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pro vyhledávání: '"Sjögårde, Peter"'
Autor:
Sjögårde, Peter, Ahlgren, Per
Publikováno v:
Quantitative Science Studies, Vol 1, Iss 1, Pp 207-238 (2020)
In this work, we build on and use the outcome of an earlier study on topic identification in an algorithmically constructed publication-level classification (ACPLC), and address the issue of how to algorithmically obtain a classification of topics (c
Externí odkaz:
https://doaj.org/article/8904c2288ef542808bc69db0ec9990ef
Autor:
Sjögårde, Peter, Ahlgren, Per
In this contribution, we deal with seed-based information retrieval in networks of research publications. Using systematic reviews as a baseline, and publication data from the NIH Open Citation Collection, we compare the performance of the three cita
Externí odkaz:
http://arxiv.org/abs/2403.09295
Autor:
Sjögårde, Peter, Ahlgren, Per
Clustering of publication networks is an efficient way to obtain classifications of large collections of research publications. Such classifications can be used to, e.g., detect research topics, normalize citation relations, or explore the publicatio
Externí odkaz:
http://arxiv.org/abs/2309.14102
Autor:
Sjögårde, Peter
Algorithmic classification of research publications has been created to study different aspects of research. Such classifications can be used to support information needs in universities for decision making. However, the classifications have foremost
Externí odkaz:
http://arxiv.org/abs/2206.10888
Autor:
Sjögårde, Peter
Publikováno v:
Sj\"og{\aa}rde, Peter. (2022, September 7). The effect of the rapid growth of covid-19 publications on citation indicators. 26th International Conference on Science, Technology and Innovation Indicators (STI 2022), Granada, Spain
A concern has been raised that "covidization" of research would cause an overemphasizes on covid-19 and pandemics at the expense of other research. The rapid growth of publications related to the Covid-19 pandemic renders a vast amount of citations f
Externí odkaz:
http://arxiv.org/abs/2205.01010
Autor:
Sjögårde, Peter
Overlay maps of science are global base maps over which subsets of publications can be projected. Such maps can be used to monitor, explore, and study research through its publication output. Most maps of science, including overlay maps, are flat in
Externí odkaz:
http://arxiv.org/abs/2110.07917
Autor:
Sjögårde, Peter, Didegah, Fereshteh
Publikováno v:
Scientometrics (2022)
Citations are used for research evaluation, and it is therefore important to know which factors influence or associate with citation impact of articles. Several citation factors have been studied in the literature. In this study we propose a new fact
Externí odkaz:
http://arxiv.org/abs/2106.08708
Algorithmic classifications of research publications can be used to study many different aspects of the science system, such as the organization of science into fields, the growth of fields, interdisciplinarity, and emerging topics. How to label the
Externí odkaz:
http://arxiv.org/abs/2004.08090
Autor:
Sjögårde, Peter, Ahlgren, Per
In this work, in which we build on, and use the outcome of, an earlier study on topic identification in an algorithmically constructed publication-level classification (ACPLC), we address the issue how to algorithmically obtain a classification of to
Externí odkaz:
http://arxiv.org/abs/1901.05273
Autor:
Sjögårde, Peter, Ahlgren, Per
Publikováno v:
Journal of Informetrics. 2018. Volume 12, Issue 1, Pages 133-152
The purpose of this study is to find a theoretically grounded, practically applicable and useful granularity level of an algorithmically constructed publication-level classification of research publications (ACPLC). The level addressed is the level o
Externí odkaz:
http://arxiv.org/abs/1801.02466