Tommaso Salvatori

12 papers and 65 indexed citations i.

About

Tommaso Salvatori is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Tommaso Salvatori has authored 12 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Tommaso Salvatori’s work include Neural dynamics and brain function (6 papers), Advanced Memory and Neural Computing (4 papers) and Neural Networks and Applications (3 papers). Tommaso Salvatori is often cited by papers focused on Neural dynamics and brain function (6 papers), Advanced Memory and Neural Computing (4 papers) and Neural Networks and Applications (3 papers). Tommaso Salvatori collaborates with scholars based in United Kingdom, Austria and China. Tommaso Salvatori's co-authors include Thomas Lukasiewicz, Rafał Bogacz, Yuhang Song, Beren Millidge, Zhenghua Xu, Conor Heins, Noor Sajid, Dimitrije Marković, Karl Friston and Thomas Parr and has published in prestigious journals such as Nature Neuroscience, PLoS Computational Biology and Neural Computation.

In The Last Decade

Co-authorship network of co-authors of Tommaso Salvatori i

Fields of papers citing papers by Tommaso Salvatori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tommaso Salvatori

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025