Matteo Matteucci

7.0k total citations · 2 hit papers
246 papers, 4.0k citations indexed

About

Matteo Matteucci is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Matteo Matteucci has authored 246 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 60 papers in Computer Vision and Pattern Recognition and 38 papers in Electrical and Electronic Engineering. Recurrent topics in Matteo Matteucci's work include Robotics and Sensor-Based Localization (32 papers), Autonomous Vehicle Technology and Safety (17 papers) and Robotic Path Planning Algorithms (17 papers). Matteo Matteucci is often cited by papers focused on Robotics and Sensor-Based Localization (32 papers), Autonomous Vehicle Technology and Safety (17 papers) and Robotic Path Planning Algorithms (17 papers). Matteo Matteucci collaborates with scholars based in Italy, Germany and Switzerland. Matteo Matteucci's co-authors include Sara Comai, Anna Maria Bianchi, S. Cerutti, Marco Cannici, Andrea Bonarini, Ava Vali, Chiara Plizzari, Martín O. Méndez, Luca Mainardi and Andréa Zanchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Matteo Matteucci

234 papers receiving 3.9k citations

Hit Papers

Deep Learning for Land Use and Land Cover Classification ... 2020 2026 2022 2024 2020 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Matteucci Italy 32 1.0k 798 722 644 470 246 4.0k
Feng Jiang China 31 1.5k 1.4× 262 0.3× 787 1.1× 877 1.4× 240 0.5× 205 3.8k
Manuel Graña Spain 31 971 0.9× 780 1.0× 1.6k 2.2× 221 0.3× 138 0.3× 304 4.7k
Urbano Nunes Portugal 45 2.4k 2.3× 1.2k 1.5× 612 0.8× 684 1.1× 942 2.0× 220 6.0k
Po Yang United Kingdom 36 1.6k 1.6× 302 0.4× 1.4k 1.9× 578 0.9× 249 0.5× 176 5.5k
Yuanqing Li China 45 1.0k 1.0× 3.7k 4.7× 834 1.2× 574 0.9× 190 0.4× 230 6.8k
Sai Ho Ling Australia 34 459 0.4× 703 0.9× 1.5k 2.0× 571 0.9× 128 0.3× 214 4.5k
Amy Loutfi Sweden 27 851 0.8× 404 0.5× 885 1.2× 1.4k 2.2× 114 0.2× 149 4.4k
Chai Quek Singapore 42 908 0.9× 1.1k 1.4× 2.4k 3.4× 424 0.7× 338 0.7× 246 6.3k
João Paulo Papa Brazil 46 1.7k 1.6× 558 0.7× 2.8k 3.9× 567 0.9× 88 0.2× 287 7.8k
Justin Dauwels Singapore 40 637 0.6× 3.3k 4.2× 934 1.3× 299 0.5× 137 0.3× 267 7.0k

Countries citing papers authored by Matteo Matteucci

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Matteucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Matteucci

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Matteucci. A scholar is included among the top collaborators of Matteo Matteucci 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 Matteo Matteucci. Matteo Matteucci 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.
Roveri, Manuel, et al.. (2025). Advancements in Context Recognition for Edge Devices and Smart Eyewear: Sensors and Applications. IEEE Access. 13. 57062–57100. 1 indexed citations
2.
Piani, Daniela, Marina Comisso, Marco Russo, et al.. (2024). Cuore artificiale totale: passato, presente e futuro. Giornale italiano di cardiologia. 25(7). 491–498.
3.
Matteucci, Matteo, et al.. (2024). Stable Diffusion Dataset Generation for Downstream Classification Tasks. 149–154. 2 indexed citations
4.
Mizmizi, Marouan, et al.. (2024). Deep Learning-Based Target-to-User Association in Integrated Sensing and Communication Systems. IEEE Journal of Selected Topics in Signal Processing. 18(5). 886–900. 7 indexed citations
5.
Matteucci, Matteo, et al.. (2024). Heterogeneous Data Fusion for Accurate Road User Tracking: A Distributed Multi-Sensor Collaborative Approach. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1658–1665.
6.
Magarini, Maurizio, et al.. (2024). Toward Real-Time Digital Twins of EM Environments: Computational Benchmark for Ray Launching Software. IEEE Open Journal of the Communications Society. 5. 6291–6302. 5 indexed citations
7.
Matteucci, Matteo, et al.. (2024). A Deep Learning-Assisted Template Attack Against Dynamic Frequency Scaling Countermeasures. IEEE Transactions on Computers. 74(1). 293–306. 2 indexed citations
8.
Matteucci, Matteo, et al.. (2024). Event-based eye tracking for smart eyewear. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–7. 3 indexed citations
9.
Ieva, Francesca, et al.. (2023). Scaling survival analysis in healthcare with federated survival forests: A comparative study on heart failure and breast cancer genomics. Future Generation Computer Systems. 149. 343–358. 8 indexed citations
10.
Matteucci, Matteo, et al.. (2023). OSM-SLAM: Aiding SLAM with OpenStreetMaps priors. Frontiers in Robotics and AI. 10. 1064934–1064934. 5 indexed citations
11.
Ardagna, Danilo, et al.. (2023). POPNASv3: A pareto-optimal neural architecture search solution for image and time series classification. Applied Soft Computing. 145. 110555–110555. 5 indexed citations
12.
Arrigoni, Stefano, et al.. (2022). Extended Object Tracking in Curvilinear Road Coordinates for Autonomous Driving. IEEE Transactions on Intelligent Vehicles. 8(2). 1266–1278. 16 indexed citations
13.
Renga, Filippo, et al.. (2021). The Digital Agricultural Revolution: A Bibliometric Analysis Literature Review. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 74 indexed citations
14.
Matteucci, Matteo, et al.. (2021). Data-driven indicators for the detection and prediction of stuck-pipe events in oil&gas drilling operations. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 7. 100043–100043. 15 indexed citations
15.
Matteucci, Matteo, et al.. (2019). Dense 3D visual mapping via semantic simplification. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 4 indexed citations
16.
Matteucci, Matteo, et al.. (2018). Multi-view Stereo 3D Edge Reconstruction. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 8 indexed citations
17.
Ruscio, Daniele, Luca Bascetta, A. Gabrielli, et al.. (2017). Collection and comparison of driver/passenger physiologic and behavioural data in simulation and on-road driving. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 403–408. 8 indexed citations
18.
Migliore, Davide, et al.. (2008). Brain Control of a Smart Wheelchair. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 221–228. 17 indexed citations
19.
Matteucci, Matteo, et al.. (2004). EVOLUTIONARY LEARNING OF RICH NEURAL NETWORKS IN THE BAYESIAN MODEL SELECTION FRAMEWORK. International Journal of Applied Mathematics and Computer Science. 14(3). 423–440. 5 indexed citations
20.
Bonarini, Andrea, Matteo Matteucci, & Marcello Restelli. (2004). A novel model to rule behavior interaction. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 199–206. 3 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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