Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis

Bornmann, Lutz; Haunschild, Robin; Hug, Sven E.

doi:10.1007/s11192-017-2591-8

Cited by 110 publications

(75 citation statements)

References 29 publications

(43 reference statements)

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“…Elsevier, Springer, John Wiley & Sons, PLOS, PubMed Central, and Microsoft Academic are among the publishers/databases that provide XML-formatted full texts (Bornmann et al, 2018;Hu et al, 2015;Small et al, 2017).…”

Section: Technical Developments and New Sources Of Citation Studiesmentioning

confidence: 99%

“…Microsoft Academic is another valuable source of citation data for both papers and books . It is a potential database for conducting citation context studies, because it has made it possible to download citation contexts that are already segmented (Bornmann et al, 2018).…”

Section: Technical Developments and New Sources Of Citation Studiesmentioning

confidence: 99%

“…Analyzing the context of citations can be used to determine the extent and nature of the influence of a work on subsequent publications (Anderson, 2006). Citation context has been operationalized in several ways, including the position of the citation within the citing text, the semantics surrounding the reference (Bertin, Atanassova, Sugimoto, & Lariviere, 2016), and the words around citations (Bornmann, Haunschild, & Hug, 2018). Citation content analysis has also been used by some studies to determine the functions of citations.…”

Section: Introductionmentioning

confidence: 99%

“…Netowork analysis has been used by other researhcers too. For example,Bornmann et al (2018) used several keyword co-occurrence network analyses to study the impact Eugene Garfield had on subsequent publications.Åström (2014) analyzed 6853 papers (obtained from WoS) citing Gérard Genette's books and 234 papers citing the "paratext" concept in these books. Most citing papers in both cases came from the area of "literature and language"…”

mentioning

confidence: 99%

“…Bornmann et al (2018) created a keyword co-occurrence network based on the citation context keywords of 59 publications by Eugene Garfield -the recently deceased pioneer of modern citation analysis. The title and abstract information of these papers and their citing papers were obtained from WoS.…”

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confidence: 99%

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What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018

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The purpose of this paper is to update the review of Bornmann and Daniel (2008) presenting a narrative review of studies on citations in scientific documents. The current review covers 41 studies published between 2006 and 2018. Bornmann and Daniel (2008) focused on earlier years. The current review describes the (new) studies on citation content and context analyses as well as the studies that explore the citation motivation of scholars through surveys or interviews. One focus in this paper is on the technical developments in the last decade, such as the richer meta-data available and machine-readable formats of scientific papers. These developments have resulted in citation context analyses of large datasets in comprehensive studies (which was not possible previously). Many studies in recent years have used computational and machine learning techniques to determine citation functions and polarities, some of which have attempted to overcome the methodological weaknesses of previous studies. The automated recognition of citation functions seems to have the potential to greatly enhance citation indices and information retrieval capabilities. Our review of the empirical studies demonstrates that a paper may be cited for very different scientific and non-scientific reasons. This result accords with the finding by Bornmann and Daniel (2008). The current review also shows that to better understand the relationship between citing and cited documents, a variety of features should be analyzed, primarily the citation context, the semantics and linguistic patterns in citations, citation locations within the citing document, and citation polarity (negative, neutral, positive).

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Section: Technical Developments and New Sources Of Citation Studiesmentioning

confidence: 99%

Section: Technical Developments and New Sources Of Citation Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018

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Carbon accounting and integrated reporting for net‐zero business models towards sustainable development: A systematic literature review

Di Vaio,

Zaffar,

Chhabra

et al. 2024

Bus Strat Env

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This study highlights the main concerns regarding firms' carbon accounting and decarbonization practices. Under institutional, legitimacy and stakeholder theories, this study analyses the linkages between carbon accounting outputs and integrated reporting (IR), as well as between disclosure assurance systems in the transition towards net‐zero business models (n‐ZBMs). This study emphasizes the awareness of accounting tools to be considered environmental and social measures due to decarbonization practices. This study developed a systematic literature review (SLR) of 433 English articles published in Scopus database and Google Scholar between the years 1990 and 2024. It is a consolidated methodological approach in the ‘sustainability accounting’ research field to fill the existing gaps that justify this study. The results of this study highlight that IR and carbon accounting awareness enhance firms' performance and have positive social and environmental impacts with the adoption of decarbonization practices towards n‐ZBMs through an improved understanding of stakeholders and regulatory pressures. This study is the first to explore the relationship between carbon accounting awareness and IR about the decarbonization practices, as well as the role of assurance in the transition for n‐ZBMs. This study tries to move from the concept of legitimacy of the decarbonization practices that firms aim to achieve through sustainable disclosure to the legitimacy of business models towards net‐zero emissions.

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Mining the Context of Citations in Scientific Publications

Hassan

Iqbal

Imran

et al. 2018

Lecture Notes in Computer Science

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Recent advancements in information retrieval systems significantly rely on the context-based features and semantic matching techniques to provide relevant information to users from ever-growing digital libraries. Scientific communities seek to understand the implications of research, its importance and its applicability for future research directions. To mine this information, absolute citations merely fail to measure the importance of scientific literature, as a citation may have a specific context in full text. Thus, a comprehensive contextual understanding of cited references is necessary. For this purpose, numerous techniques have been proposed that tap the power of artificial intelligence models to detect important or incidental (non-important) citations in full text scholarly publications. In this paper, we compare and build upon on four state-of-the-art models that detect important citations using 450 manually annotated citations by experts-randomly selected from 20,527 papers from the Association for Computational Linguistics corpus. Of the total 64 unique features proposed by the four selected state-of-the-art models, the top 29 were chosen using the Extra-Trees classifier. These were then fed it to our supervised machine learning based models: Random Forest (RF) and Support Vector Machine. The RF model outperforms existing selected systems by more than 10%, with 89% precision-recall curve. Finally, we qualitatively assessed important and non-important citations by employing and self-organizing maps. Overall, our research work supports information retrieval algorithms that detect and fetch scientific articles on the basis of both qualitative and quantitative indices in scholarly big data.

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Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis

Cited by 110 publications

References 29 publications

What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018

What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018

Carbon accounting and integrated reporting for net‐zero business models towards sustainable development: A systematic literature review

Mining the Context of Citations in Scientific Publications

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