Bibliometric Models Research Articles

Research Trends and Highlights Toward Virtual Reality in Patients With Cancer: Bibliometric Analysis.

This retrospective bibliometric analysis was conducted to explore research trends and identify studies in fields of nursing, virtual reality, and cancer. Data were obtained from the Web of Science database using an advanced search strategy. The study data were analyzed using the R Studio software and visualized using VOSviewer. A total of 594 studies were retrieved and analyzed from January 1995 to December 2021. It was determined that 59.4% of the studies were research articles and that these studies had been conducted by 2771 authors. The reviewed studies were produced by researchers from 25 countries and were published in 29 different journals. Of these, 169 were conducted by researchers in the United States. "Virtual reality" and "nursing" were found to be prominent topics. Studies on virtual reality in patients with cancer in the field of nursing have increased over the past 8 years. Researchers have actively conducted studies in this field. Prominent studies have covered various patients with cancer in all age groups and palliative care processes. It was seen that the majority of the studies were randomized controlled trials, reviews, and systematic reviews. In addition, studies have used virtual reality as a distraction method in the management of symptoms in patients with breast, lung, and pediatric cancers undergoing chemotherapy treatment. This study provides a detailed and up-to-date analysis of the findings obtained from the Web of Science database by emphasizing bibliometric models of virtual reality technologies in nursing patients with cancer. We believe that the current data on the use of virtual reality applications in patients with cancer will guide the clinical practice and scientific studies of healthcare professionals.

THE SUSTAINABILITY REPORTING WITHIN THE ASEAN COUNTRIES; A BIBLIOMETRIC ANALYSIS REVIEW

Sustainability reporting is one of the company’s efforts to present non-financial information to stakeholders. It is hoped that this will increase the company’s transparency in all its activities related to the environment, social and economy. This study used a bibliometric analysis related to the previous studies related to the issue of sustainability reports. The current study was conducted by using data from the Scopus sources. The keyword used is sustainability reporting with a total data of 428 documents. The current study was carried out only for the ASEAN countries. The research identified several things including research contributions by countries, journals, topics, keywords, authorships, and affiliations. The finding shows that the ASEAN countries dominating the so-called studies related to the sustainability reporting is Malaysia and Indonesia. The mostly-used keywords are sustainability and sustainability reporting. This study also presents the data on journal affiliations and publishers who contributed to this study. The results have limitations including data sources and supporting software used. Sources of data only come from articles accredited by Scopus, then the data obtained is processed using only 1 software. The novelty of this research is to analyze the sustainability report issues by using a Bibliometric model in the ASEAN countries. It is expectedly used to provide more insight towards researchers and academia interested in discussing under sustainability reporting issues.

Experimental Pharmacology for COVID-19 Treatment: A Geoanalytical Bibliometric Analysis.

The objective of this study is to produce a geo-referenced map of the status of R&D in COVID-related studies in the world. Spatial mapping of bibliometric data of Cortellis Drug Discovery Intelligence through a spatial bibliometric model with the aid of a GIS (Geographic Information System) called ArcGIS and the software. We show the countries that have the most studies related to COV ID-19 and their degree of collaboration. No drug discovery-related activity was found in South America and Africa. A geo-referenced map of the most active countries in COVID research was constructed as well as conceptual maps of the 11 most representative drugs employed for COVID treatment. The georeferenced conceptual maps produced in the present report allow not only to better understand the leading institutions in R&D in COVID-19 related drugs but also to visualize their interactions and research relationships. This could offer, in addition to a coherent, organized multinational effort, the possibility of searching for other drugs that have been employed for other diseases and that, in terms of their conceptual relations, could represent some possibilities for treating the coronavirus SARS-2.

Gendering excellence through research productivity indicators

ABSTRACT As the importance of ‘excellence’ increases in higher education, so too does the importance of indicators to measure research productivity. We examine how such indicators might disproportionately benefit men by analysing extent to which the separate components of the Norwegian Publication Indicator (NPI), a bibliometric model used to distribute performance-based funding to research institutions, might amplify existing gender gaps in productivity. Drawing from Norwegian bibliometric data for 43,500 individuals, we find that each element of the indicator (weighting based on publication type, publication channel, and international collaboration, as well as fractionalization of co-authorship) has a small, but cumulative effect resulting in women on average receiving 10 per cent fewer publication points than men per publication. In other words, we see a gender gap that is not only caused by a difference in the level of production but is also amplified by the value ascribed to each publication.

Assessment of the Toxicity of Quantum Dots through Biliometric Analysis.

Along with the rapid development of nanotechnology, the biosafety of quantum dots (QDs), a widely used kind of nanoparticles, has grabbed the attentions of researchers, because QDs have excellent and unique optical properties that other commonly used nanoparticles, like walled carbon nanotubes, do not have. The understanding of the toxicity of QDs is an important premise for their application in wider fields, including biology and medicine. This study sought to analyze scientific publications on the toxicity of QDs and to construct a bibliometric model for qualitative and quantitative evaluation of these publications over the past decade, which visually presented the status quo and future development trend on the toxicological study of QDs. A search for data using the triple blind method revealed that, as of 31 December 2018, there were 5269 papers published on the toxicity of QDs. RSC ADVANCES (5-year IF, 3.096) ranked first in the number of publications. China had the largest number of publications (2233) and the highest H-index (119), but the United States was still the leading country with regards to the quality of the research. LIU Y (106 publications) published the most papers, while Hardman R (304 co-citations) had the most co-citations. The keyword “walled carbon nanotube” ranked first in the research frontier. The findings not only determine a development trend of the toxicological study of QDs, but also identify further research directions in this field.

Bibliometric aspect of the detection of perspective areas in research organization: case study of earth sciences

Detection of perspective research areas in academic studies is of key importance for successful development and enhancement of the competitive performance of research organizations, universities, and the country. This task is usually solved by the expert community; however, the use of results of bibliometric analysis can give significant support to experts for informed decisions. The paper uses a case study of Earth Sciences to present a bibliometric model for the detection of perspective research in individual research organizations. The model is based on multiplex analysis of publications from the analyzed organization using content analysis and citation analysis.

A Bibliometric Model to Analyze Country Research Performance: SciVal Topic Prominence Approach in Tourism, Leisure and Hospitality

This paper aimed to evaluate the Portuguese scientific production within Tourism, Leisure and Hospitality Management (TLHM). To this end, 572 papers from 51 peer-reviewed Scopus journals were mapped through a mixed bibliometric analysis method. The results indicated that Portugal has a significant TLHM research production, with an outstanding performance in terms of topic prominence percentile. Additionally, Portuguese TLHM research collaboration has increased significantly in recent years. It should be pointed out, however, that this production is significantly skewed towards tourism-specific studies rather than hospitality. This study presents a new bibliometric contribution by bringing the SciVal topic prominence and prominence percentile to the TLHM field and presenting a new country research performance model, indicating a new way to evaluate a country’s research performance. Additionally, this investigation featuring the overall structure of Portuguese TLHM research provides clear outlines to concerned bodies regarding researcher and institution performance and gives helpful and timely information to researchers, scholars, government managers, industry managers, and tourism and hospitality consultants.

A comparison of large-scale science models based on textual, direct citation and hybrid relatedness

Recent large-scale bibliometric models have largely been based on direct citation, and several recent studies have explored augmenting direct citation with other citation-based or textual characteristics. In this study we compare clustering results from direct citation, extended direct citation, a textual relatedness measure, and several citation-text hybrid measures using a set of nine million documents. Three different accuracy measures are employed, one based on references in authoritative documents, one using textual relatedness, and the last using document pairs linked by grants. We find that a hybrid relatedness measure based equally on direct citation and PubMed-related article scores gives more accurate clusters (in the aggregate) than the other relatedness measures tested. We also show that the differences in cluster contents between the different models are even larger than the differences in accuracy, suggesting that the textual and citation logics are complementary. Finally, we show that for the hybrid measure based on direct citation and related article scores, the larger clusters are more oriented toward textual relatedness, while the smaller clusters are more oriented toward citation-based relatedness.

Systematic mapping of organophosphate contaminant (OPC) research trends between 1990 and 2018

Since the addition of polybrominated diphenyls and organochlorine pesticides (OCPs) to the world banned list, toxic organophosphate contaminants (OPCs) such as organophosphate flame retardants and organophosphate pesticides have been, respectively, used as substitutes. These chemicals are reported to be more toxic than their halogenated counterparts. It is rare to find a study that focuses on visualising the publication trends of these chemical classes. In this study, we employed a bibliometric model to systematically map research activities between 1990 and 2018 using OPC articles retrieved from the WoS and Scopus databases. A total of 1090 articles were retrieved from the hybrid databases with an article/author and author/article ratio of 0.33 and 3.02, respectively. Articles on OPC studies were positively correlated with the number of years (r2 = 0.96; y = 0.23x2 - 3.82x + 27.90) suggesting an increase in the number of articles on this subject in future. The USA ranked first in terms of articles (n = 245) and citations (n = 12,922) followed by China and India (203 and 89 articles, respectively). Articles from China and the USA had strong collaboration with other countries. Research priorities and top author keywords included pesticides (n = 112), organophosphate (n = 83) and acetylcholinesterase (n = 60) and were also well represented in keywords-plus. Developed countries had higher outputs compared to developing countries. It was observed that from our thematic literature classifications, human toxicity, ecotoxicological impacts, and environmental monitoring of OPCs were of greater importance to scholars, thus indicating the direction of future research. Futuristic studies need to foster partnership with policymakers, journalists, consultants, farmers, artisans and community workers on OPC research. This will not only enhance scientific communication and community engagement but will also increase the awareness of these pollutants to the general public.

A holistic model integrating value co-creation methodologies towards the sustainable development

In the current context, it is observed the need of organizations and institutions not only to satisfy diverse stakeholder expectations as well as meeting the growing need for sustainability innovations. Taking that into account, co-creation can play a key role in stakeholders engagement and sustainable practices could provide a participatory and integrative environment. However, it is barely discussed by academics and practitioners how value co-creation can be a relevant mechanism for sustainable development (SD), what are the key factors for co-creation aimed at SD and how to align co-creation with sustainability. To answer these questions, this study aims to propose a conceptual model of co-creation for sustainability, involving techniques and methodologies aimed at stakeholder engagement and contribution to SD. We used mixed methods approach, based on the use of a bibliometric model, followed by a Survey with application of a structured questionnaire for participants from virtual communities of co-creation processes or sustainability. Based on content analysis and statistical analyzes, a complex interconnection was observed, demonstrating the configuration of an open system, which could be better understood from the construction of a holistic model of co-creation for sustainability. The model can contribute to the meeting of the disciplines of co-creation and the triple bottom line vision of sustainability, integrating key factors and different methodologies that generally are studied in an exclusive and non-complementary way, becoming innovative for the academic, business and social environment. Lastly, it can be concluded that the model can be used integrally or in parts, in organizations of any nature, formal or otherwise, or even from the integration of some individuals of the society who seek solutions for sustainable development.

A bibliometric model for identifying emerging research topics

Detecting emerging research topics is essential, not only for research agencies but also for individual researchers. Previous studies have created various bibliographic indicators for the identification of emerging research topics. However, as indicated by Rotolo et al. (Research Policy 44, 1827–1843, ), the most serious problems are the lack of an acknowledged definition of emergence and incomplete elaboration of the linkages between the definitions that are used and the indicators that are created. With these issues in mind, this study first adjusts the definition of an emerging technology that Rotolo et al. () have proposed to accommodate the analysis. Next, a set of criteria for the identification of emerging topics is proposed according to the adjusted definition and attributes of emergence. Using two sets of parameter values, several emerging research topics are identified. Finally, evaluation tests are conducted by demonstration of the proposed approach and comparison with previous studies. The strength of the present methodology lies in the fact that it is fully transparent, straightforward, and flexible.

Exploring the <i>h</i>-type Measure and its Theoretical Model in the Context of E-Commerce

The aim of this study is to find whether the h- index and Schubert-Glanzel model which was originally used in bibliometrics can work in the broader social and information systems, such as e-commerce. This study introduces the popularity index (h P ) to profile on-line sellers and products and tests the accuracy of the Schubert-Glanzel model of the h P index using the Levenberg-Marquardt algorithm. The h P index was tested on Taobao, a leading Chinese e-commerce marketplace. About 300 products on Taobao were randomly selected from 10 categories of the most popular on-line products as samples for this study. It was found that h P is consistent with the Schubert-Glanzel model the h- index. This shows that the existing theoretical bibliometric model which was originally used in the scientific literature, could be helpful in the broader social or information systems.

The heterogeneous landscape of bibliometric indicators: Evaluating models for allocating resources at Swedish universities

The use of bibliometric indicators on individual and national levels has gathered considerable interest in recent years, but the application of bibliometric models for allocating resources at the i ...

Towards a simple mathematical theory of citation distributions.

The paper is written with the assumption that the purpose of a mathematical theory of citation is to explain bibliometric regularities at the level of mathematical formalism. A mathematical formalism is proposed for the appearance of power law distributions in social citation systems. The principal contributions of this paper are an axiomatic characterization of citation distributions in terms of the Ekeland variational principle and a mathematical exploration of the power law nature of citation distributions. Apart from its inherent value in providing a better understanding of the mathematical underpinnings of bibliometric models, such an approach can be used to derive a citation distribution from first principles.

Quality Research in Higher Education Institutions in Oman: Some Views of Teacher Researchers

Academic research remains a prime source of knowledge and innovation for higher education institutions (HEIs) that strive to grow, expand and develop their academic reputations and standards. Yet, research informs teaching practices, shapes social changes and it has financial outcomes for HEIs. Therefore, it is imperative to develop institutional policies and strategies for promoting and sustaining quality research in HEIs in Oman. There are a number of international frameworks and models which have been developed to measure research quality in HEIs around the world. For example, bibliometrics were used to assess research quality in HEIs in the UK because bibliometric data can provide a number of component variables. An appropriate bibliometric model may include components such as output volume, diversity of outputs, citation volume, journal impact factor and average citations per publication, etc. Moreover, other popular examples of models for assessing research quality are Multidimensional Research Assessment Matrix (MRAM) used in Europe and the UK’s Research Assessment Exercise (RAE). However, neither of the above mentioned models is adopted by HEIs in Oman. Thus, the current study is an attempt to explore some institutional, international, logistic and pragmatic factors that impact academic research and publication quality, review popular international research quality assessment models and explore the possibility of applying them in the Omani context. To achieve the study objectives, 20 teacher researchers were surveyed and the findings and recommendations were presented. Keywords: Quality Research, HEIs in Oman, International Models, Factors, Teacher Researchers' Views

How good is a model based on bibliometric indicators in predicting the final decisions made by peers?

Abstract This paper shows how bibliometric models can be used to assist peers in selecting candidates for academic openings. Several studies have demonstrated that a relationship exists between results from peer-review evaluations and results obtained with certain bibliometric indicators. However, very little has been done to analyse the predictive power of models based on bibliometric indicators. Indicators with high predictive power will be seen as good instruments to support peer evaluations. The goal of this study is to assess the predictive power of a model based on bibliometric indicators for the results of academic openings at the level of Associado and Catedratico at Portuguese universities. Our results suggest that the model can predict the results of peer-review at this level with a reasonable degree of accuracy. This predictive power is better when only the scientific performance is assessed by peers.

A dynamic bibliometric model for identifying online communities

Predictive modelling of online dynamic user-interaction recordings and community identification from such data becomes more and more important with the widespread use of online communication technologies. Despite of the time-dependent nature of the problem, existing approaches of community identification are based on static or fully observed network connections. Here we present a new, dynamic generative model for the inference of communities from a sequence of temporal events produced through online computer- mediated interactions. The distinctive feature of our approach is that it tries to model the process in a more realistic manner, including an account for possible random temporal delays between the intended connections. The inference of these delays from the data then forms an integral part of our state-clustering methodology, so that the most likely communities are found on the basis of the likely intended connections rather than just the observed ones. We derive a maximum likelihood estimation algorithm for the identification of our model, which turns out to be computationally efficient for the analysis of historical data and it scales linearly with the number of non-zero observed (L + 1)-grams, where L is the Markov memory length. In addition, we also derive an incremental version of the algorithm, which could be used for real-time analysis. Results obtained on both synthetic and real-world data sets demonstrate the approach is flexible and able to reveal novel and insightful structural aspects of online interactions. In particular, the analysis of a full day worth synchronous Internet relay chat participation sequence, reveals the formation of an extremely clear community structure.

A bibliometric model for journal discarding policy at academic libraries

AbstractThe authors propose a bibliometric model for discarding journal volumes at academic libraries, i.e., removal to offsite storage as part of the library's serials collection. The method is based on the volume as the unit of measurement and on user satisfaction with given titles. The discarding age, calculated for each volume, from the year of publication to the year of decision to discard, is dependent on citation half‐life, relative productivity, knowledge area, and residual utility (potential consultations). The model makes it possible to predict the approximate size of a collection when a stationary state is reached in which the inflow of journal volumes is equal to the outflow from discarding. The model is also able to determine the rate of growth of the holdings. This information can be used to optimize future use of available space and economic and maintenance resources; thus promoting efficient management of the collection.

From theoretical essentials to paradigms: the development path of electronic commerce research

To examine the development path of electronic commerce research, this study proposes a generic bibliometric model through which the most important documents and the most influential scholars are identified and presented as a solid foundation for a knowledge network in the electronic commerce area. Such a model helps identify the invisible knowledge network that traces the evolution of electronic commerce research, and provides a valuable tool for researchers to access the literature in this area. Furthermore, this model can be extended to explore the research path of other emerging fields, which is important for future interdisciplinary studies.

A Methodological Approach to Developing Bibliometric Models of Types of Humanities Scholarship

This article outlines a methodological approach to developing bibliometric models of the sources used in different types of humanities scholarship. It identifies five types of scholarship: description of primary sources, editing of primary sources, historical studies, criticism, and theory. It illustrates the approach through an analysis of sources used in fifty-four monographs in literary studies and art scholarship. The article shows how the five types use combinations of sources that differ in format, age, and subject.