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The purpose of this study is to evaluate the context and background of citations received by the top 100 highly cited articles published in the top five Emerald journals from 2014 to 2023. Furthermore, it proposes a novel method for tracing scholarly influence through contextual smart citation analysis using Scite.

This study used bibliometric techniques, as the entire analysis was based on the bibliographical records of publications. The top five journals published by Emerald were identified based on CiteScore, and the top 100 highly cited articles were selected. Later, the citing documents associated with the top 100 articles were extracted from Scite, an emerging platform that uses artificial intelligence (AI) and natural language processing (NLP) to provide a comprehensive understanding of citations. Collected data were processed and analyzed using MS Excel, Google Sheets, and Tableau.

The study found that most of the citing documents were published by Emerald and the journal Supply Chain Management: An International Journal was the leading journal where the highest number of citing documents were published. A total of 5,995 citations were concentrated in the “Introduction/Conceptual framework/Theoretical background” sections followed by “Literature review” (2,224), “Method/Tools/Techniques” (988), “Analysis/Result/Discussion” (2,478) and “Conclusion/Future Research Direction” (269) sections. The study also found that the most numbers of citations were “mentioning cites”.

The study explored the context and background of citations to scholarly articles using Scite and introduced Scite as an innovative tool in citation analysis, providing a promising avenue for future research in assessing academic impacts.

Adopting and implementing robotic technology applications in the library is a significant technological up-gradation today. The purpose of this study was to evaluate selected literature focused mainly on robotics technology applications in the field of libraries and to assess the online social attention to research publications.

The study employed Scientometric and altmetric tools to evaluate the research publications. The bibliographic data of research publications were downloaded from Scopus database and scrutinized one by one and 71 articles were selected which mainly focused on robotic technology in libraries. Altmetric data were collected from the Dimensions.ai database. The analysis was performed using MS Excel, Tableau, Biblioshiny, VOSviewer and SPSS software.

Research on robotic technology in the field of libraries has been experiencing a gradual increase, marked by an annual growth rate of 12.93%. The United States has prominently led the way as the most active participant and collaborator in this advancement. Among the various journals, Library Hi Tech has notably stood out as a significant contributor to this field. However, the research articles have garnered limited social attention and impact. Furthermore, the patterns of authorship collaboration have demonstrated relatively modest levels within the field, and a weak correlation has been observed between the social attention received and the Scopus citation metrics of the publications.

The research needs to be disseminated more through various social media platforms to increase its visibility. Sharing research information through social media can bridge the gap between academia and society. The findings of this study can serve as a valuable reference for researchers and policymakers.

This study presents a Scientometric analysis of the selected published literature on robotics technology applications in the field of libraries, highlighting the progress and development of worldwide research in this area.

The purpose of this study is to comprehensively analyze the research article retractions in social sciences over the past decade (2014–2023).

The study used scientometric methods to evaluate the prevalence, patterns and factors contributing to social sciences article retractions. Bibliographic data of retracted articles were collected from the Retraction Watch Database under an agreement signed with the database. Further, citations of the retracted articles were collected from Scopus and Google Scholar. The analysis encompasses performance assessment and citation-based analysis to reveal the trend of retraction and scrutinize the impact of retracted articles.

Over the past decade, article retractions have shown dynamic trends, with notable fluctuations in recent years. Further, investigating the time taken for article retraction reveals the urgency of addressing issues identified soon after publication. Scientific misconduct and publication-related concerns emerge as primary factors leading to retractions. Countries such as Russia, the USA, China and publishers such as Elsevier and Taylor and Francis led in the retractions of social science articles. A significant portion of retracted works had garnered academic attention prior to retraction and even after retraction.

This study can contribute to a better understanding among scholars and stakeholders of the trends and reasons for retractions of research articles in the social sciences.