Primo Zingaretti

3.5k total citations
159 papers, 2.2k citations indexed

About

Primo Zingaretti is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Primo Zingaretti has authored 159 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computer Vision and Pattern Recognition, 42 papers in Aerospace Engineering and 18 papers in Environmental Engineering. Recurrent topics in Primo Zingaretti's work include Robotics and Sensor-Based Localization (41 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Advanced Vision and Imaging (19 papers). Primo Zingaretti is often cited by papers focused on Robotics and Sensor-Based Localization (41 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Advanced Vision and Imaging (19 papers). Primo Zingaretti collaborates with scholars based in Italy, United States and United Kingdom. Primo Zingaretti's co-authors include Emanuele Frontoni, Adriano Mancini, Marina Paolanti, Sauro Longhi, Roberto Pierdicca, Andrea Cesetti, Carla Nardinocchi, Eva Savina Malinverni, Andrea Felicetti and F. Piccinini and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Primo Zingaretti

151 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Primo Zingaretti Italy 24 899 497 379 244 233 159 2.2k
Adriano Mancini Italy 27 721 0.8× 569 1.1× 324 0.9× 280 1.1× 335 1.4× 187 2.7k
Geoff West Australia 26 1.3k 1.4× 207 0.4× 473 1.2× 83 0.3× 165 0.7× 146 2.2k
António Paulo Moreira Portugal 29 811 0.9× 546 1.1× 126 0.3× 122 0.5× 250 1.1× 183 2.8k
José Ramiro Martínez‐de Dios Spain 23 855 1.0× 1.1k 2.3× 214 0.6× 287 1.2× 427 1.8× 94 2.5k
Roberto Arroyo Spain 18 1.5k 1.7× 436 0.9× 136 0.4× 121 0.5× 190 0.8× 28 2.4k
Hui Yuan China 33 2.0k 2.2× 107 0.2× 331 0.9× 98 0.4× 189 0.8× 205 3.6k
Bin Fan China 33 2.7k 3.0× 1.0k 2.1× 195 0.5× 174 0.7× 147 0.6× 119 4.2k
Silvia Liberata Ullo Italy 24 255 0.3× 338 0.7× 261 0.7× 85 0.3× 299 1.3× 107 1.9k

Countries citing papers authored by Primo Zingaretti

Since Specialization
Citations

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

Fields of papers citing papers by Primo Zingaretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Primo Zingaretti

This figure shows the co-authorship network connecting the top 25 collaborators of Primo Zingaretti. A scholar is included among the top collaborators of Primo Zingaretti 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 Primo Zingaretti. Primo Zingaretti 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.
Santarnecchi, Emiliano, et al.. (2025). MineVRA: Exploring the Role of Generative AI-Driven Content Development in XR Environments through a Context-Aware Approach. IEEE Transactions on Visualization and Computer Graphics. 31(5). 3602–3612. 1 indexed citations
2.
Paolanti, Marina, et al.. (2025). RenderGAN: Enhancing Real-time Rendering Efficiency with Deep Learning. ACM Transactions on Multimedia Computing Communications and Applications. 21(3). 1–22.
3.
Mancini, Adriano, et al.. (2025). A Neural Rendering system for fashion design process. Engineering Applications of Artificial Intelligence. 153. 110773–110773. 1 indexed citations
4.
Pierdicca, Roberto, et al.. (2024). Comparative assessment of Neural Rendering methods for the 3D reconstruction of complex heritage sites in the inner areas of the Marche region - Italy. Digital Applications in Archaeology and Cultural Heritage. 35. e00371–e00371.
5.
Pierdicca, Roberto, et al.. (2024). DeepReality: An open source framework to develop AI-based augmented reality applications. Expert Systems with Applications. 249. 123530–123530. 8 indexed citations
6.
Fiorentino, Maria Chiara, et al.. (2024). Generalizability and robustness evaluation of attribute-based zero-shot learning. Neural Networks. 175. 106278–106278. 4 indexed citations
7.
Malinverni, Eva Savina, et al.. (2024). SIGNIFICANCE deep learning based platform to fight illicit trafficking of Cultural Heritage goods. Scientific Reports. 14(1). 15081–15081.
8.
Fiorentino, Maria Chiara, et al.. (2024). Vision Transformer Approaches for COVID-19 Pneumonia Assessment in Lung Ultrasound Images. Università Politecnica delle Marche (Università Politecnica delle Marche). 83–88. 1 indexed citations
9.
Mancini, Adriano, et al.. (2022). Prediction of users trajectories to mimic / avoid the customer behaviour during mapping tasks of an autonomous robot in retail environment. Università Politecnica delle Marche (Università Politecnica delle Marche). abs/1809.00696. 1–6. 1 indexed citations
10.
Felicetti, Andrea, Marina Paolanti, Primo Zingaretti, Roberto Pierdicca, & Eva Savina Malinverni. (2021). Mo.Se.: Mosaic image segmentation based on deep cascading learning. Virtual Archaeology Review. 12(24). 25–25. 19 indexed citations
11.
Pierdicca, Roberto, Marina Paolanti, Andrea Felicetti, F. Piccinini, & Primo Zingaretti. (2020). Automatic Faults Detection of Photovoltaic Farms: solAIr, a Deep Learning-Based System for Thermal Images. Energies. 13(24). 6496–6496. 97 indexed citations
12.
Pierdicca, Roberto, Emanuele Frontoni, Primo Zingaretti, et al.. (2019). Design, Large-Scale Usage Testing, and Important Metrics for Augmented Reality Gaming Applications. ACM Transactions on Multimedia Computing Communications and Applications. 15(2). 1–18. 12 indexed citations
13.
Paolanti, Marina, Roberto Pierdicca, Massimo Martini, et al.. (2019). DEEP CONVOLUTIONAL NEURAL NETWORKS FOR SENTIMENT ANALYSIS OFCULTURAL HERITAGE. SHILAP Revista de lepidopterología. XLII-2/W15. 871–878. 6 indexed citations
14.
Pierdicca, Roberto, Eva Savina Malinverni, F. Piccinini, et al.. (2018). DEEP CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DETECTION OF DAMAGED PHOTOVOLTAIC CELLS. SHILAP Revista de lepidopterología. XLII-2. 893–900. 127 indexed citations
15.
Mancini, Adriano, et al.. (2017). Whistland: An Augmented Reality Crowd-Mapping System for Civil Protection and Emergency Management. ISPRS International Journal of Geo-Information. 6(2). 41–41. 21 indexed citations
16.
Paolanti, Marina, et al.. (2017). Robotic platform for deep change detection for rail safety and security. Università Politecnica delle Marche (Università Politecnica delle Marche). 1–6. 14 indexed citations
17.
Mancini, Adriano, et al.. (2017). Soil / crop segmentation from remotely sensed data acquired by Unmanned Aerial System. Università Politecnica delle Marche (Università Politecnica delle Marche). 1410–1417. 3 indexed citations
18.
Liciotti, Daniele, et al.. (2016). Robust and affordable retail customer profiling by vision and radio beacon sensor fusion. Pattern Recognition Letters. 81. 30–40. 49 indexed citations
19.
Mancini, Adriano, Emanuele Frontoni, & Primo Zingaretti. (2010). Road Change Detection from Multi-Spectral Aerial Data. Università Politecnica delle Marche (Università Politecnica delle Marche). 448–451. 7 indexed citations
20.
Cesetti, Andrea, Emanuele Frontoni, Adriano Mancini, Primo Zingaretti, & Sauro Longhi. (2009). A single-camera feature-based vision system for helicopter autonomous landing. Università Politecnica delle Marche (Università Politecnica delle Marche). 1–6. 6 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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