Ricardo Rei

92 total papers · 643 total citations
29 papers, 196 citations indexed

About

Ricardo Rei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ricardo Rei has authored 29 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Ricardo Rei's work include Natural Language Processing Techniques (22 papers), Topic Modeling (17 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Ricardo Rei is often cited by papers focused on Natural Language Processing Techniques (22 papers), Topic Modeling (17 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Ricardo Rei collaborates with scholars based in Portugal, United States and United Kingdom. Ricardo Rei's co-authors include André F. T. Martins, Pierre Colombo, Elena Voita, Barry Haddow, Alexandra Birch, José G. C. de Souza, Patrick Fernandes, Perez Ogayo, Graham Neubig and Luísa Coheur and has published in prestigious journals such as Expert Systems with Applications, Computational Linguistics and Transactions of the Association for Computational Linguistics.

In The Last Decade

Ricardo Rei

24 papers receiving 182 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ricardo Rei 172 31 15 9 4 29 196
Kalpesh Krishna 148 0.9× 22 0.7× 20 1.3× 12 1.3× 10 2.5× 17 184
Yunlong Liang 180 1.0× 31 1.0× 26 1.7× 13 1.4× 3 0.8× 17 216
Ziyu Yao 115 0.7× 26 0.8× 41 2.7× 8 0.9× 5 1.3× 26 161
Jiaan Wang 231 1.3× 36 1.2× 32 2.1× 15 1.7× 2 0.5× 28 268
Piyawat Lertvittayakumjorn 102 0.6× 20 0.6× 14 0.9× 7 0.8× 6 1.5× 17 122
Oana-Maria Camburu 211 1.2× 57 1.8× 14 0.9× 6 0.7× 4 1.0× 15 226
Ernie Chang 129 0.8× 41 1.3× 11 0.7× 4 0.4× 2 0.5× 24 162
Xin Jiang 131 0.8× 45 1.5× 21 1.4× 4 0.4× 6 1.5× 21 155
Daniel Deutsch 210 1.2× 34 1.1× 23 1.5× 3 0.3× 9 2.3× 30 224
Qingyu Yin 214 1.2× 46 1.5× 41 2.7× 5 0.6× 11 2.8× 30 233

Countries citing papers authored by Ricardo Rei

Since Specialization
Citations

This map shows the geographic impact of Ricardo Rei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ricardo Rei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricardo Rei more than expected).

Fields of papers citing papers by Ricardo Rei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ricardo Rei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ricardo Rei. The network helps show where Ricardo Rei may publish in the future.

Co-authorship network of co-authors of Ricardo Rei

This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Rei. A scholar is included among the top collaborators of Ricardo Rei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ricardo Rei. Ricardo Rei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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