Lukas Calefice

About

Lukas Calefice is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Lukas Calefice has authored 17 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Biomedical Engineering. Recurrent topics in Lukas Calefice’s work include COVID-19 diagnosis using AI (8 papers), Anomaly Detection Techniques and Applications (8 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Lukas Calefice is often cited by papers focused on COVID-19 diagnosis using AI (8 papers), Anomaly Detection Techniques and Applications (8 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Lukas Calefice collaborates with scholars based in Costa Rica, United Kingdom and Spain. Lukas Calefice's co-authors include Alan R. Moody, Shengxiang Yang, Žiga Emeršič, Indranil Balki, Jacob Levman, Blaž Meden, Pascal N. Tyrrell, Afsaneh Amirabadi, Dehan Kong and David Elizondo and has published in prestigious journals such as IEEE Access, Applied Soft Computing and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Lukas Calefice i

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Fields of papers citing papers by Lukas Calefice

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lukas Calefice

Since Specialization

Citations

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