Luca Ghelardoni

424 total citations
8 papers, 300 citations indexed

About

Luca Ghelardoni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Luca Ghelardoni has authored 8 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Luca Ghelardoni's work include Machine Learning and Algorithms (3 papers), Image and Signal Denoising Methods (2 papers) and Neural Networks and Applications (2 papers). Luca Ghelardoni is often cited by papers focused on Machine Learning and Algorithms (3 papers), Image and Signal Denoising Methods (2 papers) and Neural Networks and Applications (2 papers). Luca Ghelardoni collaborates with scholars based in Italy, Germany and Austria. Luca Ghelardoni's co-authors include Davide Anguita, Alessandro Ghio, Sandro Ridella, Luca Oneto, Andrea Ceccarelli, Giovanni Bozza, Daniele D. Caviglia and Matteo Pastorino and has published in prestigious journals such as IEEE Transactions on Smart Grid, IEEE Microwave and Wireless Components Letters and Journal of Artificial Intelligence and Soft Computing Research.

In The Last Decade

Luca Ghelardoni

8 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Ghelardoni Italy 6 166 69 58 43 32 8 300
Renzhuo Wan China 6 99 0.6× 70 1.0× 70 1.2× 40 0.9× 32 1.0× 11 304
Wendong Zheng China 9 92 0.6× 136 2.0× 78 1.3× 51 1.2× 34 1.1× 13 364
Kwangsuk Lee South Korea 7 185 1.1× 110 1.6× 36 0.6× 82 1.9× 25 0.8× 8 335
Manoharan Madhiarasan India 11 194 1.2× 156 2.3× 35 0.6× 38 0.9× 26 0.8× 27 376
Chaodong Fan China 11 146 0.9× 93 1.3× 57 1.0× 49 1.1× 88 2.8× 29 350
Zhirui Tian China 10 248 1.5× 148 2.1× 69 1.2× 25 0.6× 38 1.2× 29 400

Countries citing papers authored by Luca Ghelardoni

Since Specialization
Citations

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

Fields of papers citing papers by Luca Ghelardoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Ghelardoni

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Ghelardoni. A scholar is included among the top collaborators of Luca Ghelardoni 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 Luca Ghelardoni. Luca Ghelardoni 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.
Anguita, Davide, Luca Ghelardoni, Alessandro Ghio, & Sandro Ridella. (2013). A Survey of old and New Results for the Test Error Estimation of a Classifier. Journal of Artificial Intelligence and Soft Computing Research. 3(4). 229–242. 2 indexed citations
2.
Ghelardoni, Luca, Alessandro Ghio, & Davide Anguita. (2013). Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector Regression. IEEE Transactions on Smart Grid. 4(1). 549–556. 170 indexed citations
3.
Anguita, Davide, Luca Ghelardoni, Alessandro Ghio, Luca Oneto, & Sandro Ridella. (2012). The 'K' in K-fold Cross Validation. CINECA IRIS Institutial research information system (University of Pisa). 441–446. 93 indexed citations
4.
Anguita, Davide, Luca Ghelardoni, & Alessandro Ghio. (2012). Long-term energy load forecasting using Auto-Regressive and approximating Support Vector Regression. CINECA IRIS Institutial Research Information System (University of Genoa). 10. 842–847. 3 indexed citations
5.
Ghelardoni, Luca, Alessandro Ghio, & Davide Anguita. (2012). Smart underwater wireless sensor networks. CINECA IRIS Institutial Research Information System (University of Genoa). 13 indexed citations
6.
Ghelardoni, Luca, et al.. (2012). ALARP (A Railway Automatic Track Warning System Based on Distributed Personal Mobile Terminals). Procedia - Social and Behavioral Sciences. 48. 2081–2090. 9 indexed citations
7.
Anguita, Davide, Luca Ghelardoni, Alessandro Ghio, & Sandro Ridella. (2011). Test error bounds for classifiers: A survey of old and new results. CINECA IRIS Institutial Research Information System (University of Genoa). 8. 80–87. 5 indexed citations
8.
Bozza, Giovanni, Daniele D. Caviglia, Luca Ghelardoni, & Matteo Pastorino. (2010). Cell-Centered Finite-Volume Time-Domain Method for Conducting Media. IEEE Microwave and Wireless Components Letters. 20(9). 477–479. 5 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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