L. Pinto

1.7k total citations
66 papers, 1.1k citations indexed

About

L. Pinto is a scholar working on Geology, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, L. Pinto has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Geology, 25 papers in Aerospace Engineering and 22 papers in Environmental Engineering. Recurrent topics in L. Pinto's work include 3D Surveying and Cultural Heritage (36 papers), Remote Sensing and LiDAR Applications (20 papers) and Robotics and Sensor-Based Localization (19 papers). L. Pinto is often cited by papers focused on 3D Surveying and Cultural Heritage (36 papers), Remote Sensing and LiDAR Applications (20 papers) and Robotics and Sensor-Based Localization (19 papers). L. Pinto collaborates with scholars based in Italy, Switzerland and Netherlands. L. Pinto's co-authors include D. Pagliari, D. Passoni, Giovanna Sona, Carlo De Michele, Riccardo Barzaghi, G. Forlani, Francesco Avanzi, Carlo Iapige De Gaetani, Giulia Ronchetti and Lorenzo Rossi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Remote Sensing.

In The Last Decade

L. Pinto

63 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Pinto Italy 18 497 439 229 213 201 66 1.1k
Alberto Guarnieri Italy 21 579 1.2× 670 1.5× 232 1.0× 131 0.6× 101 0.5× 65 1.1k
Zhenxin Zhang China 18 449 0.9× 408 0.9× 131 0.6× 143 0.7× 100 0.5× 48 966
Antonio Vettore Italy 22 653 1.3× 738 1.7× 306 1.3× 158 0.7× 56 0.3× 74 1.3k
Devrim Akça Switzerland 18 554 1.1× 632 1.4× 349 1.5× 100 0.5× 76 0.4× 50 1.1k
Camillo Ressl Austria 15 504 1.0× 348 0.8× 128 0.6× 191 0.9× 76 0.4× 51 747
Juntao Yang China 15 400 0.8× 255 0.6× 120 0.5× 114 0.5× 249 1.2× 56 882
Jiann-Yeou Rau Taiwan 15 287 0.6× 251 0.6× 181 0.8× 110 0.5× 71 0.4× 42 667
Leena Matikainen Finland 20 927 1.9× 427 1.0× 166 0.7× 470 2.2× 193 1.0× 39 1.4k
G. Forlani Italy 18 812 1.6× 905 2.1× 395 1.7× 108 0.5× 135 0.7× 69 1.4k
Tee‐Ann Teo Taiwan 18 475 1.0× 374 0.9× 257 1.1× 132 0.6× 74 0.4× 66 969

Countries citing papers authored by L. Pinto

Since Specialization
Citations

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

Fields of papers citing papers by L. Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of L. Pinto. A scholar is included among the top collaborators of L. Pinto 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 L. Pinto. L. Pinto 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.
Pinto, L., et al.. (2025). Strategies for Glacier Retreat Communication with 3D Geovisualization and Open Data Sharing. ISPRS International Journal of Geo-Information. 14(2). 75–75.
2.
Carrión, Daniela, et al.. (2025). A 3D WebGIS Open-Source Prototype for Bridge Inspection Data Management. SHILAP Revista de lepidopterología. 5(4). 68–68.
3.
Dematteis, Niccolò, et al.. (2024). Deep Learning Low-cost Photogrammetry for 4D Short-term Glacier Dynamics Monitoring. PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science. 92(6). 657–678. 5 indexed citations
4.
Pinto, L., et al.. (2024). Bridging geomatics theory to real-world applications in alpine surveys through an innovative summer school teaching program. SHILAP Revista de lepidopterología. XLVIII-4/W12-2024. 59–66. 1 indexed citations
5.
Barbieri, Francesco, et al.. (2023). REDISCOVERING CULTURAL HERITAGE SITES BY INTERACTIVE 3D EXPLORATION: A PRACTICAL REVIEW OF OPEN-SOURCE WEBGL TOOLS. SHILAP Revista de lepidopterología. XLVIII-M-2-2023. 661–668. 10 indexed citations
6.
Zani, Giulio, et al.. (2023). A GEO-DATABASE FOR 3D-AIDED MULTI-EPOCH DOCUMENTATION OF BRIDGE INSPECTIONS. SHILAP Revista de lepidopterología. XLVIII-1/W2-2023. 299–306. 1 indexed citations
7.
Pinto, L., et al.. (2023). MOBILE MAPPING SOLUTIONS FOR THE UPDATE AND MANAGEMENT OF TRAFFIC SIGNS IN A ROAD CADASTRE FREE OPEN-SOURCE GIS ARCHITECTURE. SHILAP Revista de lepidopterología. XLVIII-4/W7-2023. 61–66. 3 indexed citations
8.
Nex, Francesco, et al.. (2023). ICEPY4D: A PYTHON TOOLKIT FOR ADVANCED MULTI-EPOCH GLACIER MONITORING WITH DEEP-LEARNING PHOTOGRAMMETRY. SHILAP Revista de lepidopterología. XLVIII-1/W2-2023. 1037–1044. 3 indexed citations
9.
Pinto, L., et al.. (2022). INTEGRATION OF UAV-LIDAR AND UAV-PHOTOGRAMMETRY FOR INFRASTRUCTURE MONITORING AND BRIDGE ASSESSMENT. SHILAP Revista de lepidopterología. XLIII-B2-2022. 995–1002. 29 indexed citations
10.
Pinto, L., et al.. (2022). UAV PHOTOGRAMMETRY FOR METRIC EVALUATION OF CONCRETE BRIDGE CRACKS. SHILAP Revista de lepidopterología. XLIII-B2-2022. 1025–1032. 18 indexed citations
11.
Pinto, L., et al.. (2021). LOW-COST DGPS ASSISTED AERIAL TRIANGULATION FOR SUB-DECIMETRIC ACCURACY WITH NON-RTK UAVS. SHILAP Revista de lepidopterología. XLIII-B2-2021. 25–32. 3 indexed citations
12.
Gaetani, Carlo Iapige De, et al.. (2021). Aerial and UAV Images for Photogrammetric Analysis of Belvedere Glacier Evolution in the Period 1977–2019. Remote Sensing. 13(18). 3787–3787. 12 indexed citations
13.
Avanzi, Francesco, Alberto Bianchi, Alberto Cina, et al.. (2018). Centimetric Accuracy in Snow Depth Using Unmanned Aerial System Photogrammetry and a MultiStation. Remote Sensing. 10(5). 765–765. 49 indexed citations
14.
Avanzi, Francesco, Alberto Bianchi, Alberto Cina, et al.. (2017). Measuring the snowpack depth with Unmanned Aerial System photogrammetry: comparison with manual probing and a 3D laser scanning over a sample plot. CINECA IRIS Institutial Research Information System (University of Genoa). 6 indexed citations
15.
Michele, Carlo De, Francesco Avanzi, D. Passoni, et al.. (2016). Using a fixed-wing UAS to map snow depth distribution: an evaluation at peak accumulation. ˜The œcryosphere. 10(2). 511–522. 82 indexed citations
16.
Michele, Carlo De, Francesco Avanzi, D. Passoni, et al.. (2015). Microscale variability of snow depth using U.A.S. technology. 4 indexed citations
17.
Pinto, L., et al.. (2008). GPS-assisted Adjustment of Terrestrial Blocks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 98–105. 5 indexed citations
18.
Pinto, L., D. Passoni, & G. Forlani. (2004). Experimental Tests on The Benefits of a more rigorous model in IMU/GPS System Calibration. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 518–523. 2 indexed citations
19.
Forlani, G., L. Pinto, & Marco Scaioni. (2000). Concept and Testing of an Automatic System for Aerial Triangulation. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 486–493. 2 indexed citations
20.
Pinto, L., et al.. (1996). Studio sperimentale sull’uso di metodologie avanzate di ripresa, per la costruzione di carte a grande-media scala. Virtual Community of Pathological Anatomy (University of Castilla La Mancha).

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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