P. M. Camerini

18 papers and 345 indexed citations i.

About

P. M. Camerini is a scholar working on Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Signal Processing. According to data from OpenAlex, P. M. Camerini has authored 18 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 6 papers in Industrial and Manufacturing Engineering and 6 papers in Signal Processing. Recurrent topics in P. M. Camerini’s work include Advanced Graph Theory Research (10 papers), Combinatorial Optimization and Complexity Theory (8 papers) and Data Management and Algorithms (6 papers). P. M. Camerini is often cited by papers focused on Advanced Graph Theory Research (10 papers), Combinatorial Optimization and Complexity Theory (8 papers) and Data Management and Algorithms (6 papers). P. M. Camerini collaborates with scholars based in Italy. P. M. Camerini's co-authors include Francesco Maffioli, Giulia Galbiati, L. Fratta, Horst W. Hamacher, Carlo Vercellis, Paolo Toth and Silvano Martello and has published in prestigious journals such as European Journal of Operational Research, Mathematical Programming and Annals of Operations Research.

In The Last Decade

Co-authorship network of co-authors of P. M. Camerini i

Fields of papers citing papers by P. M. Camerini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by P. M. Camerini

Since Specialization
Citations

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