Sandra de Amo

14 papers and 155 indexed citations i.

About

Sandra de Amo is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Sandra de Amo has authored 14 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Information Systems and 7 papers in Signal Processing. Recurrent topics in Sandra de Amo’s work include Data Mining Algorithms and Applications (7 papers), Data Management and Algorithms (7 papers) and Advanced Database Systems and Queries (4 papers). Sandra de Amo is often cited by papers focused on Data Mining Algorithms and Applications (7 papers), Data Management and Algorithms (7 papers) and Advanced Database Systems and Queries (4 papers). Sandra de Amo collaborates with scholars based in Brazil, Portugal and France. Sandra de Amo's co-authors include Walter Carnielli, João Marcos, João Gama, Gina M. B. Oliveira, Arnaud Giacometti, Arnaud Soulet, Nádia Félix Felipe da Silva, Nicole Bidoít and Luc Segoufin and has published in prestigious journals such as Machine Learning, International Journal of Approximate Reasoning and Data & Knowledge Engineering.

In The Last Decade

Co-authorship network of co-authors of Sandra de Amo i

Fields of papers citing papers by Sandra de Amo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandra de Amo. 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 Sandra de Amo. The network helps show where Sandra de Amo may publish in the future.

Countries citing papers authored by Sandra de Amo

Since Specialization
Citations

This map shows the geographic impact of Sandra de Amo'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 Sandra de Amo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra de Amo 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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2025