Alí­pio Jorge

71 papers and 1.6k indexed citations i.

About

Alí­pio Jorge is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Alí­pio Jorge has authored 71 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 28 papers in Information Systems and 22 papers in Signal Processing. Recurrent topics in Alí­pio Jorge’s work include Recommender Systems and Techniques (14 papers), Data Management and Algorithms (12 papers) and Topic Modeling (12 papers). Alí­pio Jorge is often cited by papers focused on Recommender Systems and Techniques (14 papers), Data Management and Algorithms (12 papers) and Topic Modeling (12 papers). Alí­pio Jorge collaborates with scholars based in Portugal, France and Brazil. Alí­pio Jorge's co-authors include Carlos Soares, João Mendes‐Moreira, Jorge Freire de Sousa, Ricardo Campos, Adam Jatowt, João Gama, Célia Nunes, Vítor Mangaravite, Arian Pasquali and Daniel Loureiro and has published in prestigious journals such as Information Sciences, ACM Computing Surveys and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Alí­pio Jorge i

Fields of papers citing papers by Alí­pio Jorge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alí­pio Jorge

Since Specialization
Citations

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