Daniel Loureiro

494 total citations
7 papers, 178 citations indexed

About

Daniel Loureiro is a scholar working on Artificial Intelligence, General Health Professions and Signal Processing. According to data from OpenAlex, Daniel Loureiro has authored 7 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in General Health Professions and 1 paper in Signal Processing. Recurrent topics in Daniel Loureiro's work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Speech and dialogue systems (3 papers). Daniel Loureiro is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Speech and dialogue systems (3 papers). Daniel Loureiro collaborates with scholars based in United Kingdom, Portugal and Spain. Daniel Loureiro's co-authors include Luis Espinosa-Anke, Francesco Barbieri, Leonardo Neves, Alí­pio Jorge, Asahi Ushio, Fangyu Liu, José Camacho-Collados, Eugenio Martínez‐Cámara and Mohammad Taher Pilehvar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and ORCA Online Research @Cardiff (Cardiff University).

In The Last Decade

Daniel Loureiro

5 papers receiving 174 citations

Peers

Daniel Loureiro
Comparison fields: 5 of 59
  • Artificial Intelligence 109
  • Sociology and Political Science 49
  • Communication 18
  • Social Psychology 15
  • Information Systems 14
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Omar Ahmed Shaikh Pakistan
Kaitlyn Zhou United States
Omaima Almatrafi United States
Abeer Aldayel Saudi Arabia
AbdelRahim Elmadany Canada
Nina Tahmasebi Sweden
Yana Samuel United States
Maximilian Wich Germany
Mirko Lai Italy
Mona Sloane United States
Omar Ahmed Shaikh Pakistan View profile →
Citations per field, relative to Daniel Loureiro
Daniel Loureiro · 1×
Citations per year, relative to Daniel Loureiro
Daniel Loureiro · 1×

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).

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.

Co-authorship network of co-authors of Daniel Loureiro

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Loureiro. A scholar is included among the top collaborators of Daniel Loureiro 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 Daniel Loureiro. Daniel Loureiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 112
2 47
3 14
4 3
5 2
6 0
7
Estágio Docente: Sobre a Formação de Professores em Modelagem Matemática na Educação Matemática
0

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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