Annalisa De Bonis

21 papers and 400 indexed citations i.

About

Annalisa De Bonis is a scholar working on Molecular Biology, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Annalisa De Bonis has authored 21 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Artificial Intelligence and 9 papers in Infectious Diseases. Recurrent topics in Annalisa De Bonis’s work include Advanced biosensing and bioanalysis techniques (9 papers), SARS-CoV-2 detection and testing (9 papers) and Machine Learning and Algorithms (7 papers). Annalisa De Bonis is often cited by papers focused on Advanced biosensing and bioanalysis techniques (9 papers), SARS-CoV-2 detection and testing (9 papers) and Machine Learning and Algorithms (7 papers). Annalisa De Bonis collaborates with scholars based in Italy, United States and Hungary. Annalisa De Bonis's co-authors include Ugo Vaccaro, Alfredo De Santis, Carlo Blundo, Gyula O. H. Katona, Leszek Gąsieniec, Konrad J. Swanepoel, Luisa Gargano, Stelvio Cimato, Charles J. Colbourn and Barbara Masucci and has published in prestigious journals such as IEEE Transactions on Information Theory, Information Sciences and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of Annalisa De Bonis i

Fields of papers citing papers by Annalisa De Bonis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Annalisa De Bonis. 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 Annalisa De Bonis. The network helps show where Annalisa De Bonis may publish in the future.

Countries citing papers authored by Annalisa De Bonis

Since Specialization
Citations

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