Davide Maltoni

16.6k total citations · 6 hit papers
116 papers, 8.9k citations indexed

About

Davide Maltoni is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Davide Maltoni has authored 116 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Computer Vision and Pattern Recognition, 67 papers in Signal Processing and 30 papers in Artificial Intelligence. Recurrent topics in Davide Maltoni's work include Biometric Identification and Security (59 papers), Face recognition and analysis (25 papers) and Face and Expression Recognition (21 papers). Davide Maltoni is often cited by papers focused on Biometric Identification and Security (59 papers), Face recognition and analysis (25 papers) and Face and Expression Recognition (21 papers). Davide Maltoni collaborates with scholars based in Italy, United States and Spain. Davide Maltoni's co-authors include Dario Maio, Raffaele Cappelli, Salil Prabhakar, Anil K. Jain, Anil Jain, Matteo Ferrara, James L. Wayman, Annalisa Franco, Vincenzo Lomonaco and Alessandra Lumini and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Access.

In The Last Decade

Davide Maltoni

109 papers receiving 8.2k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Handbook of Fingerprint Recognition

2003 1.9k citations Davide Maltoni, Dario Maio et al. profile →
Handbook of Fingerprint Recognition

2009 1.4k citations Davide Maltoni, Dario Maio et al. profile →
FVC2000: fingerprint verification competition

2002 519 citations Dario Maio, Davide Maltoni et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
FVC2002: Second Fingerprint Verification Competition

2003 486 citations Dario Maio, Davide Maltoni et al. profile →
Minutia Cylinder-Code: A New Representation and Matching Technique for Fingerprint Recognition

2010 449 citations Raffaele Cappelli, Matteo Ferrara et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Continual Learning for Robotics: Definition, Framework, Learning\n Strategies, Opportunities and Challenges

2019 288 citations Timothée Lesort, Vincenzo Lomonaco et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Davide Maltoni Italy	34	7.0k	5.5k	3.1k	2.0k	974	116	8.9k
Dario Maio Italy	34	6.0k 0.9×	4.4k 0.8×	2.8k 0.9×	1.7k 0.9×	714 0.7×	117	7.9k
Sharath Pankanti United States	36	5.2k 0.7×	4.8k 0.9×	3.4k 1.1×	753 0.4×	924 0.9×	103	8.2k
Ruud M. Bolle United States	35	5.0k 0.7×	5.0k 0.9×	3.1k 1.0×	802 0.4×	444 0.5×	87	7.2k
S. Prabhakar United States	12	5.1k 0.7×	3.6k 0.7×	3.1k 1.0×	784 0.4×	454 0.5×	17	6.4k
Nalini Ratha United States	33	4.7k 0.7×	4.0k 0.7×	2.9k 0.9×	624 0.3×	776 0.8×	127	6.1k
Christoph Busch Germany	45	5.8k 0.8×	6.2k 1.1×	2.8k 0.9×	597 0.3×	917 0.9×	572	8.9k
Julián Fiérrez Spain	46	4.4k 0.6×	5.1k 0.9×	2.6k 0.8×	630 0.3×	1.5k 1.5×	270	7.8k
Salil Prabhakar United States	12	3.5k 0.5×	2.4k 0.4×	1.6k 0.5×	965 0.5×	199 0.2×	15	4.1k
Richa Singh India	48	4.0k 0.6×	4.9k 0.9×	1.2k 0.4×	528 0.3×	994 1.0×	312	7.0k
Mayank Vatsa India	47	3.9k 0.6×	4.8k 0.9×	1.2k 0.4×	527 0.3×	981 1.0×	307	6.8k

Countries citing papers authored by Davide Maltoni

Since Specialization

Citations

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

Fields of papers citing papers by Davide Maltoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Maltoni

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Maltoni, Davide, et al.. (2024). Optimizing Data Flow in Binary Neural Networks. Sensors. 24(15). 4780–4780. 3 indexed citations

Borghi, Guido, et al.. (2024). ONOT: a High-Quality ICAO-compliant Synthetic Mugshot Dataset. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–10. 4 indexed citations

Graffieti, Gabriele, Davide Maltoni, Lorenzo Pellegrini, & Vincenzo Lomonaco. (2023). Generative negative replay for continual learning. Neural Networks. 162. 369–383. 12 indexed citations

Lomonaco, Vincenzo, Lorenzo Pellegrini, Pau Rodríguez, et al.. (2022). CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. CINECA IRIS Institutial research information system (University of Pisa). 23 indexed citations

Pini, Stefano, Guido Borghi, Roberto Vezzani, Davide Maltoni, & Rita Cucchiara. (2021). A Systematic Comparison of Depth Map Representations for Face Recognition. Sensors. 21(3). 944–944. 15 indexed citations

Pellegrini, Lorenzo, Gabriele Graffieti, Vincenzo Lomonaco, & Davide Maltoni. (2020). Latent replay for real-time continual learning. CINECA IRIS Institutial research information system (University of Pisa). 72 indexed citations

Lomonaco, Vincenzo, Davide Maltoni, & Lorenzo Pellegrini. (2020). Rehearsal-free continual learning over small Non-I.I.D. batches. CINECA IRIS Institutial research information system (University of Pisa). 31 indexed citations

Rusci, Manuele, Alessandro Capotondi, Francesco Conti, et al.. (2020). Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node. CINECA IRIS Institutial research information system (University of Pisa). 11 indexed citations

Lomonaco, Vincenzo, et al.. (2020). Continual reinforcement learning in 3D non-stationary environments. CINECA IRIS Institutial research information system (University of Pisa). 15 indexed citations

10.

Lesort, Timothée, Vincenzo Lomonaco, Andrei Stoian, et al.. (2019). Continual Learning for Robotics: Definition, Framework, Learning\n Strategies, Opportunities and Challenges. arXiv (Cornell University). 288 indexed citations breakdown →

11.

Maltoni, Davide & Vincenzo Lomonaco. (2019). Continuous learning in single-incremental-task scenarios. CINECA IRIS Institutial research information system (University of Pisa). 184 indexed citations

12.

Lesort, Timothée, Vincenzo Lomonaco, Andrei Stoian, et al.. (2019). Continual Learning for Robotics. arXiv (Cornell University). 10 indexed citations

13.

Ferrara, Matteo, Annalisa Franco, & Davide Maltoni. (2019). Decoupling texture blending and shape warping in face morphing. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 25–33. 11 indexed citations

14.

Maltoni, Davide & Vincenzo Lomonaco. (2016). Semi-supervised tuning from temporal coherence. CINECA IRIS Institutial research information system (University of Pisa). 6 indexed citations

15.

Ferrara, Matteo, Annalisa Franco, & Davide Maltoni. (2014). The magic passport. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–7. 168 indexed citations

16.

Cappelli, Raffaele & Davide Maltoni. (2008). On the Spatial Distribution of Fingerprint Singularities. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(4). 742–748. 16 indexed citations

17.

Maltoni, Davide. (2008). A Tutorial on Fingerprint Recognition 1. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1 indexed citations

18.

Ferrara, Matteo, Annalisa Franco, & Davide Maltoni. (2007). Fingerprint scanner focusing estimation by Top Sharpening Index. 223–228. 1 indexed citations

19.

Lumini, Alessandra, Dario Maio, & Davide Maltoni. (1999). Inexact graph matching for fingerprint classification. 231–248. 7 indexed citations

20.

Lumini, Alessandra, Dario Maio, & Davide Maltoni. (1997). Strategie per il Retrieval di Impronte Digitali.. SEBD. 47–66.

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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