Paola Vocca

10 papers and 40 indexed citations i.

About

Paola Vocca is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Paola Vocca has authored 10 papers receiving a total of 40 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Theory and Mathematics, 4 papers in Artificial Intelligence and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Paola Vocca’s work include Complex Network Analysis Techniques (4 papers), Algorithms and Data Compression (3 papers) and graph theory and CDMA systems (3 papers). Paola Vocca is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Algorithms and Data Compression (3 papers) and graph theory and CDMA systems (3 papers). Paola Vocca collaborates with scholars based in Italy and The Netherlands. Paola Vocca's co-authors include Maurizio Talamo, Giorgio Gambosi, Gianluca Del Rossi, Giambattista Amati, Tiziana Calamoneri, Richard B. Tan, Emanuele G. Fusco and Paolo Penna and has published in prestigious journals such as SIAM Journal on Computing, Theoretical Computer Science and Multimedia Tools and Applications.

In The Last Decade

Co-authorship network of co-authors of Paola Vocca i

Fields of papers citing papers by Paola Vocca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paola Vocca

Since Specialization
Citations

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