Fifty-five scientists of the University of Coimbra on the World’s Top 2% Scientists 2022 list by Elsevier BV

The list includes 200,000 researchers, including 763 from Portuguese institutions.

02 november, 2022≈ 3 min read

© UC | François Fernandes

English version: Diana Taborda

The University of Coimbra has 55 scientists on the World's Top 2% Scientists 2022 list released by Elsevier BV, which includes 200,000 scientists, 763 of them from Portuguese institutions.

The names of the UC scientists ranked among the World’s Top 2% Scientists are as follows (alphabetical order):

Abílio J.F.N. Sobral, Altino Loureiro, Amílcar Falcão, Amílcar Ramalho, Ana Cláudia Paiva-Santos, Ana Fortuna, Ana Luísa Cardoso, Anabela P.Rolo, André Mendes, Aníbal Traça de Almeida, António J. Ribeiro, Bernardete Ribeiro, Boaventura de Sousa Santos, Carla Vitorino, Carlos F.G.C. Geraldes, Carlos Henggeler Antunes, Carlos M. Fonseca, Carlos Palmeira, Christopher M.A. Brett, Constança Providência, David Gonçalves, Domingos Xavier Viegas, Fernando J.T.E. Ferreira, Fernando Jorge Ventura Antunes, Filipe Campelo, Filipe Pereira, Francisco Veiga, Irina S. Moreira, João Ramalho-Santos, Joaquim Cerejeira, Jorge Batista, Jorge F.J. Coelho, Jorge Granjal, José A.F. Gamelas, José António Pereira da Silva, José Cunha-Vaz, José Domingos Costa, José Martins Ferreira, José Pinto-Gouveia, Leonel Pereira, Lígia Salgueiro, Lino Ferreira, Luís G. Arnaut, Luís Simões da Silva, Luísa Durães, M. Goreti F. Sales, Mahmoud Tavakoli, Manuel A.S. Graça, Manuel Carlos Gameiro da Silva, Manuel J. Antunes, Marco S. Reis, Margarida Gonçalo, Olga Borges, Paulo J Oliveira, Paulo Nobre Balbis dos Reis, Pedro Lopes Ferreira, Pedro Neto, Ricardo Branco, Rodrigo A. Cunha, Sandra M. Cardoso, Sérgio M.A. Cruz, Sérgio Simões, Susana G. Azevedo,Teresa M.V.D. Pinho e Melo, and Ying Ma.

Scientists are classified into 22 scientific fields and 176 sub-fields, considering their index, publications number and citations, according to the data available on Scopus in September 2022. This work uses Scopus data provided by Elsevier through the ICSR Lab.

For more informtion about the work and methodology used visit: https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/4.