrics, and finance. Six lines of research have been identified that generate contributions on this topic. Furthermore, the analysis of the relevance of the keywords has detected the main future directions of research. The increasing worldwide trend of scientific production shows interest in developing aspects of this field of study. This study contributes to the academic, scientific, and professional discussion to improve decision-making based on the available information.

Remote Sensing Applied in Forest Management to Optimize Ecosystem Services: Advances in Research

Research Highlights: the wide variety of multispectral sensors that currently exist make it possible to improve the study of forest systems and ecosystem services. Background and Objectives: this study aims to analyze the current usefulness of remote sensing in forest management and ecosystem services sciences, and to identify future lines of research on these issues worldwide during the period 1976–2019. Materials and Methods: a bibliometric technique is applied to 2066 articles published between 1976 and 2019 on these topics to find findings on scientific production and key subject areas. Results: scientific production has increased annually, so that in the last five years, 50.34% of all articles have been published. The thematic areas in which more articles were linked were environmental science, agricultural, and biological sciences, and earth and planetary sciences. Seven lines of research have been identified that generate contributions on this topic. In addition, the analysis of the relevance of the keywords has detected the ten main future directions of research. The growing worldwide trend of scientific production shows interest in developing aspects of this field of study. Conclusions: this study contributes to the academic, scientific, and institutional discussion to improve decision-making, and proposes new scenarios and uses of this technology to improve the administration and management of forest resources.

The Impact of the University Classroom on Managing the Socio-Educational Well-being: A Global Study

The university learning classroom, in addition to a space for activities and architectural object, has a direct impact on the academic motivation, well-being and social relationships of the students. Thus, the link between the university classroom and the management of the socio-educational well-being of the student, in accordance with the principles of well-being theory, is a challenge that the current university must manage. The progress of worldwide research on this topic has been studied during the period 2004-2018. For this aim, a bibliometric study of 1982 articles has been applied. The results provide data of the scientific productivity of the journals, authors, institutions and countries that contribute to this research. The evidence reveals growing interest, especially in the last six years. The main category is Social Sciences. The most productive journals are Computers and Education, American Journal of Pharmaceutical Education, and Theory into Practice. The author with most articles is Reddy, from Rutgers University. The most productive institution is the University of Virginia. The United States is the country with most academic publications, citations and with most international collaborations in its works. Worldwide research has followed an increasing trend, with optimum publication levels in latest years.