Luísa Coheur

45 papers and 440 indexed citations i.

About

Luísa Coheur is a scholar working on Artificial Intelligence, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Luísa Coheur has authored 45 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 4 papers in Social Psychology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Luísa Coheur’s work include Topic Modeling (31 papers), Natural Language Processing Techniques (31 papers) and Speech and dialogue systems (8 papers). Luísa Coheur is often cited by papers focused on Topic Modeling (31 papers), Natural Language Processing Techniques (31 papers) and Speech and dialogue systems (8 papers). Luísa Coheur collaborates with scholars based in Portugal, United States and Brazil. Luísa Coheur's co-authors include João Paulo Carvalho, Ana Cristina Mendes, Ricardo Ribeiro, Hugo Rosa, Andreas Wichert, João Silva, Isabel Trancoso, Nádia Pereira, Sofia Oliveira and Ana Margarida Veiga Simão and has published in prestigious journals such as Computers in Human Behavior, IEEE Access and Artificial Intelligence Review.

In The Last Decade

Co-authorship network of co-authors of Luísa Coheur i

Fields of papers citing papers by Luísa Coheur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Luísa Coheur

Since Specialization
Citations

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