G. Jacopini

About

G. Jacopini is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, G. Jacopini has authored 6 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 3 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in G. Jacopini’s work include Computability, Logic, AI Algorithms (4 papers), Benford’s Law and Fraud Detection (1 paper) and Evolutionary Algorithms and Applications (1 paper). G. Jacopini is often cited by papers focused on Computability, Logic, AI Algorithms (4 papers), Benford’s Law and Fraud Detection (1 paper) and Evolutionary Algorithms and Applications (1 paper). G. Jacopini collaborates with scholars based in Italy. G. Jacopini's co-authors include Corrado Böhm and Marisa Venturini Zilli and has published in prestigious journals such as Communications of the ACM, Theoretical Computer Science and SIAM Journal on Discrete Mathematics.

In The Last Decade

Co-authorship network of co-authors of G. Jacopini i

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Fields of papers citing papers by G. Jacopini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by G. Jacopini

Since Specialization

Citations

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