Ciro Mennella

823 total citations · 1 hit paper
8 papers, 375 citations indexed

About

Ciro Mennella is a scholar working on Rehabilitation, Computer Vision and Pattern Recognition and Health Informatics. According to data from OpenAlex, Ciro Mennella has authored 8 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Rehabilitation, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Health Informatics. Recurrent topics in Ciro Mennella's work include Stroke Rehabilitation and Recovery (5 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Medical Imaging and Analysis (2 papers). Ciro Mennella is often cited by papers focused on Stroke Rehabilitation and Recovery (5 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Medical Imaging and Analysis (2 papers). Ciro Mennella collaborates with scholars based in Italy. Ciro Mennella's co-authors include Umberto Maniscalco, Massimo Esposito, Giuseppe De Pietro, Antonio Novellino, Federica Viti and Susanna Alloisio and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Ciro Mennella

7 papers receiving 355 citations

Hit Papers

Ethical and regulatory challenges of AI technologies in h... 2024 2026 2025 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ciro Mennella Italy 5 167 81 65 54 41 8 375
Sahar Borna United States 12 178 1.1× 59 0.7× 43 0.7× 82 1.5× 38 0.9× 47 398
Songxiang Liu China 11 115 0.7× 88 1.1× 103 1.6× 46 0.9× 23 0.6× 23 401
Abdullah H. Alreedy Saudi Arabia 4 195 1.2× 91 1.1× 36 0.6× 77 1.4× 43 1.0× 9 363
Afnan Almuhanna Saudi Arabia 5 212 1.3× 118 1.5× 40 0.6× 113 2.1× 45 1.1× 27 434
Irfan Ahmed United Kingdom 6 112 0.7× 76 0.9× 22 0.3× 86 1.6× 34 0.8× 16 366
Pengran Liu China 12 143 0.9× 101 1.2× 135 2.1× 46 0.9× 24 0.6× 34 475
Dana Moukheiber United States 8 174 1.0× 94 1.2× 44 0.7× 138 2.6× 34 0.8× 15 432
Natalia Norori United Kingdom 4 198 1.2× 93 1.1× 40 0.6× 103 1.9× 29 0.7× 8 421
Nariman Noorbakhsh-Sabet United States 7 141 0.8× 75 0.9× 25 0.4× 80 1.5× 62 1.5× 8 388
Florence M. Aellen Switzerland 4 199 1.2× 93 1.1× 40 0.6× 108 2.0× 29 0.7× 9 442

Countries citing papers authored by Ciro Mennella

Since Specialization
Citations

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

Fields of papers citing papers by Ciro Mennella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ciro Mennella

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

All Works

8 of 8 papers shown
1.
Mennella, Ciro, Umberto Maniscalco, Giuseppe De Pietro, & Massimo Esposito. (2025). Advancing AI-driven surveillance systems in hospital: A fine-grained instance segmentation dataset for accurate in-bed patient monitoring. Computers in Biology and Medicine. 195. 110550–110550.
2.
Mennella, Ciro, Umberto Maniscalco, Giuseppe De Pietro, & Massimo Esposito. (2024). Ethical and regulatory challenges of AI technologies in healthcare: A narrative review. Heliyon. 10(4). e26297–e26297. 314 indexed citations breakdown →
3.
Mennella, Ciro, Umberto Maniscalco, Giuseppe De Pietro, & Massimo Esposito. (2024). Modeling rehabilitation dataset to implement effective AI assistive systems. SHILAP Revista de lepidopterología. 4(1). 1 indexed citations
4.
Mennella, Ciro, Massimo Esposito, Giuseppe De Pietro, & Umberto Maniscalco. (2024). Promoting fairness in activity recognition algorithms for patient’s monitoring and evaluation systems in healthcare. Computers in Biology and Medicine. 179. 108826–108826. 1 indexed citations
5.
Mennella, Ciro, Umberto Maniscalco, Giuseppe De Pietro, & Massimo Esposito. (2023). Generating a novel synthetic dataset for rehabilitation exercises using pose-guided conditioned diffusion models: A quantitative and qualitative evaluation. Computers in Biology and Medicine. 167. 107665–107665. 7 indexed citations
6.
Mennella, Ciro, Umberto Maniscalco, Giuseppe De Pietro, & Massimo Esposito. (2023). A deep learning system to monitor and assess rehabilitation exercises in home-based remote and unsupervised conditions. Computers in Biology and Medicine. 166. 107485–107485. 18 indexed citations
7.
Mennella, Ciro, Umberto Maniscalco, Giuseppe De Pietro, & Massimo Esposito. (2023). The Role of Artificial Intelligence in Future Rehabilitation Services: A Systematic Literature Review. IEEE Access. 11. 11024–11043. 27 indexed citations
8.
Mennella, Ciro, Susanna Alloisio, Antonio Novellino, & Federica Viti. (2021). Characteristics and Applications of Technology-Aided Hand Functional Assessment: A Systematic Review. Sensors. 22(1). 199–199. 7 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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