Stanford University has recently published an update of the list of the world's top 2% most-cited scientists, in different disciplines.

Based on around 8 million authors active in one or more fields of scientific research, the list of top scientists also includes ten researchers from the Department of Geosciences at the University of Padova. These researchers work in various fields, such as geomorphology, geochemistry and geophysics.

According to the list (available at this link), the ten researchers are: Filippo Catani, Gilberto Artioli, Paolo Nimis, Nicola Surian, Manuele Faccenda, Fabrizio Nestola, Francesco Marra, Giulio Di Toro, Lara Maritan e Francesca da Porto.

In particular, the researchers fall within the ranking referring to the year 2023, which takes into account the data of the citations received from all their papers in this specific year.

Among them, Gilberto Artioli, Filippo Catani and Paolo Nimis also appear in the ranking relating to the entire career.

The Department of Geosciences of the University of Padua has therefore maintained the excellent performance of last year, confirming the high quality of the research carried out.

The analysis takes into account 22 scientific fields and 176 sub-fields and it shows data referred to career-long and, separately, single recent year impact.

More specifically, the work focuses on the so-called citation metrics, that is, the set of information related to the number of citations obtained from a paper. The data come from Scopus, the world's largest citation abstract database, and include six metrics, ranging from the total number of citations to that referring only to papers as first or single authors, up to the h-index. In addition, particular attention is paid to self-citations, which are appropriately recognized and counted separately, to highlight their impact on the metrics.

Originally published in 2019, the list was updated at the end of 2020 by integrating the data available up to the end of the previous year. This fifth edition is updated to the end of 2023. Three associated papers were published in PLoS Biology to explain the development, validation, and use of these metrics and databases.

The data are available here:

https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/7