Emanuele Panizzi

25 papers and 225 indexed citations i.

About

Emanuele Panizzi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Nuclear and High Energy Physics. According to data from OpenAlex, Emanuele Panizzi has authored 25 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Nuclear and High Energy Physics. Recurrent topics in Emanuele Panizzi’s work include Particle physics theoretical and experimental studies (5 papers), Distributed and Parallel Computing Systems (4 papers) and Parallel Computing and Optimization Techniques (4 papers). Emanuele Panizzi is often cited by papers focused on Particle physics theoretical and experimental studies (5 papers), Distributed and Parallel Computing Systems (4 papers) and Parallel Computing and Optimization Techniques (4 papers). Emanuele Panizzi collaborates with scholars based in Italy, United States and Switzerland. Emanuele Panizzi's co-authors include Kent L. Norman, N. Cabibbo, C. Battista, G.M. Todesco, Pier Stanislao Paolucci, A. Bartoloni, F. Rapuano, R. Sarno, Mario Torelli and P. Vicini and has published in prestigious journals such as Physics Letters B, Computer Physics Communications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Emanuele Panizzi i

Fields of papers citing papers by Emanuele Panizzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Emanuele Panizzi

Since Specialization
Citations

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