With the ever-growing accessibility of case law online, it has become challenging to manually identify case law relevant to one\'s legal issue. In the Netherlands, the planned increase in the online publication of case law is expected to exacerbate this challenge. In this paper, we tried to predict whether court decisions are cited by other courts or not after being published, thus in a way distinguishing between more and less authoritative cases. This type of system may be used to process the large amounts of available data by filtering out large quantities of non-authoritative decisions, thus helping legal practitioners and scholars to find relevant decisions more easily, and drastically reducing the time spent on preparation and analysis. For the Dutch Supreme Court, the match between our prediction and the actual data was relatively strong (with a Matthews Correlation Coefficient of 0.60). Our results were less successful for the Council of State and the district courts (MCC scores of 0.26 and 0.17, relatively). We also attempted to identify the most informative characteristics of a decision. We found that a completely explainable model, consisting only of handcrafted metadata features, performs almost as well as a less well-explainable system based on all text of the decision.

UNASSIGNED: The aim of this study was to identify and appraise the bibliometric properties of top 100 most-cited articles on regenerative periodontics surgery (RPS).
UNASSIGNED: The bibliometric research technique was conducted using a dataset comprising the 100 highly cited articles obtained from Elsevier\'s Scopus database on RPS. Information regarding the growth of articles by year, number of citations, citations per year, study design, study field, modalities, journals, authors, and countries were extracted for each article. Microsoft Excel (v.16) was utilized for data evaluation and tabulation. These articles on RPS were published over a span of 45 years, from 1975 to 2019, with citation metrics ranging from 144 to 820. Out of the 422 participating authors, 82% contributed to a single article.
UNASSIGNED: The 100 most cited articles on RPS were published in 45 years from 1975 to 2019 and number of citations ranged from 144 to 820. Out of the 422 participating authors, 82% contributed in a single article.. The study design with the highest number of cited articles was laboratory/animal studies. Others/not specified was the preferred modality, followed by infrabony modality. The Journal of Periodontology published about one-fourth of the articles, with W. V. Giannobile emerging as the most productive author. Among the 100 most-cited articles on RPS, authors from 25 different countries contributed, with the United States producing half of the articles (n = 51). Bibliometric investigation revealed that the most cited papers published before 2000 had higher citation counts due to their longer period of exposure. The ratio of authors per article increased after the year 2000.
UNASSIGNED: Infrabony emerges as a trending topic in RPS, with laboratory/animal studies, clinical trials, and literature reviews being the most frequently employed study designs.

UNASSIGNED: Recurrent aphthous stomatitis (RAS) is a common oral mucosal disease. Despite a variety of scientific articles have been available till date, merely a few scientometric analyses have been systematically carried out in this field. The objective of this study was to recognize the hotspots and research trends related to RAS via bibliometric approach.
UNASSIGNED: The Elsevier\'s Scopus database was searched to retrieve qualified literature through an advanced search strategy on 9 Feb 2023. The basic information was collected as following: article type, publication year, journals, impact factor, the count of citations, citation density, keywords, authors, contributing institutions and country.
UNASSIGNED: A list of 986 publications were identified from 1933 to 2022, and the number of citations for each paper varied from 0 to 283. A steady increasing trend in the number of documents could be observed each decade with the summit in 2010s. Controlled study (n = 334) and major clinical study (n = 192) were the most common types of study design. Scully C (n = 26) was identified as the most productive author. United States (n = 166) and Turkey (n = 101) top the list of dedicating countries.
UNASSIGNED: This report would offer profound insight into the current status of RAS research and serve as a reference source for anyone planning to enhance the quality of future work.

Scientometric studies play a crucial role in quantitatively assessing the impact and quantity of scholarly articles, providing a basis for policy-making and informed decision-making processes. Given the ongoing transformation within the Saudi scientific community across various domains, it is essential to establish a baseline for high-quality endodontic research. A comprehensive search in the PubMed database, using the keywords [\"Saudi\" OR \"Saudi Arabia\"] within the time frame of 2014 to 2021. The screening process involved evaluating the title and abstract of each article, with only those classified as endodontic articles included for analysis in this study. The analysis included factors such as the type of paper, the authors, the citations, and the year of publication. Featuring one or more authors affiliated with a Saudi dental institution, 70 papers were specifically categorized as endodontic papers. The most prevalent type of paper was case reports, accounting for 27 articles (28%), followed by literature reviews with 13 articles (18%). The number of authors ranged from one to ten, with a general trend of increasing publication rates over the years. In terms of citations, only four papers received more than 20 citations, while the majority of papers garnered between one and ten citations. Most articles in the field of endodontics exhibited low-level evidence. Therefore, it is recommended that the quality of research output and evidence be enhanced.

The development of artificial intelligence (AI) has revolutionised the medical system, empowering healthcare professionals to analyse complex nonlinear big data and identify hidden patterns, facilitating well-informed decisions. Over the last decade, there has been a notable trend of research in AI, machine learning (ML), and their associated algorithms in health and medical systems. These approaches have transformed the healthcare system, enhancing efficiency, accuracy, personalised treatment, and decision-making. Recognising the importance and growing trend of research in the topic area, this paper presents a bibliometric analysis of AI in health and medical systems. The paper utilises the Web of Science (WoS) Core Collection database, considering documents published in the topic area for the last four decades. A total of 64,063 papers were identified from 1983 to 2022. The paper evaluates the bibliometric data from various perspectives, such as annual papers published, annual citations, highly cited papers, and most productive institutions, and countries. The paper visualises the relationship among various scientific actors by presenting bibliographic coupling and co-occurrences of the author\'s keywords. The analysis indicates that the field began its significant growth in the late 1970s and early 1980s, with significant growth since 2019. The most influential institutions are in the USA and China. The study also reveals that the scientific community\'s top keywords include \'ML\', \'Deep Learning\', and \'Artificial Intelligence\'.

Recent evidence from citation analysis (Mitra et al., World Dev 135:105076, 2020) suggests that research published in top economic journals is becoming more influential in the development discourse. In this article, we argue that this trend has nontrivial implications for the development discourse on trade in general. Based on an analysis of more than 400 papers published in high-impact economic journals between 1997 and 2017, we highlight three core trade narratives that stand for different biases apparent in the elite economic discourse on trade: \"trade championing\", \"Ignorance in a world full of nails\" and \"microfounding trade benefits\". Further insights derived from citation analysis of five development studies journals and a case-study-oriented approach that focusses on the reception of this particular trade debate in World Development suggests that these biased trade narratives are effectively transmitted into development research.
UNASSIGNED: The online version contains supplementary material available at 10.1057/s41287-023-00583-z.
Des preuves récentes issues d\'analyses de citation [Mitra, S., Palmer, M, Vuon, V. (2020). Développement et interdisciplinarité : une analyse des citations. World Development, 135, 105076] suggèrent que les travaux de recherche publiés dans les meilleures revues économiques deviennent de plus en plus influents dans le récit du développement. Dans cet article, nous soutenons que cette tendance a des implications non négligeables pour le récit du développement relatif au commerce en général. Sur la base d\'une analyse de plus de 400 articles publiés dans des revues économiques à fort impact entre 1997 et 2017, nous mettons en évidence trois récits commerciaux fondamentaux qui représentent différents biais apparents dans le discours économique de l\'élite sur le commerce : « promouvoir le commerce», « L’ignorance dans un monde plein de clous » et « avantages commerciaux de la micro-fondation ». D\'autres informations tirées de l\'analyse des citations de cinq revues d\'études sur le développement et d\'une approche axée sur les études de cas qui se concentre sur la réception de ce débat commercial spécifique dans World Development suggèrent que ces récits commerciaux biaisés sont effectivement transmis dans la recherche sur le développement.

Objective: To perform a bibliometric analysis in the field of biomarkers for systemic lupus erythematosus. Methods: Publications were from Web of Science. Microsoft Excel, VOSviewer, Science Mapping Analysis software Tool, CiteSpace and Tableau were used for analysis. Results: A total of 1112 publications were identified; 1503 institutions from 69 countries contributed, with the highest outputs from China and Karolinska University Hospital. Petri had a tremendous impact. Academic collaborations were localized. Lupus and Arthritis & Rheumatology were the top two journals in terms of publications and citations. Lymphocyte, autoantibody, type I interferon, genetic polymorphisms and urinary biomarkers have been high-frequency themes. Conclusion: Global collaboration needs to be further strengthened. Immune cell, cytokine and gene-level research as a whole and noninvasive tests are the future trends.
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In this paper, we consider sentences that contain multiple in-text references (MIR) and their position in the rhetorical structure of articles. We carry out the analysis of MIR in a large-scale dataset of about 80,000 research articles published by the Public Library of Science in 7 journals. We analyze two major characteristics of MIR: their positions in the IMRaD structure of articles and the number of in-text references that make up a MIR in the different journals. We show that MIR are rather frequent in all sections of the rhetorical structure. In the Introduction section, sentences containing MIR account for more than half of the sentences with references. We examine the syntactic patterns that are most used in the contexts of both multiple and single in-text references and show that they are composed, for the most part, of noun groups. We point out the specificity of the Methods section in this respect.

The announcement of the UN Sustainable Development Goals (SDGs) provided a fresh direction to sustainability research that spans different disciplines. Consequently, scholarly databases made available the mapping of research publications to different SDGs, unleashing many opportunities for analysis. In this work, the top 100 Highly Cited Sustainability Researchers (HCSRs) and information related to them, such as the institutions they belong to, the type of these institutions, the geographical diversity of these researchers, and gender representation patterns, are analyzed. Also, from their publications, their publication pattern, including (i) the least and most researched SDGs, (ii) their Open Access publishing pattern, (iii) their collaboration pattern (iv) the pattern of their research impact, are analyzed. The most sought thematic areas of their research, top journals in which they publish, important research categories handled by these journals, etc., are also investigated. The most significant contribution of these researchers and their recent contributions are also discussed. The data indicates a significant disparity in research focus among the top 100 HCSRs, with most concentrating on \"Good Health and Well Being,\" \"Zero Hunger,\" and \"Quality Education,\" while notably fewer researchers focus on \"Decent Work and Economic Growth\" and \"No Poverty,\" underscoring the need for a more balanced research agenda across all SDGs. The study reveals that the United States, China, and the United Kingdom are the leading contributors to the top 100 HCSRs, suggesting that these countries are predominant in global sustainability research output, while nations like Iran and Saudi Arabia also make notable, albeit smaller, contributions. The institutional affiliations of HCSRs show a significant imbalance, with only 16 from private institutions compared to 84 from public ones. Specifically, it shows that out of the top 100 researchers, 93 are men, while only 7 are women. The analysis of authorship in publications by HCSRs reveals a tendency towards middle and last author positions, underscoring their collaborative and leadership roles within the research community. All these analyses can inform academia, industry, and policymakers about the most significant developments in research regarding SDGs.

Hydrocephalus represents a significant burden of disease, with more than 383,000 new cases annually worldwide. When the magnitude of this condition is considered, a centralized archive of pertinent literature is of great clinical value. From a neurosurgical standpoint, hydrocephalus is one of the most frequently treated conditions in the field. The focus of this study was to identify the top 100 journal articles specific to hydrocephalus using bibliometric analysis. Using the Journal of Citation Report database, 10 journals were identified. The Web of Science Core Collection was then searched using each journal name and the search term \"hydrocephalus.\" The results were ordered by \"Times Cited\" and searched by the number of citations. The database contained journal articles from 1976 to 2021, and the following variables were collected for analysis: journal, article type, year of publication, and the number of citations. Journal articles were excluded if they had no relation to hydrocephalus, mostly involved basic science research, or included animal studies. Ten journals were identified using the above criteria, and a catalog of the 100 most cited publications in the hydrocephalus literature was created. Articles were arranged from highest to lowest citation number, with further classification by journal, article type, and publication year. Of the 100 articles referenced, 38 were review articles, 24 were original articles, 15 were comparative studies, 11 were clinical trials, six were multi-center studies, three were cross-sectional, and three were case reports with reviews. Articles were also sorted by study type and further stratified by etiology. If the etiology was not specified, studies were instead subcategorized by treatment type. Etiologies such as aqueductal stenosis, tumors, and other obstructive causes of hydrocephalus were classified as obstructive (n=6). Communicating (n=15) included idiopathic, normal pressure hydrocephalus, and other non-obstructive etiologies. The category \"other\" (n=3) was assigned to studies that included etiologies, populations, and/or treatments that did not fit into the classifications previously outlined. Through our analysis of highly cited journal articles focusing on different etiologies and the surgical or medical management of hydrocephalus, we hope to elucidate important trends. By establishing the 100 most cited hydrocephalus articles, we contribute one source, stratified for efficient referencing, to facilitate clinical care and future research on hydrocephalus.