Roberto Grossi

74 papers and 931 indexed citations i.

About

Roberto Grossi is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Roberto Grossi has authored 74 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 32 papers in Molecular Biology and 25 papers in Computational Theory and Mathematics. Recurrent topics in Roberto Grossi’s work include Algorithms and Data Compression (53 papers), DNA and Biological Computing (25 papers) and Network Packet Processing and Optimization (21 papers). Roberto Grossi is often cited by papers focused on Algorithms and Data Compression (53 papers), DNA and Biological Computing (25 papers) and Network Packet Processing and Optimization (21 papers). Roberto Grossi collaborates with scholars based in Italy, France and United Kingdom. Roberto Grossi's co-authors include Jeffrey Scott Vitter, Paolo Ferragina, Ankur Gupta, Kunihiko Sadakane, Andrea Marino, Nadia Pisanti, Raffaele Giancarlo, Fabrizio Luccio, Alessio Conte and Giuseppe Ottaviano and has published in prestigious journals such as Nature Communications, BMC Bioinformatics and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Roberto Grossi i

Fields of papers citing papers by Roberto Grossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roberto Grossi

Since Specialization
Citations

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