Maria Mannone

460 total citations
46 papers, 163 citations indexed

About

Maria Mannone is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Maria Mannone has authored 46 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 15 papers in Cognitive Neuroscience and 11 papers in Artificial Intelligence. Recurrent topics in Maria Mannone's work include Music Technology and Sound Studies (15 papers), Neural dynamics and brain function (5 papers) and Functional Brain Connectivity Studies (5 papers). Maria Mannone is often cited by papers focused on Music Technology and Sound Studies (15 papers), Neural dynamics and brain function (5 papers) and Functional Brain Connectivity Studies (5 papers). Maria Mannone collaborates with scholars based in Italy, United States and Germany. Maria Mannone's co-authors include Valeria Seidita, Antonio Chella, Guerino Mazzola, Rosario Lo Franco, Giuseppe Compagno, Peppino Fazio, Norbert Marwan, Yan Pang, Peter beim Graben and Giovanni Pilato and has published in prestigious journals such as SHILAP Revista de lepidopterología, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Robotics and Autonomous Systems.

In The Last Decade

Maria Mannone

37 papers receiving 156 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maria Mannone Italy 7 54 50 43 22 21 46 163
Yun-Chen Lo Taiwan 7 78 1.4× 11 0.2× 47 1.1× 6 0.3× 6 0.3× 18 356
Yujia Wang China 9 64 1.2× 26 0.5× 122 2.8× 3 0.1× 20 1.0× 37 251
Pamela McCauley United States 8 25 0.5× 10 0.2× 68 1.6× 15 0.7× 8 0.4× 11 205
Brian Crafton United States 11 64 1.2× 18 0.4× 25 0.6× 5 0.2× 4 0.2× 21 292
Pravin Mane India 6 34 0.6× 16 0.3× 17 0.4× 6 0.3× 3 0.1× 18 430
Giovanni E. Pazienza Hungary 8 53 1.0× 51 1.0× 13 0.3× 6 0.3× 3 0.1× 34 244
Zhaohui Che China 10 54 1.0× 46 0.9× 138 3.2× 3 0.1× 5 0.2× 18 219
Tai-Hao Wen Taiwan 8 74 1.4× 5 0.1× 30 0.7× 4 0.2× 7 0.3× 12 343
Sally Adee United States 6 104 1.9× 29 0.6× 7 0.2× 5 0.2× 4 0.2× 40 360
Rick Amerson United States 7 35 0.6× 29 0.6× 12 0.3× 19 0.9× 2 0.1× 12 306

Countries citing papers authored by Maria Mannone

Since Specialization
Citations

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

Fields of papers citing papers by Maria Mannone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Mannone

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Mannone. A scholar is included among the top collaborators of Maria Mannone 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 Maria Mannone. Maria Mannone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mannone, Maria, Norbert Marwan, Peppino Fazio, & Patrizia Ribino. (2025). K-operator as a predictor for Alzheimer-Perusini’s disease. Procedia Computer Science. 256. 731–738. 1 indexed citations
2.
Mannone, Maria, Valeria Seidita, & Antonio Chella. (2025). Quantum computing for swarm robotics: a local-to-global approach. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 383(2289). 20240139–20240139. 2 indexed citations
3.
Ribino, Patrizia, Maria Mannone, Claudia Di Napoli, et al.. (2025). Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clustering. BioData Mining. 18(1). 64–64.
4.
Mannone, Maria, et al.. (2025). Sketching a Space of Brain States. Neuroinformatics. 23(3). 45–45. 1 indexed citations
5.
Fazio, Salvatore De, Patrizia Ribino, Francesca Gasparini, et al.. (2025). K-operator for Modelling Neurodegeneration: Simulations, fMRI Application, Eigenvalue Analysis and Recurrence Plots. Journal of Medical Systems. 49(1). 144–144.
6.
Ribino, Patrizia, et al.. (2024). Clustering of longitudinal Clinical Dementia Rating data to identify predictors of Alzheimer's disease progression. Procedia Computer Science. 251. 326–333.
7.
Mannone, Maria, et al.. (2024). On disease and healing: a theoretical sketch. Frontiers in Applied Mathematics and Statistics. 10. 2 indexed citations
8.
Wilhelmi, Miguel R., et al.. (2024). Assessment of mathematical learning in a musical composition workshop applying tools from the onto-semiotic approach. Bolema Boletim de Educação Matemática. 38.
9.
Mannone, Maria, Antonio Chella, Giovanni Pilato, et al.. (2024). Modeling Robotic Thinking and Creativity: A Classic–Quantum Dialogue. Mathematics. 12(5). 642–642. 2 indexed citations
10.
Fazio, Peppino, et al.. (2024). An Overview of a New Statistical Non-Intrusive Load Monitoring (NILM) Analysis and Recognition Approach for Domestic Environments: DENARDO. ARCA (Università Ca' Foscari Venezia). 465–469. 1 indexed citations
11.
Mannone, Maria, Peppino Fazio, & Norbert Marwan. (2024). Modeling a neurological disorder as the result of an operator acting on the brain: A first sketch based on network channel modeling. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(5). 7 indexed citations
12.
Mannone, Maria, Norbert Marwan, Peppino Fazio, & Patrizia Ribino. (2024). Limbic and cerebellar effects in Alzheimer-Perusini’s disease: A physics-inspired approach. Biomedical Signal Processing and Control. 103. 107355–107355. 2 indexed citations
13.
Mannone, Maria, et al.. (2023). Exploring Heterogeneity with Category and Cluster Analyses for Mixed Data. SHILAP Revista de lepidopterología. 6(3). 747–762. 3 indexed citations
14.
Chella, Antonio, Salvatore Gaglio, Maria Mannone, et al.. (2023). Quantum planning for swarm robotics. Robotics and Autonomous Systems. 161. 104362–104362. 16 indexed citations
15.
Mannone, Maria, Valeria Seidita, & Antonio Chella. (2023). The Sound of Swarm. Auditory Description of Swarm Robotic Movements. ACM Transactions on Human-Robot Interaction. 12(4). 1–27. 1 indexed citations
16.
Mannone, Maria, Valeria Seidita, & Antonio Chella. (2023). Modeling and designing a robotic swarm: A quantum computing approach. Swarm and Evolutionary Computation. 79. 101297–101297. 25 indexed citations
17.
Mannone, Maria, Valeria Seidita, & Antonio Chella. (2022). Categories, Quantum Computing, and Swarm Robotics: A Case Study. Mathematics. 10(3). 372–372. 12 indexed citations
18.
Mannone, Maria, et al.. (2022). Color and Timbre Gestures: An Approach with Bicategories and Bigroupoids. Mathematics. 10(4). 663–663. 1 indexed citations
19.
Rocchesso, Davide & Maria Mannone. (2020). A quantum vocal theory of sound. ARCA (Università Ca' Foscari Venezia). 4 indexed citations
20.
Mazzola, Guerino & Maria Mannone. (2014). Hegel’s Conceptual Group Action on Creative Dynamics in Music. SHILAP Revista de lepidopterología. 1 indexed citations

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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