Daniele Gorla

35 papers and 237 indexed citations i.

About

Daniele Gorla is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Daniele Gorla has authored 35 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 17 papers in Computer Networks and Communications and 16 papers in Computational Theory and Mathematics. Recurrent topics in Daniele Gorla’s work include Logic, programming, and type systems (22 papers), Distributed systems and fault tolerance (12 papers) and Formal Methods in Verification (11 papers). Daniele Gorla is often cited by papers focused on Logic, programming, and type systems (22 papers), Distributed systems and fault tolerance (12 papers) and Formal Methods in Verification (11 papers). Daniele Gorla collaborates with scholars based in Italy, United Kingdom and Australia. Daniele Gorla's co-authors include Rosario Pugliese, Rocco De Nicola, Uwe Nestmann, Vladimiro Sassone, Matthew Hennessy, Thomas Given-Wilson, Ivano Salvo, Paolo Baldan, Chiara Braghin and Anna Labella and has published in prestigious journals such as IEEE Transactions on Software Engineering, Theoretical Computer Science and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Daniele Gorla i

Fields of papers citing papers by Daniele Gorla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniele Gorla

Since Specialization
Citations

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