Luca Ghiani

1.4k total citations
23 papers, 826 citations indexed

About

Luca Ghiani is a scholar working on Signal Processing, Safety Research and Plant Science. According to data from OpenAlex, Luca Ghiani has authored 23 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Signal Processing, 11 papers in Safety Research and 8 papers in Plant Science. Recurrent topics in Luca Ghiani's work include Biometric Identification and Security (14 papers), Forensic Fingerprint Detection Methods (11 papers) and Forensic and Genetic Research (4 papers). Luca Ghiani is often cited by papers focused on Biometric Identification and Security (14 papers), Forensic Fingerprint Detection Methods (11 papers) and Forensic and Genetic Research (4 papers). Luca Ghiani collaborates with scholars based in Italy, United States and Finland. Luca Ghiani's co-authors include Gian Luca Marcialis, Fabio Roli, David Yambay, Stephanie Schuckers, Abdenour Hadid, Filippo Gambella, Luca Mercenaro, Maria Caria, Antonio Pazzona and Francesca Palumbo and has published in prestigious journals such as Sensors, Remote Sensing and Computers and Electronics in Agriculture.

In The Last Decade

Luca Ghiani

21 papers receiving 797 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 Ghiani Italy 13 689 395 383 172 163 23 826
Jinyu Zuo United States 11 462 0.7× 307 0.8× 74 0.2× 223 1.3× 58 0.4× 22 614
Yingzi Du United States 18 583 0.8× 399 1.0× 83 0.2× 256 1.5× 84 0.5× 48 726
Jen‐Chun Lee Taiwan 11 324 0.5× 446 1.1× 44 0.1× 94 0.5× 75 0.5× 25 674
Yousef Atoum United States 7 264 0.4× 334 0.8× 42 0.1× 89 0.5× 12 0.1× 7 596
Qinghan Xiao Canada 9 144 0.2× 139 0.4× 30 0.1× 80 0.5× 6 0.0× 19 457
Chin-Chuan Han Taiwan 6 301 0.4× 234 0.6× 30 0.1× 113 0.7× 68 0.4× 8 385
Guang Huo China 9 144 0.2× 109 0.3× 26 0.1× 37 0.2× 18 0.1× 28 264
Wei Shu China 6 409 0.6× 288 0.7× 48 0.1× 129 0.8× 88 0.5× 11 449
Priti Sehgal India 9 108 0.2× 157 0.4× 22 0.1× 56 0.3× 7 0.0× 24 387
Jingting Lu China 8 281 0.4× 352 0.9× 23 0.1× 45 0.3× 62 0.4× 10 448

Countries citing papers authored by Luca Ghiani

Since Specialization
Citations

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

Fields of papers citing papers by Luca Ghiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Ghiani

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Ghiani. A scholar is included among the top collaborators of Luca Ghiani 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 Ghiani. Luca Ghiani 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.
Ghiani, Luca, et al.. (2025). Automated detection of downy mildew and powdery mildew symptoms for vineyard disease management. Smart Agricultural Technology. 11. 100877–100877.
2.
Marrone, Stefano, Giuseppe Cringoli, Laura Rinaldi, et al.. (2024). Automating parasite egg detection: insights from the first AI-KFM challenge. Frontiers in Artificial Intelligence. 7. 1325219–1325219. 3 indexed citations
3.
Psiroukis, Vasilis, et al.. (2024). Unmanned aerial system plant protection products spraying performance evaluation on a vineyard. Precision Agriculture. 25(4). 2082–2112. 13 indexed citations
4.
Ghiani, Luca, et al.. (2023). Monitoring Pontederia crassipes Mart. and Hydrocotyle ranunculoides L.f. invasion on a Mediterranean island using multi-temporal satellite images. Management of Biological Invasions. 14(2). 221–238. 3 indexed citations
5.
Ghiani, Luca, et al.. (2023). Artichoke deep learning detection network for site-specific agrochemicals UAS spraying. Computers and Electronics in Agriculture. 213. 108185–108185. 12 indexed citations
6.
Ghiani, Luca, et al.. (2022). Artichoke Deep Learning Detection Network for Site-Specific Agrochemicals Uas Spraying. SSRN Electronic Journal. 2 indexed citations
7.
Gambella, Filippo, et al.. (2021). Advances in Unmanned Aerial System Remote Sensing for Precision Viticulture. Sensors. 21(3). 956–956. 54 indexed citations
8.
Ghiani, Luca, et al.. (2021). Integrating UAVs and Canopy Height Models in Vineyard Management: A Time-Space Approach. Remote Sensing. 14(1). 130–130. 7 indexed citations
9.
Orrù, Giulia, et al.. (2018). LivDet 2017 fingerprint liveness detection competition 2017. UNICA IRIS Institutional Research Information System (University of Cagliari). 39 indexed citations
10.
Marasco, Emanuela, et al.. (2018). A Look At Non-Cooperative Presentation Attacks in Fingerprint Systems. UNICA IRIS Institutional Research Information System (University of Cagliari). 50. 1–6. 5 indexed citations
11.
Ghiani, Luca, Gian Luca Marcialis, & Fabio Roli. (2017). Fingerprint presentation attacks detection based on the user-specific effect. UNICA IRIS Institutional Research Information System (University of Cagliari). 352–358. 4 indexed citations
12.
Ghiani, Luca, et al.. (2017). On the Interoperability of Capture Devices in Fingerprint Presentation Attacks Detection.. UNICA IRIS Institutional Research Information System (University of Cagliari). 66–75. 4 indexed citations
13.
Ghiani, Luca, et al.. (2016). Review of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015. Image and Vision Computing. 58. 110–128. 71 indexed citations
14.
Ghiani, Luca, Abdenour Hadid, Gian Luca Marcialis, & Fabio Roli. (2016). Fingerprint liveness detection using local texture features. IET Biometrics. 6(3). 224–231. 30 indexed citations
15.
Ghiani, Luca, et al.. (2016). User-specific effects in Fingerprint Presentation Attacks Detection: Insights for future research. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–6. 4 indexed citations
16.
Ghiani, Luca, et al.. (2015). LivDet 2015 fingerprint liveness detection competition 2015. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–6. 89 indexed citations
17.
Ghiani, Luca, Abdenour Hadid, Gian Luca Marcialis, & Fabio Roli. (2013). Fingerprint Liveness Detection using Binarized Statistical Image Features. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–6. 94 indexed citations
18.
Ghiani, Luca, Gian Luca Marcialis, & Fabio Roli. (2012). Fingerprint liveness detection by local phase quantization. UNICA IRIS Institutional Research Information System (University of Cagliari). 86 indexed citations
19.
Ghiani, Luca, Gian Luca Marcialis, & Fabio Roli. (2012). Experimental results on the feature-level fusion of multiple fingerprint liveness detection algorithms. UNICA IRIS Institutional Research Information System (University of Cagliari). 157–164. 14 indexed citations
20.
Yambay, David, et al.. (2012). LivDet 2011 — Fingerprint liveness detection competition 2011. UNICA IRIS Institutional Research Information System (University of Cagliari). 208–215. 119 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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