P. Vischia

5 papers and 14 indexed citations i.

About

P. Vischia is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, P. Vischia has authored 5 papers receiving a total of 14 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nuclear and High Energy Physics, 2 papers in Artificial Intelligence and 1 paper in Materials Chemistry. Recurrent topics in P. Vischia’s work include Particle physics theoretical and experimental studies (4 papers), Particle Detector Development and Performance (3 papers) and Distributed and Parallel Computing Systems (1 paper). P. Vischia is often cited by papers focused on Particle physics theoretical and experimental studies (4 papers), Particle Detector Development and Performance (3 papers) and Distributed and Parallel Computing Systems (1 paper). P. Vischia collaborates with scholars based in Italy, Spain and France. P. Vischia's co-authors include T. Dorigo, J. Kieseler, A. Giammanco, Atılım Güneş Baydin, P. Martínez Ruiz del Árbol, C. Ramón Álvarez, F. Ratnikov, A. Ustyuzhanin, M. Kolosova and M. Tosi and has published in prestigious journals such as Physical review. D, Machine Learning Science and Technology and Nuclear Physics News.

In The Last Decade

Co-authorship network of co-authors of P. Vischia i

Fields of papers citing papers by P. Vischia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by P. Vischia

Since Specialization
Citations

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