Andrea De Lucia

165 papers and 5.3k indexed citations i.

About

Andrea De Lucia is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Andrea De Lucia has authored 165 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Information Systems, 79 papers in Software and 32 papers in Artificial Intelligence. Recurrent topics in Andrea De Lucia’s work include Software Engineering Research (117 papers), Software Reliability and Analysis Research (67 papers) and Software Engineering Techniques and Practices (28 papers). Andrea De Lucia is often cited by papers focused on Software Engineering Research (117 papers), Software Reliability and Analysis Research (67 papers) and Software Engineering Techniques and Practices (28 papers). Andrea De Lucia collaborates with scholars based in Italy, United States and The Netherlands. Andrea De Lucia's co-authors include Rocco Oliveto, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk, Gerardo Canfora, Genoveffa Tortora, Annibale Panichella, Dario Di Nucci and Andy Zaidman and has published in prestigious journals such as Computers & Education, New Journal of Physics and IEEE Transactions on Software Engineering.

In The Last Decade

Co-authorship network of co-authors of Andrea De Lucia i

Fields of papers citing papers by Andrea De Lucia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrea De Lucia

Since Specialization
Citations

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