Bibliometric Analysis of the Phenomenology Literature
Contributions To Phenomenology, ISSN: 2215-1915, Vol: 122, Page: 17-47
2023
- 7Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures7
- Readers7
Book Chapter Description
More has been written about phenomenology than could possibly be read in a single person’s lifetime, or even in several lifetimes. Despite its unwieldy size, this vast “horizon” of literary output has a tractable structure. We leverage the tools of bibliometrics to study the structure of the phenomenology literature, and test several hypotheses about it. We create an author-wise co-citation network, a graph of nodes and connections, where each node corresponds to an author who has written a document with the word “Phenomenology” in it, and where two nodes are connected if the corresponding authors have cited each other. By applying clustering algorithms and other techniques to this network, certain structural features of the field emerge. The main areas of research since 1970 conform fairly well to an intuitive understanding of the literature, though there are some surprises.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85153295551&origin=inward; http://dx.doi.org/10.1007/978-3-031-26074-2_2; https://link.springer.com/10.1007/978-3-031-26074-2_2; https://dx.doi.org/10.1007/978-3-031-26074-2_2; https://link.springer.com/chapter/10.1007/978-3-031-26074-2_2
Springer Science and Business Media LLC
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