Massimo Riani

18 papers and 725 indexed citations i.

About

Massimo Riani is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Massimo Riani has authored 18 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 7 papers in Statistical and Nonlinear Physics and 3 papers in Artificial Intelligence. Recurrent topics in Massimo Riani’s work include Neural dynamics and brain function (10 papers), stochastic dynamics and bifurcation (7 papers) and Visual perception and processing mechanisms (6 papers). Massimo Riani is often cited by papers focused on Neural dynamics and brain function (10 papers), stochastic dynamics and bifurcation (7 papers) and Visual perception and processing mechanisms (6 papers). Massimo Riani collaborates with scholars based in Italy, United States and Spain. Massimo Riani's co-authors include Enrico Simonotto, Frank Moss, J. Twitty, Charles Seife, Mark Roberts, Michele Piana, A. Borsellino, Francesco Masulli, Marco Aiello and Walter G. Sannita and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Sensors and Actuators B Chemical.

In The Last Decade

Co-authorship network of co-authors of Massimo Riani i

Fields of papers citing papers by Massimo Riani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Riani

Since Specialization
Citations

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