Browsing by Author "Anurag Kanaujia"

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A Bibliometric Analysis of Research on Sustainable Development Goals by the G20 Countries
(National Institute of Science Communication and Policy Research, 2024) Aakash Singh; Anurag Kanaujia; Vivek Kumar Singh
United Nations Sustainable Development Goals (SDGs) and their targets are highly interconnected and require international collaboration. In this context, the G20 organization of 20 countries/units, founded in 1999 holds an important position being an important political and economic platform for addressing various developmental concerns. With 75% of global population, the Group Nations accounts for 85% of the global GDP and about 75% of the global trade. Considering the strength, resources and representation of these countries, they hold the major part of the responsibility towards achieving the SDGs. Scientific and technological research is a major requirement for achieving the SDGs. Given that the G20 has about 88.8% of the world’s researchers, 93.2% of research spending and produce about 90.6% of scientific publications, it would be interesting to analyse what quantum of this research is focused on achieving the SDGs. However, there are no existing studies on this aspect. This study, therefore, attempts to bridge this research gap by presenting a quantitative analysis of research on SDGs by the G20 member countries. Important patterns are identified, which can be useful for different policy perspectives. © 2024 National Institute of Science Communication and Policy Research. All rights reserved.
Artificial intelligence for Sustainable Development Goals: Bibliometric patterns and concept evolution trajectories
(John Wiley and Sons Ltd, 2024) Aakash Singh; Anurag Kanaujia; Vivek Kumar Singh; Ricardo Vinuesa
The development of artificial intelligence (AI) as a field has impacted almost all aspects of human life. More recently it has found a role in addressing developmental challenges, specifically the Sustainable Development Goals (SDGs). However, there are not enough systematic studies on analysis of the role of AI research towards the SDGs. Therefore, this article attempts to bridge this gap by identifying the major bibliometric trends and concept-evolution trajectories in the area of AI applications for sustainable-development goals. The research publication data for the last 20 years in the areas of artificial intelligence, machine learning, deep learning, and so forth, is obtained and computationally analysed using a framework comprising bibliometrics, path analysis and content analysis. The findings show an incremental trend in overall publications on the application of AI for SDGs across the different regions of the world. SDGs 3 (good health & well-being) and 7 (affordable and clean energy) are found as the areas with the most applications of AI. In SDG3, the literature reflects application of AI techniques such as deep learning for precision and personalised medicine while in SDG7, a number of studies have employed AI techniques for the integration of systems for efficient generation of solar power and improving the energy efficiency of a building. Furthermore, SDG 4 (quality education), SDG 13 (climate action), SDG 11 (sustainable cities and communities) and SDG 16 (peace, justice and strong institutions) are the other SDGs where AI approaches and techniques are applied. The analytical results present a detailed insight of application of AI for achieving the SDGs. © 2023 The Authors. Sustainable Development published by ERP Environment and John Wiley & Sons Ltd.
Data to Decisions: A Computational Framework to Identify Skill Requirements from Advertorial Data
(Springer Science and Business Media Deutschland GmbH, 2025) Aakash Singh; Anurag Kanaujia; Vivek Kumar Singh
Human capital, or skilled labor, stands out among the factors of production due to its ability to continually evolve and adapt to changing conditions and resources. This flexibility makes human capital the most essential factor for achieving sustainable growth in any industry/sector. As new technologies are developed and adopted, the new generations are required to acquire skills in newer technologies in order to be employable. At the same time professionals are required to upskill and reskill themselves to remain relevant in the industry. There is however no straightforward method to identify the skill needs of the industry at a given point of time. Therefore, this paper proposes a data to decision framework that can successfully identify the desired skill set in a given area by analysing the advertorial data collected from popular online job portals and supplied as input to the framework. The proposed framework uses techniques of statistical analysis, data mining and natural language processing for the purpose. The applicability of the framework is demonstrated on CS&IT job advertisement data from India. The analytical results not only provide useful insights about current state of skill needs in CS&IT industry but also provide decision support to prospective job applicants, training agencies, and institutions of higher education & professional training. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Exploring the Publication Metadata Fields in Web of Science, Scopus and Dimensions: Possibilities and Ease of doing Scientometric Analysis
(Phcog.Net, 2024) Prashasti Singh; Vivek Kumar Singh; Anurag Kanaujia
Publication of a large number of research papers during the last few decades motivated creation of scholarly databases for indexing the publications and recording citations. The publication metadata fields in scholarly databases are now retrieved for various purposes ranging from information search and retrieval to research evaluation. Traditionally, Web of Science and Scopus have been major database sources used. However, with the creation of newer databases like Dimensions, the choice has expanded further. The coverage and citation data of the major databases have been compared in many previous studies. However, there is no existing work on comparison of metadata fields provided by the scholarly databases and the impact that metadata fields provided may have on scientometric research. This work, therefore, attempts to bridge this research gap by comparing the metadata fields contained in the data downloaded through the User Interface (UI) based search from three major scholarly databases- Web of Science, Scopus and Dimensions. The effect of existence or absence of a metadata field in a database on the possibilities and the ease of doing scientometric analysis is explored. The findings are useful for scientometric researchers, practitioners and database managers. © Author (s) 2024.
Google Scholar as a pointer to open full-text sources of research articles: A useful tool for researchers in regions with poor access to scientific literature
(Routledge, 2023) Vivek Kumar Singh; Satya Swarup Srichandan; Rajesh Piryani; Anurag Kanaujia; Sujit Bhattacharya
The access to knowledge is an important requirement for advancement of scientific and technological research and development of a country. Availability of resources is a crucial bottleneck for universities and colleges in developing countries. This leads to frequent use of pirate access sites like Sci-Hub by researchers. For instance, India has more than 900 universities and 40,000 colleges, and Africa has more than 1200 universities. Only a few of these institutions would have access to most of the research journals their scholars require. It is in this context that we tried to find out if there exist some resources which can provide links to open and free to download versions of scientific papers. Google Scholar, a heavily used resource for research article searches, is explored to see how effective it is in providing links to open access freely downloadable copies of scientific articles. The complete set of global scientific publications for the year 2016 are computationally analyzed through a web-mining approach, as an example, to see if Google Scholar is able to point to freely downloadable open text versions of scientific articles. Results show that Google Scholar points to full-text sources for about 69% of the articles queried, with about 43% of the articles having openly accessible full-texts. The results, thus, indicate that Google Scholar can be a useful tool for locating open access full-text versions of close to about half of the scientific articles of the world, which has special significance for under-developed and developing countries. © 2022 African Journal of Science, Technology, Innovation and Development.
Indian Science Reports: A Portal for Comprehensive Mapping of S&T Data and Analytics for India at an Overall and Institutional Level
(Phcog.Net, 2023) Vivek Kumar Singh; Anurag Kanaujia; Prashasti Singh; Abhirup Nandy
This article is a commentary on features and usefulness of a newly developed STI data portal, Indian Science Reports (ISR) (available at www.indianscience.net). The ISR portal is an attempt towards a systematic portal on STI data and analytics for India, both at an overall as well as at the institutional level. It can be used by a very wide audience for a variety of purposes ranging from research performance assessment to evidence-based policy formulation. © Author (s) 2023.
Indian Science Reports: a web-based scientometric portal for mapping Indian research competencies at overall and institutional levels
(Springer Science and Business Media B.V., 2022) Vivek Kumar Singh; Abhirup Nandy; Prashasti Singh; Mousumi Karmakar; Aakash Singh; Hiran H. Lathabai; Satya Swarup Srichandan; Anurag Kanaujia
The article presents an introduction to a newly created scientometric portal called Indian Science Reports, available at www.indianscience.net. The portal is designed to fulfil the need for a single integrated resource for analytical data about research competencies of India at an overall level as well as Indian institutions at an individual level. India’s research performance in terms of research output, citations, highly cited papers, international collaboration, open access levels, gender distribution and social media visibility etc. are computationally analysed using publication metadata collected from Dimensions database. The portal also provides a mechanism to look for research performance of all major Indian higher education institutions, on various standard parameters, through an institutional search. Further, a concept-based search is integrated to identify top performing Indian institutions on a given research topic. The portal, thus, provides an invaluable resource of Indian scientific research data and information, which can be used for various purposes ranging from scientometric evaluation to thrust area-based funding decisions. © 2022, Akadémiai Kiadó, Budapest, Hungary.
International research collaboration among the G-20 countries
(Indian Academy of Sciences, 2024) Vivek Kumar Singh; Anurag Kanaujia; Prashasti Singh; Jyoti Dua; Hiran H. Lathabai
G-20 refers to an organization of 20 member countries/ units founded in 1999. Over the years, it has become an important political and economic platform to ad-dress various developmental concerns. The member countries collectively represent about 75% of global population, 85% of the global gross domestic product and 75% of the global trade. Given that the G-20 has 88.8% of the world’s researchers and accounts for 93.2% of research spending and 90.6% of scientific publica-tions at the global level, it would be interesting to analyse the international research collaboration patterns among the G-20 countries, including assessment of benefits and impact of such collaboration. The present study utilizes the publication data of these countries to estimate their collaborative research levels. A positive growth is obser-ved in research collaboration along with a positive cor-relation with the national expenditure on R&D. Some countries (e.g. Saudi Arabia and South Africa) are found to have benefitted significantly from such colla-borative research, as observed by a boost in productivity and citations. The results comprehensively account for international research collaboration among the G-20 countries. © 2024, Indian Academy of Sciences. All rights reserved.
Mapping the research output from Indian states
(Indian Academy of Sciences, 2023) Anurag Kanaujia; Abhirup Nandy; Prashasti Singh; Vivek Kumar Singh
India is now one of the major knowledge producers in the world, ranking among the top five coun-tries in total research output. The research output is contributed by various institutions located in different states and regions of the country. There are, however, no existing studies on the amount of research output contributed by each state. Therefore, in this study, we undertook a territorial mapping of research output from India at the level of different states. Research output data for the country for the last 20 years (2001–20) were obtained from the Web of Science database, and publications were tagged to different states based on the location of the affiliating institution of the publication. The results show that Tamil Nadu, Maharashtra, Delhi, West Bengal, Karnataka, and Uttar Pradesh are among the top contributors, in that order. Almost all major states showed an increase in absolute re-search output during 2001–20. However, in relative terms, Tamil Nadu, Bihar and Punjab showed interesting growth patterns. Chandigarh and Puducherry had high total publications/gross state domestic product values. The analytical results of this study present useful quantitative measures of the research contributions of different states in India. Some probable reasons for the observed pat-terns and certain policy suggestions are also discussed in this study. © 2023, Current Science. All Rights Reserved.
Open access availability patterns of Indian research publications during the last two decades
(Indian Academy of Sciences, 2024) Vivek Kumar Singh; Prashasti Singh; Anurag Kanaujia
In the current era of knowledge-based economies and societies, access to knowledge and scientific advances is a key requirement for the scientific, technological and economic development of a country. Scientific research outcomes are often considered by many as a public good and hence it is often advocated that they should be openly and freely accessible to the scientific community and the wider society. To fulfil such aspirations, there have been several initiatives towards open access (OA), both globally and at national levels, including many important declarations and policies. India has also taken several initiatives over the last two decades to promote OA to scientific research outcomes, including putting in place mandates that require that all public funded research should be openly accessible. This article presents a quantitative analysis to understand how much of Indian research output from 2001 to 2020 is openly accessible, which in turn presents a reflection on the effectiveness of the various OA initiatives. The major OA routes adopted by Indian researchers and the subject-specific OA availability patterns are identified. Finally, the OA availability levels for funded and non-funded Indian research publications are determined. The results indicate growth in OA availability of Indian research papers, with green and gold OA routes being the preferred ones. A higher OA availability is observed in case of funded research publications. The article concludes with a brief discussion on the major patterns observed and their policy implications. © (2024), (Indian Academy of Sciences). All Rights Reserved.
Patterns in the Growth and Thematic Evolution of Artificial Intelligence Research: A Study Using Bradford Distribution of Productivity and Path Analysis
(Wiley-Hindawi, 2024) Solanki Gupta; Anurag Kanaujia; Hiran H. Lathabai; Vivek Kumar Singh; Philipp Mayr
Artificial intelligence (AI) has emerged as a transformative technology with applications across multiple domains. The corpus of work related to the field of AI has grown significantly in volume as well as in terms of the application of AI in wider domains. However, given the wide application of AI in diverse areas, the measurement and characterization of the span of AI research is often a challenging task. Bibliometrics is a well-established method in the scientific community to measure the patterns and impact of research. It however has also received significant criticism for its overemphasis on the macroscopic picture and the inability to provide a deep understanding of growth and thematic structure of knowledge-creation activities. Therefore, this study presents a framework comprising of two techniques, namely, Bradford's distribution and path analysis to characterize the growth and thematic evolution of the discipline. While the Bradford distribution provides a macroscopic view of artificial intelligence research in terms of patterns of growth, the path analysis method presents a microscopic analysis of the thematic evolutionary trajectories, thereby completing the analytical framework. Detailed insights into the evolution of each subdomain are drawn, major techniques employed in various AI applications are identified, and some relevant implications are discussed to demonstrate the usefulness of the analyses. © 2024 Solanki Gupta et al.
Research contribution of major centrally funded institution systems of India
(Indian Academy of Sciences, 2022) Anurag Kanaujia; Prashasti Singh; Abhirup Nandy; Vivek Kumar Singh
India is now one of the major knowledge producers in the world, ranking among the top five countries in total research output. The institutional set-up for research and development (R&D) in the country comprises a diverse set, including universities, Government departments, research laboratories and private sector institutions. It may be noted that more than 45% share of India’s gross expenditure on R&D comes from the Central Government. In this context, this article explores the quantum of research contribution of centrally funded institutions and institution systems in India. The volume, propor-tionate share and growth patterns of research publications from the major centrally funded institu-tions, organized in 16 groups, are analysed. These institutions account for 67.54% of the country’s research output from 2001 to 2020. The research output of the centrally funded institutions in India has increased steadily since 2001, with a good value for compounded annual growth rate. This article presents noteworthy insights into the scientific research production of India that may be useful to policymakers, researchers and science practitioners. It presents a case for increased activity by the state governments and private sector to further the cause of sustainable and inclusive R&D in the country. © 2022, Current Science. All Rights Reserved.
Research on Sustainable Development Goals: How has Indian Scientific Community Responded?
(National Institute of Science Communication and Policy Research, 2022) Aakash Singh; Anurag Kanaujia; Vivek Kumar Singh
Since the adoption of Sustainable Development Goals (SDGs) in 2015, various countries across the world have started programmes to achieve the relevant targets under SDGs. The advancements in research and development play a crucial role in achieving these targets. Motivated by this a few studies have tried to map the research publications with their relevance to specific SDGs. However, there are no existing detailed studies with reference to India. Therefore, this article attempts to measure the research activities on SDGs in India. It utilises standard bibliometrics approach and textual analysis of data collected from Dimensions database for a five-year period (2016–2020). The results show a positive response from the Indian research community towards the SDGs. About 12 percent of the total research output from India is found directly related to SDGs. The three SDGs namely SDG 3 (Good Health and Well-being), SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Change) have received most attention from the Indian research community. Technical subjects such as, Engineering, Medical and Health Sciences, and Chemical Sciences are the main contributors. The major contributing institutions, authors and journals are identified. © 2022 Scientific Publishers. All rights reserved.
Response:
(Indian Academy of Sciences, 2024) Vivek Kumar Singh; Anurag Kanaujia; Prashasti Singh; Jyoti Dua; Hiran H. Lathabai
[No abstract available]
Social Media for Science-Science and Science-Society Connects: Assessing the Readiness in Indian Context through an Analysis of Social Media Visibility of Research Papers
(Phcog.Net, 2024) Vivek Kumar Singh; Mousumi Karmakar; Anurag Kanaujia; Sujit Bhattacharya
The technological advancements and emergence of new kinds of communication mediums, especially social media and networks, have brought an era of unprecedented connectivity, which can be leveraged for better science communication. This paper explores social media activity around Indian research papers with the objective of evaluating if the quantum of activity is sufficient enough to indicate that social media can be an effective medium of science communication in India. In the absence of any existing survey of social media usage by scientists in India, the paper uses altmetrics as a proxy measure to capture; science communication activities around two major classes, namely, science-science connect and science-society connect. Results indicate that social media activity around Indian research papers is relatively low as compared to the developed countries and also the world average. There is a higher activity in science-science connect (Mendeley) whereas science-society connect is less pronounced (other social media and news). The paper argues that there is a need to expose Indian research community to the opportunities that social media presents and that an appropriate use can be helpful for improved science-science and science-society connects. © 2024 Phcog.Net. All rights reserved.
Tracing scientific and technological development in genetically modified crops
(Springer Science and Business Media Deutschland GmbH, 2024) Anurag Kanaujia; Solanki Gupta
Genetically Modified (GM) Organisms have been used in various domains since their introduction in the 1980s. According to ISAAA data, the use of GM crops in agriculture has also increased significantly in the past 30 years. However, even after 3 decades of commercialisation, GM crops are still surrounded with controversies with different countries adopting varying approaches to their introduction in the consumer markets, owing to different stances of various stakeholders. Motivated by this multitude of opinions, and absence of knowledge mapping, this study has undertaken scientometric analysis of the publication (Web of Science) and patent (Lens.org) data about genetically modified technology use in agriculture to explore the changing knowledge patterns and technological advancements in the area. It explores both scientific and technological perspectives regarding the use of Genetically Modified Crops, by using publication as well as patent data. The findings of this study highlight the major domains of research, technology development, and leading actors in the ecosystem. These findings can be helpful in taking effective policy decisions, and furthering the research activities. It presents a composite picture using both publications and patent data. Further, it will be of utility to explore the other technologies which are replacing GM technology in agriculture in future studies. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.