We design and perform bibliometric studies with information on:
Most of these studies have been compiled with data extracted from the Web of Science and Scopus databases.
Due to its complexity, the recerCAMINS UPC reports take some time to load. Please be patient.
| Computational mechanics | Construction engineering | Groundwater hydrology | Hydrology, maritime and environmental engineering | Soil mechanics and geotechnical engineering |
recerCAMINS UPC is a set of works that intends to give a representative view of the UPC’s scientific publishing on topics of interest in the field of the civil engineering.
recerCAMINS UPC aims to provide a meaningful snapshot of UPC researchers’ publications, with an emphasis on co-authorship and subject matter.
Despite the breadth of the sample, recerCAMINS UPC does not intend to provide an exhaustive analysis of this output and its impact.
The source of information used is the Web of Science (WoS) Core Collection by Clarivate Analytics.
In addition, the studies include links to FUTUR, the portal that brings together the scientific output of UPC researchers, and, in some cases, to the original publications.
The analysis considers mainly two types of documents indexed in the WoS: journal articles and conference papers.
The analysis considers works published between 2014 and 2018 that were indexed in the WoS database when the searches were conducted in October 2019.
Publications in the subject area that is being analysed were selected from the journals and conferences in which researchers from the research groups at the Barcelona School of Civil Engineering of the UPC publish.
In the case of Construction, the list of sources has been reduced to prevent noise. The selection was agreed with specialists at the Barcelona School of Civil Engineering.
Despite being an internationally renowned database for assessing research, the WoS has certain limitations when it comes to dealing with names and affiliations.
Variations in the names of authors, institutions and conferences were corrected after the search, but there may still be some dispersion or inconsistency in the results that should not have a significant effect on the conclusions that may be drawn from the study.
The WoS subject categories, in which the publications in the database are classified, were used to analyse the different fields.
The charts and maps were generated with the following visualisation tools:
Complete lists in PDF that complement the information in the charts and tables are available.
The data on which the RecerCAMINS UPC studies are based are open access and can be downloaded from each study.
Due to its complexity, the recerTIC UPC reports take some time to load. Please be patient.
| 5G | Computer security | Embedded systems | Machine learning | Smart sensors |
| Bioinformatics | Data science and engineering | IoT | Robotics | Vehicle-to-everything |
recerTIC UPC is a set of works that intends to give a representative view of the UPC’s scientific publishing on topics of interest in the field of information and communication technologies.
recerTIC UPC aims to provide a meaningful snapshot of UPC researchers’ publications, with an emphasis on co-authorship, affiliation and subject matter.
Despite the breadth of the sample, and given the limitations of the databases on which it is based, recerTIC UPC can’t guarantee an exhaustive analysis of this output and its impact.
The source of information used is the Web of Science (WoS) Core Collection by Clarivate Analytics, with the only exception of the use of the h5 index from Google Scholar for the evaluation of the impact of journals and congresses.
In addition, the studies include links to FUTUR, the portal that brings together the scientific output of UPC researchers, and, in some cases, to the original publications.
The analysis considers mainly two types of documents indexed in the WoS: journal articles and conference papers.
The analysis considers works published between 2007 and 2017 that were indexed in the WoS database when the searches were conducted from April 2018 to January 2019.
Publications were selected using search algorithms built on boolean combinations of keywords in the field of each study.
Keywords were agreed with UPC specialists and were chosen to balance relevance, pertinence and representativeness.
The algorithms use Boolean operators to combine the search terms.
The search algorithms run in the Advanced Search mode, in the field TS=Topic. A search in the TS field retrieves the terms within the Title, Abstract, Author Keywords and Keywords Plus® fields.
The results obtained were narrowed down and refined in cases in which there was a possibility of ambiguity.
Despite being an internationally renowned database for assessing research, the WoS has certain limitations when it comes to dealing with names and affiliations.
Variations in the names of authors, institutions and conferences were corrected after the search, but there may still be some dispersion or inconsistency in the results that should not have a significant effect on the conclusions that may be drawn from the study.
The WoS subject categories, in which the publications in the database are classified, were used to analyse the different fields.
The charts and maps were generated with the following visualisation tools:
Publications with more than 50 co-authors were excluded from the map showing authors and co-authors, as they were hard for the application to process and made the maps difficult to understand. These publications and their authors can be found in the others maps, in the complete lists that accompany the graphs and in the tables of most cited publications if that is the case.
The data on which these studies are based are freely accessible and can be downloaded on the webpage of each one of them.
