Roméo Rizzi

121 papers and 1.2k indexed citations i.

About

Roméo Rizzi is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Roméo Rizzi has authored 121 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computational Theory and Mathematics, 34 papers in Computer Networks and Communications and 33 papers in Artificial Intelligence. Recurrent topics in Roméo Rizzi’s work include Advanced Graph Theory Research (50 papers), Combinatorial Optimization and Complexity Theory (32 papers) and Algorithms and Data Compression (19 papers). Roméo Rizzi is often cited by papers focused on Advanced Graph Theory Research (50 papers), Combinatorial Optimization and Complexity Theory (32 papers) and Algorithms and Data Compression (19 papers). Roméo Rizzi collaborates with scholars based in Italy, France and Finland. Roméo Rizzi's co-authors include Stefano Benati, Alessandro Panconesi, Giuseppe Lancia, Christian Liebchen, Alberto Caprara, Alexandru I. Tomescu, Cristina M. Pinotti, Veli Mäkinen, Péter Bíró and Andrew D. King and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Roméo Rizzi i

Fields of papers citing papers by Roméo Rizzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roméo Rizzi

Since Specialization
Citations

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