Luca Pulina

35 papers and 267 indexed citations i.

About

Luca Pulina is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Luca Pulina has authored 35 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 14 papers in Computational Theory and Mathematics and 7 papers in Computer Networks and Communications. Recurrent topics in Luca Pulina’s work include Formal Methods in Verification (12 papers), Logic, Reasoning, and Knowledge (7 papers) and Adversarial Robustness in Machine Learning (5 papers). Luca Pulina is often cited by papers focused on Formal Methods in Verification (12 papers), Logic, Reasoning, and Knowledge (7 papers) and Adversarial Robustness in Machine Learning (5 papers). Luca Pulina collaborates with scholars based in Italy, Austria and United Kingdom. Luca Pulina's co-authors include Armando Tacchella, Marco Maratea, Francesco Ricca, Michael Zakharyaschev, Roman Kontchakov, Martina Seidl, Massimo Narizzano, Frank Wolter, Ulrike Sattler and Petra Selmer and has published in prestigious journals such as IEEE Access, Artificial Intelligence and Perception.

In The Last Decade

Co-authorship network of co-authors of Luca Pulina i

Fields of papers citing papers by Luca Pulina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Luca Pulina

Since Specialization
Citations

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