Visualising Scientific Topic Evolution
Author:
Affiliation:
1. IMSI, ATHENA RC
2. University of the Peloponnese
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3442442.3451371
Reference17 articles.
1. Dynamic topic models
2. Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references
3. Serafeim Chatzopoulos Panagiotis Deligiannis Thanasis Vergoulis Ilias Kanellos Christos Tryfonopoulos and Theodore Dalamagas. 2019. SciTo Trends: Visualising Scientific Topic Trends(Lecture Notes in Computer Science) Vol. 11799. 393–396. https://doi.org/10.1007/978-3-030-30760-8_41 Serafeim Chatzopoulos Panagiotis Deligiannis Thanasis Vergoulis Ilias Kanellos Christos Tryfonopoulos and Theodore Dalamagas. 2019. SciTo Trends: Visualising Scientific Topic Trends(Lecture Notes in Computer Science) Vol. 11799. 393–396. https://doi.org/10.1007/978-3-030-30760-8_41
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1. MatrixSim: A new method for detecting the evolution paths of research topics;Journal of Informetrics;2022-11
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