Carmelo Pino

570 total citations
45 papers, 259 citations indexed

About

Carmelo Pino is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Carmelo Pino has authored 45 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Carmelo Pino's work include Integrated Circuits and Semiconductor Failure Analysis (5 papers), Image Retrieval and Classification Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Carmelo Pino is often cited by papers focused on Integrated Circuits and Semiconductor Failure Analysis (5 papers), Image Retrieval and Classification Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Carmelo Pino collaborates with scholars based in Italy, United States and Switzerland. Carmelo Pino's co-authors include Concetto Spampinato, Daniela Giordano, Alberto Faro, Roberto Di Salvo, Isaak Kavasidis, Francesco Maiorana, Cettina Santagati, Francesco Rundo, Simone Palazzo and Massimo Di Pietro and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Carmelo Pino

39 papers receiving 241 citations

Peers

Carmelo Pino

CVPR

CNC

Jae-Young Lee South Korea

Paola Barra Italy

Pan Hu China

Kelvin Sung United States

Shagan Sah United States

Koh Kakusho Japan

Cheng-Yuan Tang Taiwan

Lifeng Wang China

S. Athi Narayanan India

Nor Azman Ismail Malaysia

Jae-Young Lee South Korea

Carmelo Pino

107 ×1.4

CVPR

65 ×1.4

29 ×0.8

55 ×1.8

17 ×0.6

CNC

Citations per year, relative to Carmelo Pino Carmelo Pino (= 1×) peers Jae-Young Lee

Countries citing papers authored by Carmelo Pino

Since Specialization

Citations

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

Fields of papers citing papers by Carmelo Pino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmelo Pino

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

All Works

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20 of 20 papers shown

Rundo, Francesco, et al.. (2024). Intelligent Electrical Assessment of Silicon and Silicon Carbide Wafers for Power Applications in Automotive Field. 18–23.

Pino, Carmelo, Alessandro Sitta, Angelo Messina, et al.. (2023). Intelligent Traction Inverter in Next Generation Electric Vehicles: The Health Monitoring of Silicon-Carbide Power Modules. IEEE Transactions on Intelligent Vehicles. 8(12). 4734–4753. 3 indexed citations

Fiameni, Giuseppe, ‬‬‬‬‬‬Eva Sciacca, S. Riggi, et al.. (2023). Radio astronomical images object detection and segmentation: a benchmark on deep learning methods. Experimental Astronomy. 56(1). 293–331. 7 indexed citations

Rundo, Francesco, et al.. (2023). Intelligent Deep Motion Magnification Analysis in Advanced Driving Assistance Systems. 1–6.

Fazio, Francesco, et al.. (2023). Cardiac Biomarker Responses to Acute Exercise in Show Jumping Horses. Journal of Equine Veterinary Science. 128. 104882–104882. 11 indexed citations

Rundo, Francesco, et al.. (2023). Advanced Intelligent deep learning-based system for Robust Driving Assistance. 1. 1–5. 2 indexed citations

Pino, Carmelo, Francesco Rundo, Concetto Spampinato, & Sebastiano Battiato. (2023). An AI Architecture for Power MOS Rds-on-Driven Lifetime Estimation. 1–5. 2 indexed citations

Rundo, Francesco, S. Coffa, Michele Calabretta, et al.. (2022). Hybrid Deep Learning Pipeline for Advanced Electrical Wafer Defect Maps Assessment. 1–6.

Pino, Carmelo, et al.. (2021). TwinLiverNet: Predicting TACE Treatment Outcome from CT scans for Hepatocellular Carcinoma using Deep Capsule Networks. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 3039–3043. 2 indexed citations

10.

Riggi, S., Fabio Vitello, ‬‬‬‬‬‬Eva Sciacca, et al.. (2021). Astronomical source finding services for the CIRASA visual analytic platform. Astronomy and Computing. 37. 100506–100506. 3 indexed citations

11.

Palazzo, Simone, Carmelo Pino, Francesco Rundo, et al.. (2021). Exploiting structured high-level knowledge for domain-specific visual classification. Pattern Recognition. 112. 107806–107806. 5 indexed citations

12.

Pino, Carmelo, Simone Palazzo, Francesca Trenta, et al.. (2021). Interpretable Deep Model For Predicting Gene-Addicted Non-Small-Cell Lung Cancer In Ct Scans. Institutional Research Information System University of Turin (University of Turin). 891–894. 3 indexed citations

13.

Barone, Rita, Concetto Spampinato, Carmelo Pino, et al.. (2019). Online comprehension across different semantic categories in preschool children with autism spectrum disorder. PLoS ONE. 14(2). e0211802–e0211802. 5 indexed citations

14.

Pino, Carmelo & Roberto Di Salvo. (2013). A Survey of Cloud Computing Architecture and Applications in Health. Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013). 16 indexed citations

15.

Santoro, Giuseppe, Carmelo Pino, & Concetto Spampinato. (2012). A feature model configuration for multimedia applications by an OWL-based approach. Federated Conference on Computer Science and Information Systems. 263–268.

16.

Pino, Carmelo & Isaak Kavasidis. (2012). Improving mobile device interaction by eye tracking analysis. Federated Conference on Computer Science and Information Systems. 1199–1202. 10 indexed citations

17.

Giordano, Daniela, Isaak Kavasidis, Carmelo Pino, & Concetto Spampinato. (2012). Content based recommender system by using eye gaze data. 369–372. 9 indexed citations

18.

Spampinato, Concetto, Carmelo Pino, Daniela Giordano, & Rosalia Leonardi. (2012). Automatic 3D segmentation of mandible for assessment of facial asymmetry. 1–4. 9 indexed citations

19.

Pino, Carmelo & Roberto Di Salvo. (2011). A survey of semantic multimedia retrieval systems. 353–358. 4 indexed citations

20.

Salvo, Roberto Di & Carmelo Pino. (2011). Image and video processing on CUDA: state of the art and future directions. 60–66. 11 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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