Inês Dutra

42 papers and 319 indexed citations i.

About

Inês Dutra is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Inês Dutra has authored 42 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 10 papers in Molecular Biology and 10 papers in Computer Networks and Communications. Recurrent topics in Inês Dutra’s work include Biomedical Text Mining and Ontologies (9 papers), AI in cancer detection (7 papers) and Parallel Computing and Optimization Techniques (6 papers). Inês Dutra is often cited by papers focused on Biomedical Text Mining and Ontologies (9 papers), AI in cancer detection (7 papers) and Parallel Computing and Optimization Techniques (6 papers). Inês Dutra collaborates with scholars based in Portugal, United States and Brazil. Inês Dutra's co-authors include Vı́tor Santos Costa, Fernando Silva, Elizabeth S. Burnside, Pedro Ferreira, Paulino Sousa, Jude Shavlik, Jesse Davis, Ricardo Cruz‐Correia, Priscila M. V. Lima and David Page and has published in prestigious journals such as Sensors, IEEE Access and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Inês Dutra i

Fields of papers citing papers by Inês Dutra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Inês Dutra

Since Specialization
Citations

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