Adriano Mancini

4.2k total citations · 1 hit paper
187 papers, 2.7k citations indexed

About

Adriano Mancini is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Ecology. According to data from OpenAlex, Adriano Mancini has authored 187 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Computer Vision and Pattern Recognition, 36 papers in Aerospace Engineering and 27 papers in Ecology. Recurrent topics in Adriano Mancini's work include Robotics and Sensor-Based Localization (34 papers), Remote Sensing in Agriculture (25 papers) and Robotic Path Planning Algorithms (19 papers). Adriano Mancini is often cited by papers focused on Robotics and Sensor-Based Localization (34 papers), Remote Sensing in Agriculture (25 papers) and Robotic Path Planning Algorithms (19 papers). Adriano Mancini collaborates with scholars based in Italy, Sweden and Spain. Adriano Mancini's co-authors include Emanuele Frontoni, Primo Zingaretti, Sauro Longhi, Marina Paolanti, Luca Romeo, Alessandro Benini, Andrea Cesetti, Jelena Loncarski, Anna Nora Tassetti and Roberto Pierdicca and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Expert Systems with Applications.

In The Last Decade

Adriano Mancini

168 papers receiving 2.5k citations

Hit Papers

On the Integration of Artificial Intelligence and Blockch... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adriano Mancini Italy 27 721 569 335 324 285 187 2.7k
Primo Zingaretti Italy 24 899 1.2× 497 0.9× 233 0.7× 379 1.2× 101 0.4× 159 2.2k
Christophe Claramunt France 29 640 0.9× 364 0.6× 166 0.5× 189 0.6× 210 0.7× 216 3.8k
Elmer P. Dadios Philippines 29 1.1k 1.5× 272 0.5× 565 1.7× 162 0.5× 372 1.3× 509 4.5k
Kai Hu China 28 885 1.2× 252 0.4× 173 0.5× 166 0.5× 158 0.6× 219 2.6k
Hyoungkwan Kim South Korea 38 642 0.9× 217 0.4× 181 0.5× 286 0.9× 151 0.5× 130 4.6k
Mariette Awad Lebanon 20 339 0.5× 451 0.8× 1.0k 3.1× 197 0.6× 224 0.8× 107 3.1k
Xun Zhou United States 26 436 0.6× 410 0.7× 298 0.9× 214 0.7× 205 0.7× 119 2.4k
Hao Sheng China 31 1.8k 2.5× 208 0.4× 292 0.9× 211 0.7× 114 0.4× 163 3.4k
Sisi Zlatanova Netherlands 37 660 0.9× 702 1.2× 360 1.1× 1.3k 4.0× 114 0.4× 340 6.0k
Silvia Liberata Ullo Italy 24 255 0.4× 338 0.6× 299 0.9× 261 0.8× 77 0.3× 107 1.9k

Countries citing papers authored by Adriano Mancini

Since Specialization
Citations

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

Fields of papers citing papers by Adriano Mancini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adriano Mancini

This figure shows the co-authorship network connecting the top 25 collaborators of Adriano Mancini. A scholar is included among the top collaborators of Adriano Mancini 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 Adriano Mancini. Adriano Mancini 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.
Mancini, Adriano, et al.. (2025). A systemic approach to complex landslide risk reduction in coastal tourist areas: The case of Sirolo, central Italy. International Journal of Disaster Risk Reduction. 130. 105810–105810.
2.
Lodolini, Enrico María, et al.. (2025). Continuous Proximal Monitoring of Diameter Variation from Root to Fruit. Horticulturae. 11(6). 635–635. 1 indexed citations
3.
Rosati, Riccardo, et al.. (2025). An automated workflow based on UAV imagery and Deep Learning methods for monitoring excavation area work. Integrated Computer-Aided Engineering. 32(3). 272–291.
4.
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.
6.
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.
7.
Rosati, Riccardo, et al.. (2024). An automated CAD-to-XR framework based on generative AI and Shrinkwrap modelling for a User-Centred design approach. Advanced Engineering Informatics. 62. 102848–102848. 6 indexed citations
8.
Paolanti, Marina, Simona Tiribelli, Benedetta Giovanola, et al.. (2024). Ethical Framework to Assess and Quantify the Trustworthiness of Artificial Intelligence Techniques: Application Case in Remote Sensing. Remote Sensing. 16(23). 4529–4529. 3 indexed citations
9.
Mancini, Adriano, Gloria Cosoli, Alessandra Mobili, et al.. (2024). A monitoring platform based on electrical impedance and AI techniques to enhance the resilience of the built environment. ACTA IMEKO. 13(3). 1–12. 2 indexed citations
10.
Mancini, Adriano, et al.. (2024). Time Series from Sentinel-2 for Organic Durum Wheat Yield Prediction Using Functional Data Analysis and Deep Learning. Agronomy. 14(1). 109–109. 8 indexed citations
11.
Cosoli, Gloria, et al.. (2024). In the Direction of an Artificial Intelligence-Enabled Monitoring Platform for Concrete Structures. Sensors. 24(2). 572–572. 4 indexed citations
12.
Gabrielli, Leonardo, et al.. (2024). An advanced multimodal driver-assistance prototype for emergency-vehicle detection. Integrated Computer-Aided Engineering. 31(4). 381–399. 3 indexed citations
13.
Pierdicca, Roberto, Adriano Mancini, Andrea Galli, et al.. (2023). A COMPARISON OF PRE-PROCESSING APPROACHES FOR REMOTELY SENSED TIME SERIES CLASSIFICATION BASED ON FUNCTIONAL ANALYSIS. SHILAP Revista de lepidopterología. X-1/W1-2023. 33–40. 2 indexed citations
14.
Pierdicca, Roberto, et al.. (2023). UAV4TREE: DEEP LEARNING-BASED SYSTEM FOR AUTOMATIC CLASSIFICATION OF TREE SPECIES USING RGB OPTICAL IMAGES OBTAINED BY AN UNMANNED AERIAL VEHICLE. SHILAP Revista de lepidopterología. X-1/W1-2023. 1089–1096. 2 indexed citations
15.
Giorgi, Veronica, et al.. (2021). Is There Daily Growth Hysteresis versus Vapor Pressure Deficit in Cherry Fruit?. Horticulturae. 7(6). 131–131. 7 indexed citations
16.
17.
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
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.
Malinverni, Eva Savina, et al.. (2015). Multimedia Discovery of the Leonardo’s Vitruvian Man. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Pierdicca, Roberto, Eva Savina Malinverni, Anna Nora Tassetti, et al.. (2015). Development of a GIS environment for archaeological multipurpose applications: the Fano historic centre. Università Politecnica delle Marche (Università Politecnica delle Marche). 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026