Davide Mazzini

641 total citations
20 papers, 323 citations indexed

About

Davide Mazzini is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Davide Mazzini has authored 20 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Aerospace Engineering, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Mechanical Engineering. Recurrent topics in Davide Mazzini's work include Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Heat Transfer and Boiling Studies (4 papers). Davide Mazzini is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Heat Transfer and Boiling Studies (4 papers). Davide Mazzini collaborates with scholars based in Italy, Russia and Belgium. Davide Mazzini's co-authors include Raimondo Schettini, Simone Bianco, Marco Buzzelli, Paolo Napoletano, Flavio Piccoli, Gianluigi Ciocca, Sinem Aslan, Danilo Pau, Francesco Saverio D'Auria and Walter Ambrosini and has published in prestigious journals such as Neurocomputing, Computers in Industry and Nuclear Engineering and Design.

In The Last Decade

Davide Mazzini

18 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davide Mazzini Italy 10 136 58 45 38 37 20 323
Yuming Chen China 10 53 0.4× 77 1.3× 30 0.7× 37 1.0× 18 0.5× 41 253
Shaoyang Men China 9 110 0.8× 120 2.1× 40 0.9× 27 0.7× 23 0.6× 31 388
Zhiang Li China 9 119 0.9× 34 0.6× 55 1.2× 45 1.2× 13 0.4× 25 321
Zhenbang Gong China 13 109 0.8× 138 2.4× 114 2.5× 88 2.3× 27 0.7× 77 394
Jae-Han Lee South Korea 9 200 1.5× 45 0.8× 23 0.5× 24 0.6× 29 0.8× 22 340
Yong-Lin Kuo Taiwan 12 50 0.4× 48 0.8× 64 1.4× 52 1.4× 14 0.4× 51 368
Peiyu Chen China 11 56 0.4× 56 1.0× 35 0.8× 62 1.6× 20 0.5× 35 410
Rui Pimentel de Figueiredo Portugal 10 153 1.1× 56 1.0× 11 0.2× 22 0.6× 16 0.4× 37 257
S.A. Masoud Jordan 11 185 1.4× 110 1.9× 35 0.8× 76 2.0× 77 2.1× 22 338

Countries citing papers authored by Davide Mazzini

Since Specialization
Citations

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

Fields of papers citing papers by Davide Mazzini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Mazzini

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Mazzini. A scholar is included among the top collaborators of Davide Mazzini 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 Mazzini. Davide Mazzini 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.
Mazzini, Davide, et al.. (2020). Light3Dpose: Real-time multi-person 3D pose estimation from multiple views. BOA (University of Milano-Bicocca). 5 indexed citations
2.
Aslan, Sinem, Gianluigi Ciocca, Davide Mazzini, & Raimondo Schettini. (2020). Benchmarking algorithms for food localization and semantic segmentation. International Journal of Machine Learning and Cybernetics. 11(12). 2827–2847. 30 indexed citations
3.
Mazzini, Davide, Paolo Napoletano, Flavio Piccoli, & Raimondo Schettini. (2020). A Novel Approach to Data Augmentation for Pavement Distress Segmentation. Computers in Industry. 121. 103225–103225. 46 indexed citations
4.
Bianco, Simone, Davide Mazzini, Paolo Napoletano, & Raimondo Schettini. (2019). Multitask painting categorization by deep multibranch neural network. BOA (University of Milano-Bicocca). 29 indexed citations
5.
Mazzini, Davide & Raimondo Schettini. (2019). Spatial Sampling Network for Fast Scene Understanding. BOA (University of Milano-Bicocca). 3. 1286–1296. 14 indexed citations
6.
Mazzini, Davide, et al.. (2018). A CNN Architecture for Efficient Semantic Segmentation of Street Scenes. BOA (University of Milano-Bicocca). 1–6. 10 indexed citations
7.
Bianco, Simone, Marco Buzzelli, Davide Mazzini, & Raimondo Schettini. (2017). Deep learning for logo recognition. Neurocomputing. 245. 23–30. 84 indexed citations
8.
Bianco, Simone, Davide Mazzini, Danilo Pau, & Raimondo Schettini. (2015). Local detectors and compact descriptors for visual search: A quantitative comparison. Digital Signal Processing. 44. 1–13. 25 indexed citations
9.
Turcu, Florin, et al.. (2014). In-Service Inspection and On-Line Monitoring of Inaccessible Components in Nuclear Power Plants Using Guided Wave Technology. CINECA IRIS Institutial research information system (University of Pisa). 3 indexed citations
10.
Bianco, Simone, Raimondo Schettini, Davide Mazzini, & Danilo Pau. (2013). Quantitative review of local descriptors for visual search. BOA (University of Milano-Bicocca). 3951. 98–102. 1 indexed citations
11.
Galassi, Maria Cristina, et al.. (2008). CFD Code Validation against Stratified Air-Water Flow Experimental Data. Science and Technology of Nuclear Installations. 2008. 1–7. 9 indexed citations
12.
Soloviev, S. L., et al.. (2008). Deterministic Safety Technology for RBMK Reactors. Science and Technology of Nuclear Installations. 2008. 1–7.
13.
Lucas, Dirk, D. Bestion, Pierre Coste, et al.. (2008). An Overview of the Pressurized Thermal Shock Issue in the Context of the NURESIM Project. Science and Technology of Nuclear Installations. 2009(1). 31 indexed citations
14.
Lucas, Dirk, D. Bestion, M. Scheuerer, et al.. (2007). On the Simulation of Two-Phase Flow Pressurized Thermal Shock (PTS). DORA PSI (Paul Scherrer Institute). 358–379. 11 indexed citations
15.
D'Auria, Francesco Saverio, et al.. (2007). The multiple pressure tube rupture (MPTR) issue in RBMK safety technology. Nuclear Engineering and Design. 238(4). 1026–1061. 6 indexed citations
16.
Sciutto, G., et al.. (2007). Technologies to support the railway circulation in emergency conditions. WIT transactions on the built environment. I. 385–390.
17.
Mazzini, Davide, et al.. (2003). Fracture Mechanics Analysis of Generic WWER-1000 RPV in PTS Event. 1–10. 1 indexed citations
18.
Ambrosini, Walter, Nicola Forgione, Davide Mazzini, & Francesco Oriolo. (2002). Computational Study of Evaporative Film Cooling in a Vertical Rectangular Channel. Heat Transfer Engineering. 23(5). 25–35. 11 indexed citations
19.
Ambrosini, Walter, Nicola Forgione, Davide Mazzini, & Francesco Oriolo. (2002). Computational Study On Evaporative Film Cooling in a Vertical Channel. CINECA IRIS Institutial research information system (University of Pisa). 23. 25–35. 4 indexed citations
20.
Ambrosini, Walter, et al.. (2001). CFD Analysis of Evaporation Cooling Experimental Tests. CINECA IRIS Institutial research information system (University of Pisa). 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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