G.A. Di Lucca

19 papers and 249 indexed citations i.

About

G.A. Di Lucca is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, G.A. Di Lucca has authored 19 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 9 papers in Software and 5 papers in Artificial Intelligence. Recurrent topics in G.A. Di Lucca’s work include Software Engineering Research (12 papers), Software Reliability and Analysis Research (6 papers) and Software Testing and Debugging Techniques (6 papers). G.A. Di Lucca is often cited by papers focused on Software Engineering Research (12 papers), Software Reliability and Analysis Research (6 papers) and Software Testing and Debugging Techniques (6 papers). G.A. Di Lucca collaborates with scholars based in Italy. G.A. Di Lucca's co-authors include Anna Rita Fasolino, A. Cimitile, Gerardo Canfora, Andrea De Lucia, Mario Luca Bernardi, Massimiliano Di Penta, Porfirio Tramontana, Giuliano Antoniol, Marta Cimitile and Corrado Aaron Visaggio and has published in prestigious journals such as IEEE Transactions on Software Engineering, Information and Software Technology and Journal of Systems and Software.

In The Last Decade

Co-authorship network of co-authors of G.A. Di Lucca i

Fields of papers citing papers by G.A. Di Lucca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.A. Di Lucca. 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 G.A. Di Lucca. The network helps show where G.A. Di Lucca may publish in the future.

Countries citing papers authored by G.A. Di Lucca

Since Specialization
Citations

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