Luca Didaci

1.3k total citations
22 papers, 670 citations indexed

About

Luca Didaci is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Luca Didaci has authored 22 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Signal Processing and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Luca Didaci's work include Biometric Identification and Security (6 papers), Neural dynamics and brain function (5 papers) and EEG and Brain-Computer Interfaces (5 papers). Luca Didaci is often cited by papers focused on Biometric Identification and Security (6 papers), Neural dynamics and brain function (5 papers) and EEG and Brain-Computer Interfaces (5 papers). Luca Didaci collaborates with scholars based in Italy, Netherlands and Canada. Luca Didaci's co-authors include Fabio Roli, Gian Luca Marcialis, Giorgio Giacinto, Matteo Fraschini, Giorgio Fumera, Matteo Demuru, Battista Biggio, Arjan Hillebrand, Paolo Russu and Giuseppe Sergioli and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Pattern Recognition.

In The Last Decade

Luca Didaci

19 papers receiving 644 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 Didaci Italy 13 304 217 203 140 129 22 670
Supriya Supriya Australia 7 175 0.6× 150 0.7× 298 1.5× 76 0.5× 84 0.7× 14 653
Weiming Yang China 8 95 0.3× 234 1.1× 436 2.1× 321 2.3× 157 1.2× 16 1.1k
Jiajun Lin China 15 193 0.6× 88 0.4× 74 0.4× 141 1.0× 38 0.3× 85 622
Sunil Pranit Lal Fiji 16 125 0.4× 87 0.4× 197 1.0× 143 1.0× 139 1.1× 39 831
Monalisa Sarma India 12 115 0.4× 64 0.3× 94 0.5× 78 0.6× 177 1.4× 69 503
Alireza Sepas‐Moghaddam Iran 14 198 0.7× 113 0.5× 115 0.6× 39 0.3× 25 0.2× 36 631
Emmanuel Jammeh United Kingdom 15 176 0.6× 137 0.6× 157 0.8× 194 1.4× 16 0.1× 37 836
Malu Zhang China 17 503 1.7× 138 0.6× 665 3.3× 25 0.2× 38 0.3× 82 1.2k
S.D. Katebi Iran 13 303 1.0× 49 0.2× 161 0.8× 36 0.3× 61 0.5× 31 629
Sandeep Dwarkanath Pande India 15 145 0.5× 33 0.2× 96 0.5× 103 0.7× 73 0.6× 45 612

Countries citing papers authored by Luca Didaci

Since Specialization
Citations

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

Fields of papers citing papers by Luca Didaci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Didaci

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Didaci. A scholar is included among the top collaborators of Luca Didaci 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 Didaci. Luca Didaci 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.
Faa, Gavino, Pina Ziranu, Matteo Fraschini, et al.. (2025). Generative intelligence in precision oncology: Priorities in informatics engineering, pathology and oncology. 5(3). 130–130.
2.
Faa, Gavino, Massimo Castagnola, Luca Didaci, et al.. (2024). The Quest for the Application of Artificial Intelligence to Whole Slide Imaging: Unique Prospective from New Advanced Tools. Algorithms. 17(6). 254–254. 4 indexed citations
3.
Didaci, Luca, et al.. (2024). How Time Window Influences Biometrics Performance: An EEG-Based Fingerprint Connectivity Study. SHILAP Revista de lepidopterología. 5(3). 597–604.
4.
Faa, Gavino, Matteo Fraschini, Luca Didaci, et al.. (2024). “Artificial histology” in colonic Neoplasia: A critical approach. Digestive and Liver Disease. 57(3). 663–668.
5.
Mannaro, Katiuscia, Alessandro Fanti, Matteo Bruno Lodi, et al.. (2022). A Robust SVM Color-Based Food Segmentation Algorithm for the Production Process of a Traditional Carasau Bread. IEEE Access. 10. 15359–15377. 7 indexed citations
6.
Fraschini, Matteo, et al.. (2019). Robustness of functional connectivity metrics for EEG-based personal identification over task-induced intra-class and inter-class variations. Pattern Recognition Letters. 125. 49–54. 43 indexed citations
7.
Didaci, Luca, et al.. (2018). Using Diversity for Classifier Ensemble Pruning: An Empirical Investigation. UNICA IRIS Institutional Research Information System (University of Cagliari). 29(1&2). 25–39. 8 indexed citations
8.
Didaci, Luca, et al.. (2017). A parameter randomization approach for constructing classifier ensembles. Pattern Recognition. 69. 1–13. 12 indexed citations
9.
Sergioli, Giuseppe, et al.. (2017). A quantum-inspired version of the nearest mean classifier. Soft Computing. 22(3). 691–705. 19 indexed citations
10.
Fraschini, Matteo, et al.. (2016). Experimental results on multi-modal fusion of EEG-based personal verification algorithms. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–6. 13 indexed citations
11.
Demuru, Matteo, et al.. (2016). Minimum spanning tree and k -core decomposition as measure of subject-specific EEG traits. Biomedical Physics & Engineering Express. 2(1). 17001–17001. 29 indexed citations
12.
Biggio, Battista, Giorgio Fumera, Paolo Russu, Luca Didaci, & Fabio Roli. (2015). Adversarial Biometric Recognition : A review on biometric system security from the adversarial machine-learning perspective. IEEE Signal Processing Magazine. 32(5). 31–41. 71 indexed citations
13.
Fraschini, Matteo, Arjan Hillebrand, Matteo Demuru, Luca Didaci, & Gian Luca Marcialis. (2014). An EEG-Based Biometric System Using Eigenvector Centrality in Resting State Brain Networks. IEEE Signal Processing Letters. 22(6). 666–670. 122 indexed citations
14.
Didaci, Luca, Gian Luca Marcialis, & Fabio Roli. (2013). Analysis of unsupervised template update in biometric recognition systems. Pattern Recognition Letters. 37. 151–160. 12 indexed citations
15.
Marcialis, Gian Luca, Fabio Roli, & Luca Didaci. (2013). Multimodal fingerprint verification by score-level fusion: An experimental investigation. Journal of Intelligent & Fuzzy Systems. 24(1). 51–60. 4 indexed citations
16.
Didaci, Luca & Fabio Roli. (2012). A Bayesian analysis of co-training algorithm with insufficient views. UNICA IRIS Institutional Research Information System (University of Cagliari). 17. 1108–1112. 1 indexed citations
17.
Marcialis, Gian Luca, Luca Didaci, Alessandro Pisano, Éric Granger, & Fabio Roli. (2012). Why template self-update should work in biometric authentication systems?. UNICA IRIS Institutional Research Information System (University of Cagliari). 1086–1091. 5 indexed citations
18.
Marcialis, Gian Luca, Fabio Roli, & Luca Didaci. (2009). Personal identity verification by serial fusion of fingerprint and face matchers. Pattern Recognition. 42(11). 2807–2817. 36 indexed citations
19.
Didaci, Luca, Giorgio Giacinto, Fabio Roli, & Gian Luca Marcialis. (2005). A study on the performances of dynamic classifier selection based on local accuracy estimation. Pattern Recognition. 38(11). 2188–2191. 88 indexed citations
20.
Didaci, Luca, Giorgio Giacinto, & Fabio Roli. (2002). Ensemble learning for Intrusion Detection in Computer Networks. UNICA IRIS Institutional Research Information System (University of Cagliari). 24 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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