1,720,966 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Structural Topic Modeling for Uncovering Ai's Impact on Circular Business Models: a Machine Learning Lens
No full textThis study provides a review of literature on the role of Artificial intelligence (AI) in circular business models (CBMs), examining the intellectual structure and outlining prominent research themes. The study utilizes abstracts of 380 Scopus indexed documents published between 2016-2024. Significance of research in AI based circular business model were evaluated using a variety of bibliometric measures, such as publication trends, authorship patterns, journals, and the prominence of academic institutions. In addition, a structural topic modelling (STM) approach was used to extract and examine the literature's overarching themes. STM reveals following eight themes: Sustainable product based CBMs, Resource utilization for AI led CBMs, Integration of digital technologies with AI led CBMs, Consumer behavior for AI led CBMs, AI led CBMs for innovations, Performance of AI driven CBMs, Enablers and barriers of AI led CBMs, and Environmental and social impacts of AI led CBMs. The findings could assist scholars, practitioners, and policymakers to gain insights into current state of circular business models and suggests possible directions for future research
Understanding Application of AI Technologies in Food Processing Industry: A Machine Learning Approach
No full textThis study conducts a literature review on artificial intelligence applications in the food processing industry (FPI), investigating its intellectual structure and highlighting critical research themes and emerging trends. Analyzing 490 Scopus indexed articles (1979-2025), the study systematically assessed through a multifaceted analytical framework encompassing metrics such as temporal publication trends, authorship dynamics, journal contributions, and the influence of academic institutions. Furthermore, a structural topic modeling (STM) methodology was employed which uncovers following eight research themes: leveraging AI, blockchain, and robotics for supply chain transformation; AI adoption for increasing performance among SMEs in emerging economies; AI-driven innovations in biofilm and microbial management; use of AI for sustainable process optimization in the food industry; AI-driven quality assurance in food products; predictive modeling and neural networks in food processing management; health risks and consumer behavior in agriculture and food sectors; and managing food safety and quality for consumer health and trust using AI. The findings provide critical insights for researchers, industry practitioners, and policymakers, highlighting the transformative role of AI in FPI and offering directions for future research and practical implementation
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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