Mario Molinara

1.5k total citations
73 papers, 847 citations indexed

About

Mario Molinara is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Mario Molinara has authored 73 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 14 papers in Biomedical Engineering. Recurrent topics in Mario Molinara's work include AI in cancer detection (14 papers), Water Quality Monitoring Technologies (11 papers) and Air Quality Monitoring and Forecasting (10 papers). Mario Molinara is often cited by papers focused on AI in cancer detection (14 papers), Water Quality Monitoring Technologies (11 papers) and Air Quality Monitoring and Forecasting (10 papers). Mario Molinara collaborates with scholars based in Italy, Netherlands and Spain. Mario Molinara's co-authors include Francesco Tortorella, Claudio Marrocco, Luigi Ferrigno, Alessandro Bria, Marco Laracca, A. Bernieri, G. Cerro, Francesco Fontanella, Massimo De Santo and Claudio De Stefano and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and Sensors.

In The Last Decade

Mario Molinara

68 papers receiving 803 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Molinara Italy 16 259 208 139 113 102 73 847
Jianfeng Zhao China 9 326 1.3× 244 1.2× 108 0.8× 45 0.4× 20 0.2× 29 1.3k
Grazia Lo Sciuto Italy 18 178 0.7× 106 0.5× 96 0.7× 65 0.6× 58 0.6× 83 1.1k
Maurizio Spadavecchia Italy 17 172 0.7× 165 0.8× 47 0.3× 48 0.4× 38 0.4× 60 970
Ying Zhao China 19 323 1.2× 359 1.7× 96 0.7× 72 0.6× 140 1.4× 84 1.4k
Wei Xia China 14 364 1.4× 572 2.8× 26 0.2× 221 2.0× 42 0.4× 51 1.2k
Zhaoying Liu China 17 130 0.5× 297 1.4× 40 0.3× 50 0.4× 22 0.2× 80 968
Mohammad Mustafa Taye Jordan 2 179 0.7× 104 0.5× 71 0.5× 53 0.5× 18 0.2× 7 772
Shengzhou Xu China 9 175 0.7× 286 1.4× 168 1.2× 48 0.4× 15 0.1× 22 699
Yinsheng Chen China 20 137 0.5× 63 0.3× 59 0.4× 173 1.5× 28 0.3× 75 1.2k
Xiongfei Li China 21 187 0.7× 576 2.8× 89 0.6× 29 0.3× 32 0.3× 107 1.2k

Countries citing papers authored by Mario Molinara

Since Specialization
Citations

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

Fields of papers citing papers by Mario Molinara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Molinara

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Molinara. A scholar is included among the top collaborators of Mario Molinara 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 Mario Molinara. Mario Molinara 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.
Cancelliere, Rocco, et al.. (2025). Artificial intelligence-assisted electrochemical sensors for qualitative and semi-quantitative multiplexed analyses. Digital Discovery. 4(2). 338–342. 3 indexed citations
2.
Molinara, Mario, et al.. (2024). SoC estimation on Li-ion batteries: A new EIS-based dataset for data-driven applications. Data in Brief. 57. 110947–110947. 6 indexed citations
3.
Bria, Alessandro, et al.. (2024). Transfer learning in breast mass detection and classification. Journal of Ambient Intelligence and Humanized Computing. 15(10). 3587–3602. 2 indexed citations
4.
Capriglione, Domenico, et al.. (2024). Profiling Running Applications in Connected Devices Through Side-Channel and Machine Learning Techniques. IEEE Access. 12. 170923–170935.
5.
Cerro, G., et al.. (2024). A Novel Measurement Procedure for Error Correction in Single Camera Gait Analysis. IEEE Access. 12. 158052–158064. 2 indexed citations
6.
Molinara, Mario, et al.. (2024). SENSIBUS: a Novel One Wire Protocol for Smart Sensors. 1–5.
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Marrocco, Claudio, et al.. (2023). Transformer-based mass detection in digital mammograms. Journal of Ambient Intelligence and Humanized Computing. 14(3). 2723–2737. 16 indexed citations
9.
Roitero, Kevin, Giuseppe Serra, Vincenzo Della Mea, et al.. (2023). Detection of Wastewater Pollution Through Natural Language Generation With a Low-Cost Sensing Platform. IEEE Access. 11. 50272–50284. 4 indexed citations
10.
Cerro, G., et al.. (2023). SENSIPLUS-LM: A Low-Cost EIS-Enabled Microchip Enhanced with an Open-Source Tiny Machine Learning Toolchain. Computers. 12(2). 23–23. 3 indexed citations
11.
Cerro, G., Alessandro Bria, Claudio Marrocco, et al.. (2023). An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform. Journal of King Saud University - Computer and Information Sciences. 35(1). 499–513. 9 indexed citations
12.
Bria, Alessandro, Luigi Ferrigno, Claudio Marrocco, et al.. (2021). A False Positive Reduction System For Continuous Water Quality Monitoring. CINECA IRIS Institutial research information system (University of Pisa). 311–316. 3 indexed citations
13.
Bria, Alessandro, Luigi Ferrigno, Claudio Marrocco, et al.. (2020). A Preliminary Solution for Anomaly Detection in Water Quality Monitoring. CINECA IRIS Institutial research information system (University of Pisa). 410–415. 14 indexed citations
14.
Marrocco, Claudio, Alessandro Bria, Lucas R. Borges, et al.. (2018). Mammogram denoising to improve the calcification detection performance of convolutional nets. 9699. 37–37. 2 indexed citations
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Bria, Alessandro, Claudio Marrocco, Mario Molinara, & Francesco Tortorella. (2016). An effective learning strategy for cascaded object detection. Information Sciences. 340-341. 17–26. 16 indexed citations
18.
Marrocco, Claudio, Mario Molinara, C. D'Elia, & Francesco Tortorella. (2010). A computer-aided detection system for clustered microcalcifications. Artificial Intelligence in Medicine. 50(1). 23–32. 25 indexed citations
19.
Marrocco, Claudio, Mario Molinara, & Francesco Tortorella. (2010). On Linear Combinations of Dichotomizers for Maximizing the Area Under the ROC Curve. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 41(3). 610–620. 7 indexed citations
20.
Capuano, Nicola, et al.. (2000). A multi-agent architecture for intelligent tutoring. 1–12. 14 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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