Alfonso Gerevini

88 papers and 1.2k indexed citations i.

About

Alfonso Gerevini is a scholar working on Artificial Intelligence, Computer Networks and Communications and Software. According to data from OpenAlex, Alfonso Gerevini has authored 88 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Artificial Intelligence, 40 papers in Computer Networks and Communications and 13 papers in Software. Recurrent topics in Alfonso Gerevini’s work include AI-based Problem Solving and Planning (56 papers), Distributed Constraint Optimization Problems and Algorithms (38 papers) and Logic, Reasoning, and Knowledge (35 papers). Alfonso Gerevini is often cited by papers focused on AI-based Problem Solving and Planning (56 papers), Distributed Constraint Optimization Problems and Algorithms (38 papers) and Logic, Reasoning, and Knowledge (35 papers). Alfonso Gerevini collaborates with scholars based in Italy, United States and United Kingdom. Alfonso Gerevini's co-authors include Ivan Serina, Alessandro Saetti, Lenhart K. Schubert, Derek Long, Yannis Dimopoulos, Patrik Haslum, Maria Fox, Mauro Vallati, Jochen Renz and Bernhard Nebel and has published in prestigious journals such as IEEE Access, Artificial Intelligence and Journal of Artificial Intelligence Research.

In The Last Decade

Co-authorship network of co-authors of Alfonso Gerevini i

Fields of papers citing papers by Alfonso Gerevini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alfonso Gerevini

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025