Marco Rovere

11 papers and 68 indexed citations i.

About

Marco Rovere is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Marco Rovere has authored 11 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nuclear and High Energy Physics, 6 papers in Computer Networks and Communications and 2 papers in Artificial Intelligence. Recurrent topics in Marco Rovere’s work include Particle physics theoretical and experimental studies (7 papers), Particle Detector Development and Performance (5 papers) and Distributed and Parallel Computing Systems (4 papers). Marco Rovere is often cited by papers focused on Particle physics theoretical and experimental studies (7 papers), Particle Detector Development and Performance (5 papers) and Distributed and Parallel Computing Systems (4 papers). Marco Rovere collaborates with scholars based in Switzerland, United States and Italy. Marco Rovere's co-authors include F. Pantaleo, G. Ranucci, M. J. Kortelainen, Vincenzo Innocente, Z. Chen, Antonio Di Pilato, A. Bocci, Tomáš Hreus, Marcel Schneider and B. A. Fontana Santos Alves and has published in prestigious journals such as Frontiers in Big Data, Journal of Physics Conference Series and Physical review. D. Particles, fields, gravitation, and cosmology.

In The Last Decade

Co-authorship network of co-authors of Marco Rovere i

Fields of papers citing papers by Marco Rovere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Rovere

Since Specialization
Citations

This map shows the geographic impact of Marco Rovere'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 Marco Rovere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Rovere 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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2025