Analysis Of Research Productivity Research Articles

Mapping scientific knowledge discovery on COVID-19 pandemic and agriculture: a bibliometric analysis and future research directions.

This paper aims at analyzing the research productivity and scientific knowledge discovery of the COVID-19 pandemic in agriculture using a bibliometric analysis approach. A total of 1514 research papers indexed in the Scopus database, covering a period of 2020 to 2022, are processed using VOSviewer and R-Studio software. The analysis of research productivity indicates that the number of research publications on COVID-19 and agriculture has exponentially increased globally, and about 80% of the research papers have been published in the top 10 countries led by the USA, India, and China. The countries are increasingly collaborating in undertaking research on COVID-19 and agriculture. Furthermore, major journals and articles with citations have been extracted to analyze the leading publication avenues and focused areas of research. The science mapping is done using co-occurrence and thematic map. With the help of co-occurrence analysis, six clusters are identified depicting major research themes, i.e., COVID-19 and agricultural supply chain disruption, COVID-19 and human health issues and coping strategies, COVID-19 and non-human and animal health, COVID-19 pandemic and environment and pollution, COVID-19 and healthcare and treatment, and COVID-19 and food nutrition from dairy and meat products. The thematic map analysis identifies potential research areas such as mental health, anxiety, and depression in the agricultural system, which may help in setting future research agenda and help devising policy supports for managing the agriculture sector better during crisis. The paper also highlights the theoretical and practical implications.

Curriculum in natural sciences in Latin America: analysis of research production

This article presents the results of a research project aimed at analyzing the academic discourses on curriculum in Latin American publications in Web of Science. For this purpose, the methodological route is based on bibliometrics and content analysis from the search, systematization, and analysis of the articles gathered in the documentary corpus. The consolidation of research networks between Latin American and foreign authors is evidenced. However, national work teams prevail, which show the low discussion of perspectives. On the other hand, thematic niches are found in which the research projects are grouped. These niches are: (1) conceptions of science, (2) didactics and teaching, (3) teacher training, (4) interculturality, and (5) scientific research. It is concluded that research in curriculum in natural sciences is a diverse field that unites not only different perspectives of science but also different perspectives of curriculum, since it is associated both to a practical space in the teaching of science and to a theoretical space that involves epistemological perspectives of science and structure of contents.

Predicting the quality of air with machine learning approaches: Current research priorities and future perspectives

The spiraling growth of the world's population and unregulated urbanization have resulted in many environmental problems, including poor quality of air, which is associated with a wide range of health issues. Machine learning approaches have been extensively employed to predict air quality, attracting the attention of the scientific community worldwide. Bibliometric studies provide a useful means by which to visualize and analyze published works, helping researchers to make novel scientific contributions by filling existing knowledge gaps in the research. To acquire an in-depth understanding of the topic, this paper presents a bibliometric analysis of all published articles on the use of machine learning networks to predict air quality found in the Web of Science (WoS) search engine from 1992 to 2021. S-curve analysis and social network analysis were used to identify the temporal distribution of articles, productivity by countries/continents, research institutions, and scientific metrics of journal productivity. This study indicated that maximum expansion of the literature witnessed during 2017–2021 (second phase) which represents an expansion or growth stage of machine learning and air quality prediction research. The number of published works increased significantly with 1432 articles accounting for 68.51% of all publications. As a result of the increased interest in machine learning-based prediction tools, the number of articles grew 2.17-fold compared to the 1992–2016 (first phase). In terms of international collaboration impact, Italy emerged as the most successful country (43.44), followed by Greece (31.22) and Spain (23.29). Author keywords analysis was employed to explore and evaluate the emerging research trends on the subject of air quality using machine learning models. Keywords that appear most frequently in this study are ‘air pollution’, ‘air quality’, ‘machine learning’, and ‘forecasting’. Citation burst analysis, research productivity analysis, highly influential and highly cited works were also employed to examine various research themes and questions. In this study we also discussed how conventional methods were transformed into machine learning approaches. It is expected that this paper will provide technical guidelines, research priorities, and future opportunities for the precise prediction of air quality and emergency management of air pollution globally.

Analysis of Research Productivity and Assessment of Geographical Region in the General Surgery Match: How Much is Enough?

The number of publications of prospective surgical residents has steadily increased over the past decade as the emphasis on research output has become paramount. However, the reported data from the National Resident Matching Program (NRMP) does not discriminate amongst impact, author position, and region of matched residents. This study aimed to evaluate categorical general surgery postgraduate year 1 (PGY-1) residents' research productivity by programs' research impact and region of the United States and support the need for additional public data on research metrics of accepted applicants. We hypothesize that residents accepted to top quartile schools will have more total and first author publications and higher h-index compared to residents in the other quartiles, and research metrics would not differ amongst the regions. The Doximity Residency Navigator was used to sort general surgery programs based on research output, which was determined by the average h-index of residents. All 2021 matriculating PGY-1 categorical residents from the top two programs from each region and quartile that met study criteria were included in the analysis. Web of Science (WoS) citation database was used to collect prior to residency and current total publications, and the first, last, and corresponding author positions of these publications. Residents' h-index and various research metrics reported by WoS were recorded. Descriptive statistics were used to examine the association between quartile and region. Categorical general surgery residency programs throughout the United States. Categorical PGY-1 general surgery residents. The median total number of publications prior to residency was 1 (IQR = 0-5). The median total number of first-author publications prior to residency was 0 (IQR = 0-1), and the current h-index was 0 (IQR = 0-2). The top quartile had more total and first author publications prior to residency, while the other quartiles had similar metrics. Each region had similar total publications and h-index. Research output is significant for applicants applying to top-quartile research programs compared to the other 3 quartiles and is relatively similar throughout all regions of the United States. Public data is limited to future applicants.

An investigation of emerging COVID-19 research trends and future implications for LIS field: A bibliometric mapping and visualization.

The COVID-19 epidemic has proved a nightmare for human beings living all across the globe. It has severely affected all segments of human life. Consequently, enormous research has been conducted to assess and counter this global pandemic. This study reports finding of a bibliometric analysis on COVID-19 related literature published in the Library and Information Science journals, to identify current research trends and to suggest future directions for further research. It reveals a substantial increase in LIS publications on COVID-19 in the year 2020. The findings of the study are presented in two sections: first, the research productivity analysis provides an overview of the prominent authors, sources, institutions, and countries that published about COVID-19 in the LIS field. The second section offers a co-word thematic analysis of the significant emerging themes that provide an insight into current challenges faced by libraries and suggest future trends for research and practice in post-COVID era. The study exposes 5 major research themes and 11 sub-themes.

Scientometric analysis of research productivity from Indian dialysis over the last twenty years in Web of Science

This study aims to investigate the publication rate of Indian dialysis research and analyze the distribution of research areas. This research was a scientometric study that applied quantitative and qualitative bibliographies of Web of Science (WoS). The data were extracted from the Web of Science database between 2001 to 2020 of Indian dialysis research. We used bibliographic analyses using VOSviewer software for network analysis between 2001 to 2020. We performed analyses of journals, authors, publication years, organizations, and countries. We accessed 1503 documents published during the period, the majority of published in 2020 with 151 documents. The study revealed that Jha V is the most prolific author in this field with 100 papers and the highest h-index (25). Results showed that the most document types are journal Articles (1135) of a total number of publications. We observed from the journals, the most preferred choice of the authors to publish their research on Peritoneal Dialysis International (n = 77), whereas Indian Pediatrics (India) had the lowest articles (n = 14). The study also revealed that documents published a number of countries with limited relationship within the network, suggesting opportunities to build their research collaboration with leaders of significant networks or with other countries.

Research productivity in science and its relationship to race in South Africa

The research productivity of scholars is ordinarily affected by a combination of factors such as their age, gender, academic age, rank, qualification, experience, discipline, collaboration and co-authorship. A factor not often included in the analysis of research productivity is race. We examined the inter-relationship between race and other pertinent variables of research productivity of scholars in South Africa, drawing data from two waves of study. We found that there was an increase in the proportion of African respondents and in the productivity of both African and Indian respondents. Compared to 2008, African respondents had higher mean values than the rest in measures such as papers written in the last year, papers published in foreign journals, combined measure of journal publications and in total productivity in 2014. A significant proportion of African respondents has been moved to South Africa.
 Significance:
 
 The study reveals the complexities of research productivity of scholars in higher education and research institutions in South Africa and offers insights into the influence of race.
 The findings contribute to the study of transformation that is underway in higher education and research institutions in the country.

A Bibliometric Analysis of Research Productivity of Forest Research Institute, Dehradun During 2010-2014

A Bibliometric Analysis of Research Productivity of Forest Research Institute, Dehradun During 2010-2014

An Analysis of Research Productivity of Indian Institute of Technology’s (IITs) with Special Reference to ResearchGate

This paper examines the memberships and research contributions of Indian Institute of Technology’s (IITs) in ResearchGate. The data were extracted from ResearchGate website (https://www.researchgate.net) for this study during first week of September 2017. It was found that 18 IITs have contributed and also shared the research information through ResearchGate. Further the data was analyzed by Memberships of Faculties and Research Scholars, Research Contributions, ResearchGate (RG) Scores of IITs. It is found that the Indian Institute of Technology; Bombay has more members (8,439) with 6,320 publications and very less members by the Indian Institute of Technology; Palakkad has 15 members with no publications. It is suggested that Mandi, Gandhinagar, Jodhpur and palakkad IITs should come forwa

An Analysis of Research Productivity in Saudi Arabia and Iran

Aim/Purpose: Education is vital as it is a major investment in human capital. Tertiary education, in particular, contributes to the growth of knowledge and advances skills, which helps in the development of a country. This paper aims to look at the research and technological output at the tertiary level in Saudi Arabia and Iran. Background: Saudi Arabia and Iran have an aspiration for leadership in the Islamic world and have been fighting for regional domination. Providing an overview of their tertiary education in these countries could be used to understand where the countries stand in their social and economic aspirations, especially when their economies move from oil to knowledge-based. Methodology: To achieve the objective of the study, qualitative thematic analysis was done on secondary data extracted from the official websites of Organization of Islamic Cooperation (OIC), the World Bank and the Organization for Economic Cooperation and Development (OECD). Contribution: The data suggest that Iran has a higher research output and development at the tertiary level than Saudi Arabia. Saudi Arabia needs to focus on its research output to achieve its social and economic aspiration to move to a knowledge economy. Findings: The findings reveal that while Iran has a much larger tertiary system than Saudi Arabia, Saudi Arabia spends a higher percentage of its GDP on education (5.14%) than Iran (2.92%) and has a higher student-instructor ratio (19.85%) than Iran (15.26%). Despite less investment in education, Iran has published more articles (38,299) and filed more patents (14,279) than Saudi Arabia, which has fewer published articles (15,509) and patents filed (2406).

Scientometric Analysis of Research Productivity of KIIT Deemed to Be University, Bhubaneswar, Odisha, India

Scientometric Analysis of Research Productivity of KIIT Deemed to Be University, Bhubaneswar, Odisha, India

An Integrated Career Coaching and Time-Banking System Promoting Flexibility, Wellness, and Success: A Pilot Program at Stanford University School of Medicine.

Faculty in academic medicine experience multiple demands on their time at work and home, which can become a source of stress and dissatisfaction, compromising success. A taskforce convened to diagnose the state of work-life flexibility at Stanford University School of Medicine uncovered two major sources of conflict: work-life conflict, caused by juggling demands of career and home; and work-work conflict, caused by competing priorities of the research, teaching, and clinical missions combined with service and administrative tasks. Using human-centered design research principles, the 2013-2014 Academic Biomedical Career Customization (ABCC) pilot program incorporated two elements to mitigate work-life and work-work conflict: integrated career-life planning, coaching to create a customized plan to meet both career and life goals; and a time-banking system, recognizing behaviors that promote team success with benefits that mitigate work-life and work-work conflicts. A matched-sample pre-post evaluation survey found the two-part program increased perceptions of a culture of flexibility (P = .020), wellness (P = .013), understanding of professional development opportunities (P = .036), and institutional satisfaction (P = .020) among participants. In addition, analysis of research productivity indicated that over the two-year program, ABCC participants received 1.3 more awards, on average, compared with a matched set of nonparticipants, a funding difference of approximately $1.1 million per person. These results suggest it is possible to mitigate the effects of extreme time pressure on academic medicine faculty, even within existing institutional structures.

Longitudinal Analysis of Mechanism and Machine Theory: Geospatial Productivity, Journal Citation Networks, and Researcher Communities

This paper presents a longitudinal analysis through bibliometrics from three perspectives: geospatial analysis of research productivity, citation network analysis of journals, and top productive researchers with research communities. The purpose of these analyses is to detect the development and research trends of mechanism and machine theory (MMT) field. The results indicate that the productivity of MMT publications shows a growing trend. The United States (U.S.) has dominated MMT publications, but its ratio has dropped off approximately twenty percent in the past three decades, while China (CN) has rapidly grown in its quantity and ratio of MMT publications. The concentration of MMT publications among various countries has declined over time. Through citation network analysis, the relationships between journals in the MMT field are identified and their variations over periods are derived. The citations have been centered between five related journals and three core journals. Additionally, the evolution of research communities corresponding to the top 30 productive researchers and the distribution of the publications in each community among countries are identified.

Building tobacco control research in Thailand: meeting the need for innovative change in Asia.

IntroductionIn low- and middle-income countries (LMICs) over the past two decades locally relevant tobacco control research has been scant. Experience shows that tobacco control measures should be based on sound research findings to ensure that measures are appropriate for local conditions and that they are likely to have an impact. Research should also be integrated within tobacco control measures to ensure ongoing learning and the production of knowledge. Thailand, a middle-income country, has a public health community with a record of successful tobacco control and a longstanding commitment to research. Thailand's comprehensive approach includes taxation; bans on tobacco advertising, sponsorship and promotion; smoke-free areas; graphic cigarette pack warnings; social marketing campaigns; cessation counseling; and an established tobacco control research program. The purpose of this study was to document and analyze the development of tobacco control research capacity in Thailand and the impact of research on Thai tobacco control measures.MethodWe used mixed methods including review of historical documentation and policy reports, qualitative interviews with key members of Thailand's tobacco control community, and an analysis of research productivity.FindingsIn Thailand, tobacco control research has evolved through three phases: (1) discovery of the value of research in the policymaking arena, (2) development of a structure to support research capacity building through international collaborations supported by foreign funding agencies, and (3) delivery of locally relevant research made possible largely through substantial stable funding from a domestic health promotion foundation. Over two decades, Thai tobacco control advocates have constructed five steppingstones to success: (1) adapting foreign research to inform policymaking and lobbying for more support for domestic research; (2) attracting foreign funding agencies to support small-scale research and capacity building; (3) participating in multi-country research and capacity building programs; (4) using collaborative experiences to demonstrate the need for domestic support of locally relevant research; and (5) maintaining an unwavering commitment to research while being vigilant to ensure continued research support.ConclusionThe evolution of tobacco control research in Thailand provides examples of steppingstones that LMICs may be able to use to construct their own tobacco control research pathways.

Removing Size as a Determinant of Quality: A Per Capita Approach to Ranking Doctoral Programs in Finance

Rankings of finance doctoral programs generally fall into two categories: a qualitative opinion survey or a quantitative analysis of research productivity. The consistency of these rankings suggests either the best programs have the most productive faculty, or that the university affiliations most often seen in publications are correlated with institutional quality, which biases the rankings towards larger programs. The authors introduce a per capita measure of research output to evaluate finance programs in a context that removes absolute size as a variable. The results indicate that smaller programs in the field are frequently overlooked in traditional rankings.

Active prolific female scholars in communication: An analysis of research productivity, II

The authors analyzed the author's index in the 1992 Index to Journals in Communication Studies to answer several research questions regarding the productivity of female scholars in the field. A list of the top 25 was developed as well as information on where these researchers publish, where they teach, where they received their degrees, and when they received their degrees. Recommendations are made for future studies on service and teaching as well as research.