Daniela De Canditiis

37 papers and 299 indexed citations i.

About

Daniela De Canditiis is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Daniela De Canditiis has authored 37 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Molecular Biology and 7 papers in Artificial Intelligence. Recurrent topics in Daniela De Canditiis’s work include Image and Signal Denoising Methods (12 papers), Statistical Methods and Inference (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Daniela De Canditiis is often cited by papers focused on Image and Signal Denoising Methods (12 papers), Statistical Methods and Inference (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Daniela De Canditiis collaborates with scholars based in Italy, United States and Israel. Daniela De Canditiis's co-authors include Claudia Angelini, Marianna Pensky, Margherita Mutarelli, Umberto Amato, Brani Vidaković, Carmine Serio, Italia De Feis, Luisa Cutillo, Caterina Anania and Giovanna De Castro and has published in prestigious journals such as Geophysical Research Letters, International Journal of Molecular Sciences and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Daniela De Canditiis i

Fields of papers citing papers by Daniela De Canditiis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela De Canditiis

Since Specialization
Citations

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