Nadia Mammone

153 total papers · 3.6k total citations
84 papers, 2.5k citations indexed

About

Nadia Mammone is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Nadia Mammone has authored 84 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Cognitive Neuroscience, 23 papers in Signal Processing and 14 papers in Artificial Intelligence. Recurrent topics in Nadia Mammone's work include EEG and Brain-Computer Interfaces (57 papers), Neural dynamics and brain function (29 papers) and Functional Brain Connectivity Studies (25 papers). Nadia Mammone is often cited by papers focused on EEG and Brain-Computer Interfaces (57 papers), Neural dynamics and brain function (29 papers) and Functional Brain Connectivity Studies (25 papers). Nadia Mammone collaborates with scholars based in Italy, United Kingdom and United States. Nadia Mammone's co-authors include Francesco Carlo Morabito, Cosimo Ieracitano, Amir Hussain, Fabio La Foresta, Alessia Bramanti, Hojjat Adeli, Silvia Marino, Simona De Salvo, Lilla Bonanno and Mario Versaci and has published in prestigious journals such as IEEE Access, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Nadia Mammone

78 papers receiving 2.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nadia Mammone 1.8k 573 443 339 267 84 2.5k
N. Sriraam 1.7k 0.9× 1.0k 1.8× 540 1.2× 422 1.2× 117 0.4× 138 2.6k
César Teixeira 1.5k 0.8× 558 1.0× 311 0.7× 295 0.9× 114 0.4× 126 2.1k
Katarzyna J. Blinowska 3.5k 2.0× 708 1.2× 346 0.8× 383 1.1× 193 0.7× 119 4.5k
Alexandros T. Tzallas 1.9k 1.0× 972 1.7× 584 1.3× 606 1.8× 172 0.6× 171 3.8k
Boreom Lee 1.2k 0.7× 257 0.4× 457 1.0× 386 1.1× 233 0.9× 89 2.6k
Jie Xiang 1.8k 1.0× 334 0.6× 288 0.7× 271 0.8× 191 0.7× 139 2.6k
Siuly Siuly 3.1k 1.7× 1.2k 2.0× 810 1.8× 479 1.4× 262 1.0× 91 3.8k
Tapan Kumar Gandhi 1.6k 0.9× 551 1.0× 226 0.5× 580 1.7× 313 1.2× 179 3.3k
Mehran Ahmadlou 2.2k 1.2× 417 0.7× 401 0.9× 215 0.6× 102 0.4× 36 2.9k
Weidong Zhou 2.3k 1.3× 1.3k 2.3× 542 1.2× 384 1.1× 220 0.8× 113 3.0k

Countries citing papers authored by Nadia Mammone

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Mammone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Mammone

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Mammone. A scholar is included among the top collaborators of Nadia Mammone based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nadia Mammone. Nadia Mammone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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
2026