Article
Computer Science, Interdisciplinary Applications
Ephrance Abu Ujum, Sameer Kumar, Kuru Ratnavelu, Gangan Prathap
Summary: Journal impact indicators are useful tools to determine the relative importance of journals within a discipline, and can be analyzed using graph-theoretic approaches. The Power-Weakness paradigm is applied to find journals that have balanced inbound and outbound citation flows in a citation network, reflecting their influence and susceptibility to influence by other journals. Two journal systems in Library and Information Sciences field are studied based on citation data from 2012 and 2018.
Editorial Material
Chemistry, Multidisciplinary
Neville Compton, Theresa Kueckmann, Frank Maass, Xin Su, Suzanne Tobey, Nathalie Weickgenannt
Summary: After careful reflection, the Angewandte Chemie Council and the Executive Committee have announced a redefined International Advisory Board (IAB) to transform the journal into a more inclusive platform for excellent science. This completes the new governance structure of Angewandte Chemie.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2021)
Article
Computer Science, Interdisciplinary Applications
Fang Xu, Guiyan Ou, Tingcan Ma, Xianwen Wang
Summary: The study shows that preprints subsequently published in journals perform better in altmetrics, with a positive correlation between preprint altmetrics performance and journal impact factor. There is also a positive correlation between the performance of preprints and their corresponding journal papers, confirming consistency in evaluation by the academic community and general public attention.
JOURNAL OF INFORMETRICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Yuhao Zhou, Ruijie Wang, An Zeng
Summary: Predicting the future career of individual scientists is crucial for recruitment, promotion, and grant management in scientific research. Existing studies primarily focus on macro level performance, while this research tackles the micro level tasks of predicting impact and publication dates of future papers. A deep learning method is proposed and outperforms the state-of-the-art in this area.
Article
Computer Science, Interdisciplinary Applications
Danie Torres-Salinas, Pilar Valderrama-Baca, Wenceslao Arroyo-Machado
Summary: This article introduces the new indicator JCI in the latest version of JCR published by Clarivate and compares it with JIF. The results show that JCI has a high correlation and similar distribution with JIF, and this correlation remains consistent across different disciplines. Therefore, JCI serves as a complement to JIF and an alternative solution for addressing the issues of JCR.
JOURNAL OF INFORMETRICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Xiaolong Guo, Xiaoxiao Li, Yugang Yu
Summary: This paper proposes a Publication Delay Adjusted Impact Factor (PDAIF) to reduce the negative effect on the quality of impact factor determination by taking publication delay into consideration. The research shows that PDAIF values are, on average, over 50% higher than JIF results and have a high consistency with reputation-based journal rankings. Moreover, for journals with longer publication delays, PDAIF will bring a greater impact factor increase.
JOURNAL OF INFORMETRICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Yangping Zhou
Summary: The study on academic publisher citation and self-citation reveals a skewed pattern in citation behavior, with correlation observed between various types of citations, such as publisher citation and self-citation. The analysis also highlights the impact of factors such as size dependence and independence on the relationship between different components of citation behavior.
Article
Information Science & Library Science
Ali Gazni, Fereshteh Didegah
Summary: This study on journal self-citations found that over time, while overall citations have increased, the percentage of journal self-citations has decreased. High-impact journals tend to self-cite recent publications more and also cite recently published content more frequently.
LEARNED PUBLISHING
(2021)
Article
Computer Science, Interdisciplinary Applications
Juan Gorraiz, Ursula Ulrych, Wolfgang Glanzel, Wenceslao Arroyo-Machado, Daniel Torres-Salinas
Summary: This study aims to analyze the extent to which the Journal Impact Factor (JIF) reflects the number of excellent publications in a journal. By introducing two percentile-based indicators, the excellence contribution at journal level is measured for twenty different JCR subject categories. The study shows that the journal excellence content is not fully reflected in the JIF measure, and the effect of multidisciplinary journals on the excellence contribution varies across different subject categories. The introduced excellence indicators are robust and provide a more complete picture of the citation impact of a journal.
Article
Computer Science, Interdisciplinary Applications
Tobias Kiesslich, Marlena Beyreis, Georg Zimmermann, Andreas Traweger
Summary: Skewed citation distribution is a major limitation of the Journal Impact Factor (JIF), with highly-cited articles serving as outliers. Replacing mean citation values with the median resulted in significantly lower numerical values, indicating a more accurate representation of the citation distribution. The study provides comprehensive insights into the prevalence, extent, and consequences of citation inequality in medical and all-category journals listed in the JCR.
Article
Cardiac & Cardiovascular Systems
Alejandra Castro-Varela, Hartzell Schaff
Summary: After analyzing the characteristics of top-cited articles in JTCVS over the past 6 decades, it was found that the majority of the most-cited papers focused on topics in adult cardiac surgery and general thoracic surgery. These articles were presented mainly at the Annual Meeting of the American Association for Thoracic Surgery. The use of citations as a measure of impact has limitations, and alternative metrics may provide a more equitable evaluation.
JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY
(2023)
Article
Computer Science, Interdisciplinary Applications
Linhong Xu, Kun Ding, Yuan Lin
Summary: This paper examines the citations of papers in the field of SVM and finds that negative citations do not reduce the impact of the cited papers. Instead, papers with a certain ratio of negative citations tend to have a higher impact. Negative citations also exhibit different characteristics at different stages of SVM development, and they contribute to the improvement of this technology.
Article
Multidisciplinary Sciences
Michael R. Dougherty, Zachary Horne
Summary: This study used a large dataset to show that citation counts and impact factors are weak and sometimes negatively related predictors of research quality. This suggests that these metrics may not be highly accurate or useful in evaluating scientists and their research.
ROYAL SOCIETY OPEN SCIENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
Gabriel-Alexandru Viiu, Mihai Paunescu
Summary: Monetary rewards based on per-publication are an important policy instrument to stimulate scientific research, but some reward schemes exhibit inconsistency. The study found that while PR3 articles have a uniform citation impact within their journals, over two thirds of the rewarded papers are below the world average in their field on a global scale.
Article
Computer Science, Information Systems
Stewart Manley
Summary: This article explores how letters to the editor can enhance publishing metrics for journals and authors, and examines letters published in elite journals since 2015. Initial findings reveal potential anomalies in the use of letters and unusual self-citation patterns. The article suggests adjusting the Journal Impact Factor to more fairly account for letters and advocates for transparent explanation of letter submission policies by journals.
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Werner Marx, Robin Haunschild, Andreas Thor, Lutz Bornmann
Article
Computer Science, Interdisciplinary Applications
Robin Haunschild, Hermann Schier, Werner Marx, Lutz Bornman
JOURNAL OF INFORMETRICS
(2018)
Article
Computer Science, Information Systems
Robin Haunschild, Werner Marx, Andreas Thor, Lutz Bornmann
JOURNAL OF INFORMATION SCIENCE
(2020)
Article
Computer Science, Interdisciplinary Applications
Robin Haunschild, Loet Leydesdorff, Lutz Bornmann, Iina Hellsten, Werner Marx
JOURNAL OF INFORMETRICS
(2019)
Letter
Computer Science, Interdisciplinary Applications
Lutz Bornmann, Werner Marx
Correction
Computer Science, Interdisciplinary Applications
Robin Haunschild, Loet Leydesdorff, Lutz Bornmann, Iina Hellsten, Werner Marx
JOURNAL OF INFORMETRICS
(2020)
Article
Meteorology & Atmospheric Sciences
Werner Marx, Robin Haunschild, Lutz Bornmann
Summary: Research on heat waves is a newly emerging and rapidly growing topic within the field of climate change research. The literature analysis shows the most severe heat wave events, affected cities and countries/regions, and ecological and medical impacts in recent decades. This research highlights the potential risks of heat waves and the need for future adaptation strategies.
THEORETICAL AND APPLIED CLIMATOLOGY
(2021)
Article
Environmental Sciences
Robin Haunschild, Werner Marx
Summary: This study analyzed 3344 publications on the health effects of resveratrol in wine and grapes. The analysis showed an increase in publication activity until 2010, followed by a slight decrease. Key papers frequently cited in the publications demonstrated a positive attitude and reported on the health benefits of resveratrol.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Multidisciplinary Sciences
Lutz Bornmann, Robin Haunschild, Kevin Boyack, Werner Marx, Jan C. Minx
Summary: This study examines the connection between climate change research and policy-making. It found that climate change papers cited in policy documents receive more citations on average. The study also observed an impact of international climate policy cycles on policy document publication and identified similar research fields between the scientific and policy communities.
Article
Computer Science, Information Systems
Lutz Bornmann, Robin Haunschild, Werner Marx
Summary: Reference Publication Year Spectroscopy (RPYS) is a bibliometric method used to reveal the historical roots of research topics or fields. It identifies the most frequently referenced publications within a specific reference publication year, instead of the most highly cited papers. This study demonstrates how RPYS can be applied to identify important researchers, institutions, and countries in breakthrough research, using the example of climate modeling and global warming prediction.
JOURNAL OF INFORMATION SCIENCE
(2023)
Article
Meteorology & Atmospheric Sciences
Werner Marx, Robin Haunschild, Lutz Bornmann
Article
Horticulture
W. Marx, R. Haunschild, L. Bornmann
Article
Meteorology & Atmospheric Sciences
Werner Marx, Robin Haunschild, Lutz Bornmann
Article
Meteorology & Atmospheric Sciences
Werner Marx, Robin Haunschild, Lutz Bornmann
Article
Computer Science, Information Systems
Andreas Barth, Werner Marx
INFORMATION-WISSENSCHAFT UND PRAXIS
(2017)