Domenico Pomarico

19 papers and 264 indexed citations i.

About

Domenico Pomarico is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Cancer Research. According to data from OpenAlex, Domenico Pomarico has authored 19 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Atomic and Molecular Physics, and Optics and 6 papers in Cancer Research. Recurrent topics in Domenico Pomarico’s work include Quantum Information and Cryptography (9 papers), Breast Cancer Treatment Studies (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Domenico Pomarico is often cited by papers focused on Quantum Information and Cryptography (9 papers), Breast Cancer Treatment Studies (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Domenico Pomarico collaborates with scholars based in Italy, United Kingdom and Australia. Domenico Pomarico's co-authors include Paolo Facchi, Francesco V. Pepe, Saverio Pascazio, Tommaso Tufarelli, Alfredo Zito, Daniele La Forgia, Annarita Fanizzi, Vittorio Didonna, Pasquale Tamborra and Raffaella Massafra and has published in prestigious journals such as PLoS ONE, Scientific Reports and New Journal of Physics.

In The Last Decade

Co-authorship network of co-authors of Domenico Pomarico i

Fields of papers citing papers by Domenico Pomarico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Domenico Pomarico

Since Specialization
Citations

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