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Dan Ariely (Hebrew: דן אריאלי; born April 29, 1967) is an Israeli-American professor and author. He serves as a James B. Duke Professor of psychology and behavioral economics at Duke University.
Data Colada is also recognized for helping to establish better research practices, such as the sharing of replication data. [3] The Nobel-prize winning psychologist Daniel Kahneman described Data Colada in 2023 as "heroes of mine" and expressed his regret about previously endorsing research findings that the blog later showed were faulty. [2]
While these journals still did not receive an impact factor until the next year, they did contribute citations to the calculation of other journals' impact factors. [ 4 ] [ 5 ] In July 2022, Clarivate announced that journals in the ESCI obtain an impact factor effective from JCR Year 2022 first released in June 2023.
The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric index calculated by Clarivate that reflects the yearly mean number of citations of articles published in the last two years in a given journal, as indexed by Clarivate's Web of Science.
List of academic journals about specific authors; List of accounting journals; List of African studies journals; List of anarchist periodicals; List of anthropology journals; List of arachnology journals; List of astronomy journals; List of bioethics journals; List of bioinformatics journals; List of biology journals; List of botany journals ...
The following is a partial list of scientific journals. There are thousands of scientific journals in publication, and many more have been published at various points in the past. The list given here is far from exhaustive, only containing some of the most influential, currently publishing journals in each field.
[17] [18] [19] In a Journal of the American Society for Information Science and Technology article, Howard D. White et al. wrote: "Bibliometric measures for evaluating research units in the book-oriented humanities and social sciences are underdeveloped relative to those available for journal-oriented science and technology".
Author-level metrics are citation metrics that measure the bibliometric impact of individual authors, researchers, academics, and scholars. Many metrics have been developed that take into account varying numbers of factors (from only considering the total number of citations, to looking at their distribution across papers or journals using statistical or graph-theoretic principles).