Paolo Arcaini

87 papers and 495 indexed citations i.

About

Paolo Arcaini is a scholar working on Software, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Paolo Arcaini has authored 87 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Software, 44 papers in Artificial Intelligence and 30 papers in Computational Theory and Mathematics. Recurrent topics in Paolo Arcaini’s work include Software Testing and Debugging Techniques (41 papers), Software Reliability and Analysis Research (31 papers) and Formal Methods in Verification (24 papers). Paolo Arcaini is often cited by papers focused on Software Testing and Debugging Techniques (41 papers), Software Reliability and Analysis Research (31 papers) and Formal Methods in Verification (24 papers). Paolo Arcaini collaborates with scholars based in Japan, Italy and Norway. Paolo Arcaini's co-authors include Angelo Gargantini, Elvinia Riccobene, Shaukat Ali, Tao Yue, Patrizia Scandurra, Zhenya Zhang, Ichiro Hasuo, Gidon Ernst, Fuyuki Ishikawa and Atif Mashkoor and has published in prestigious journals such as Information Sciences, Applied Soft Computing and IEEE Transactions on Software Engineering.

In The Last Decade

Co-authorship network of co-authors of Paolo Arcaini i

Fields of papers citing papers by Paolo Arcaini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paolo Arcaini

Since Specialization
Citations

This map shows the geographic impact of Paolo Arcaini'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 Paolo Arcaini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Arcaini 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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2025