Joäo Graça

16 papers and 357 indexed citations i.

About

Joäo Graça is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Joäo Graça has authored 16 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 2 papers in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Joäo Graça’s work include Topic Modeling (16 papers), Natural Language Processing Techniques (16 papers) and Speech Recognition and Synthesis (4 papers). Joäo Graça is often cited by papers focused on Topic Modeling (16 papers), Natural Language Processing Techniques (16 papers) and Speech Recognition and Synthesis (4 papers). Joäo Graça collaborates with scholars based in Portugal, United States and United Kingdom. Joäo Graça's co-authors include Ben Taskar, Kuzman Ganchev, Jennifer Gillenwater, Shen Li, Luísa Coheur, Fernando Pereira, Isabel Trancoso, Diamantino Caseiro, Alan W. Black and Ling Wang and has published in prestigious journals such as Journal of Machine Learning Research, Journal of Artificial Intelligence Research and Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Joäo Graça i

Fields of papers citing papers by Joäo Graça

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Joäo Graça

Since Specialization
Citations

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