Umberto Nanni

33 papers and 627 indexed citations i.

About

Umberto Nanni is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Umberto Nanni has authored 33 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 13 papers in Computational Theory and Mathematics and 11 papers in Artificial Intelligence. Recurrent topics in Umberto Nanni’s work include Combinatorial Optimization and Complexity Theory (11 papers), Algorithms and Data Compression (9 papers) and Optimization and Search Problems (6 papers). Umberto Nanni is often cited by papers focused on Combinatorial Optimization and Complexity Theory (11 papers), Algorithms and Data Compression (9 papers) and Optimization and Search Problems (6 papers). Umberto Nanni collaborates with scholars based in Italy, United States and Luxembourg. Umberto Nanni's co-authors include Alberto Marchetti-Spaccamela, Daniele Frigioni, Giuseppe F. Italiano, Giorgio Ausiello, Silvia Riondino, Fiorella Guadagni, Mario Roselli, Patrizia Ferroni, Hans Rohnert and Noemi Scarpato and has published in prestigious journals such as Cancer Epidemiology Biomarkers & Prevention, Medical Decision Making and Theoretical Computer Science.

In The Last Decade

Co-authorship network of co-authors of Umberto Nanni i

Fields of papers citing papers by Umberto Nanni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Umberto Nanni

Since Specialization
Citations

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