Nicoletta Dessì

11 papers and 213 indexed citations i.

About

Nicoletta Dessì is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Nicoletta Dessì has authored 11 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Artificial Intelligence and 3 papers in Information Systems and Management. Recurrent topics in Nicoletta Dessì’s work include Gene expression and cancer classification (5 papers), Machine Learning in Bioinformatics (4 papers) and Scientific Computing and Data Management (3 papers). Nicoletta Dessì is often cited by papers focused on Gene expression and cancer classification (5 papers), Machine Learning in Bioinformatics (4 papers) and Scientific Computing and Data Management (3 papers). Nicoletta Dessì collaborates with scholars based in Italy, Luxembourg and Brazil. Nicoletta Dessì's co-authors include Barbara Pes, Andrea Bosin, M Giagheddu, Paolo Tacconi, Francesco Marrosu, Mariagrazia Fugini, Rodrigo Bonacin and Marcos Da Silveira and has published in prestigious journals such as Expert Systems with Applications, BioMed Research International and Information Fusion.

In The Last Decade

Co-authorship network of co-authors of Nicoletta Dessì i

Fields of papers citing papers by Nicoletta Dessì

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nicoletta Dessì

Since Specialization
Citations

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