SERVEIS

Bibliometric studies

We design and perform bibliometric studies with information on:

  • The scientific production of researchers at the UPC
  • The impact of its publications
  • The positioning of the UPC versus other European and international universities
  • The comparative analysis of the thematic areas of the UPC

Most of these studies have been compiled with data extracted from the Web of Science and Scopus databases.

 

recerTIC - UPC

 

 

 

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.

Information sources

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.

Types of documents

The analysis considers mainly two types of documents indexed in the WoS: journal articles and conference papers.

Period

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.

Search algorithms

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.

Names of authors, institutions and conferences

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.

WoS subject categories

The WoS subject categories, in which the publications in the database are classified, were used to analyse the different fields.

Data visualisation

The charts and maps were generated with the following visualisation tools:

  • Highcharts®: charts that show the most productive authors and most frequent co-authoring institutions.
  • Map generator developed by the UPC Libraries, Publications and Archives Service based on Citoscape.js®.

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.

Open access

The data on which these studies are based are freely accessible and can be downloaded on the webpage of each one of them.

  • Estudi comparatiu de la publicació científica en l’àmbit de la informàtica a la UPC vs. altres universitats d’àmbit nacional i internacional (2002-2012) (2007-2017)
     
  • Estudi comparatiu de la publicació científica de la UPC i l'Escola de Camins vs. altres universitats d'àmbit internacional (1998-2008) (2000-2010) (2006-2015)
     
  • Estudi comparatiu de la publicació científica en les àrees de matemàtiques i estadística i investigació operativa a la UPC vs. altres universitats d'àmbit internacional (2000-2009) (2003-2012) (2006-2015)
     
  • Estudi comparatiu de la publicació científica de la UPC i l'ETSETB vs. altres universitats d'àmbit internacional (1997-2007) (1999-2009) (2002-2012) (2006-2016)
     
  • Estudi comparatiu de la publicació científica en l’àmbit de la física a la UPC vs. altres universitats d’àmbit nacional i internacional (2005-2014)

 

  • Estudi de la coautoria de publicacions científiques entre UPC i nou universitats dels Estats Units: Brown University, University of Chicago, Northwestern University, Stanford University, Columbia University, Cornell University, Harvard University, Princeton University i Duke University (2013)
     
  • Estudi de la coautoria de publicacions científiques entre UPC i institucions de Xina (2014)
     
  • Estudi de la coautoria de publicacions científiques entre UPC i cinc universitats dels Estats Units: Caltech, Stanford University, UC Davis, UC Irvine i UCLA (2014)
     
  • Estudi de la coautoria de publicacions científiques entre la Universitat Politècnica de Catalunya i l’Aalto University (2014)
     
  • Estudi de la coautoria de publicacions científiques: Universidade Estadual de Campinas – UNICAMP Universitat Politècnica de Catalunya – UPC-BarcelonaTech (2014)

Darrera actualització: 24/04/2019