Daniel Loureiro

About

Daniel Loureiro is a scholar working on Artificial Intelligence, Signal Processing and Industrial relations. According to data from OpenAlex, Daniel Loureiro has authored 9 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 1 paper in Signal Processing and 0 papers in Industrial relations. Recurrent topics in Daniel Loureiro’s work include Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers) and Speech and dialogue systems (5 papers). Daniel Loureiro is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers) and Speech and dialogue systems (5 papers). Daniel Loureiro collaborates with scholars based in Portugal, United Kingdom and United States. Daniel Loureiro's co-authors include Alípio Jorge, Luis Espinosa-Anke, Francesco Barbieri, Leonardo Neves, José Camacho-Collados, Mohammad Taher Pilehvar, Eugenio Martínez‐Cámara and Fangyu Liu and has published in prestigious journals such as Artificial Intelligence, Computational Linguistics and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Daniel Loureiro i

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Fields of papers citing papers by Daniel Loureiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Loureiro. 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 Daniel Loureiro. The network helps show where Daniel Loureiro may publish in the future.

Countries citing papers authored by Daniel Loureiro

Since Specialization

Citations

This map shows the geographic impact of Daniel Loureiro'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 Daniel Loureiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Loureiro more than expected).

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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