D. Passoni

1.1k total citations
34 papers, 752 citations indexed

About

D. Passoni is a scholar working on Environmental Engineering, Geology and Electrical and Electronic Engineering. According to data from OpenAlex, D. Passoni has authored 34 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Environmental Engineering, 17 papers in Geology and 11 papers in Electrical and Electronic Engineering. Recurrent topics in D. Passoni's work include Remote Sensing and LiDAR Applications (18 papers), 3D Surveying and Cultural Heritage (17 papers) and solar cell performance optimization (8 papers). D. Passoni is often cited by papers focused on Remote Sensing and LiDAR Applications (18 papers), 3D Surveying and Cultural Heritage (17 papers) and solar cell performance optimization (8 papers). D. Passoni collaborates with scholars based in Italy, United States and Switzerland. D. Passoni's co-authors include L. Pinto, Giovanna Sona, D. Pagliari, Carlo De Michele, Francesco Avanzi, Giulia Ronchetti, Daniele Masseroni, Arianna Facchi, Antonio Ghezzi and Riccardo Barzaghi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Remote Sensing.

In The Last Decade

D. Passoni

34 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Passoni Italy 14 419 297 208 167 116 34 752
Aloysius Wehr Germany 5 894 2.1× 454 1.5× 327 1.6× 68 0.4× 61 0.5× 12 1.1k
Camillo Ressl Austria 15 504 1.2× 348 1.2× 191 0.9× 76 0.5× 128 1.1× 51 747
Juntao Yang China 15 400 1.0× 255 0.9× 114 0.5× 249 1.5× 120 1.0× 56 882
Andreas Ullrich Austria 14 1.0k 2.4× 585 2.0× 430 2.1× 41 0.2× 50 0.4× 52 1.2k
D. Schneider Germany 14 361 0.9× 401 1.4× 99 0.5× 44 0.3× 147 1.3× 33 749
Shuo Shi China 24 769 1.8× 191 0.6× 977 4.7× 141 0.8× 49 0.4× 95 1.6k
Preston Hartzell United States 13 423 1.0× 284 1.0× 179 0.9× 70 0.4× 62 0.5× 22 662
Julián Tomaštík Slovakia 13 594 1.4× 351 1.2× 158 0.8× 24 0.1× 158 1.4× 25 742
Frédéric Bretar France 12 1.2k 3.0× 558 1.9× 534 2.6× 70 0.4× 85 0.7× 27 1.4k
Philipp Glira Austria 11 423 1.0× 337 1.1× 82 0.4× 35 0.2× 182 1.6× 25 560

Countries citing papers authored by D. Passoni

Since Specialization
Citations

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

Fields of papers citing papers by D. Passoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Passoni

This figure shows the co-authorship network connecting the top 25 collaborators of D. Passoni. A scholar is included among the top collaborators of D. Passoni 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 D. Passoni. D. Passoni 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.
Bianchi, Alberto, Alberto Cina, Carlo De Michele, et al.. (2021). Mid-Term Monitoring of Glacier’s Variations with UAVs: The Example of the Belvedere Glacier. Remote Sensing. 14(1). 28–28. 20 indexed citations
2.
Pinto, L., et al.. (2020). LOW-COST UAS PHOTOGRAMMETRY FOR ROAD INFRASTRUCTURES’ INSPECTION. SHILAP Revista de lepidopterología. XLIII-B2-2020. 1145–1150. 13 indexed citations
3.
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
4.
Sona, Giovanna, et al.. (2018). Improving Tree Species Classification Using UAS Multispectral Images and Texture Measures. ISPRS International Journal of Geo-Information. 7(8). 315–315. 56 indexed citations
5.
Passoni, D., et al.. (2018). Parameter optimization for creating reliable photogrammetric models in emergency scenarios. Applied Geomatics. 10(4). 501–514. 20 indexed citations
6.
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
7.
Federici, Bianca, et al.. (2017). USE OF UAS FOR THE CONSERVATION OF HISTORICAL BUILDINGS IN CASE OF EMERGENCIES. SHILAP Revista de lepidopterología. XLII-5/W1. 81–88. 13 indexed citations
8.
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
9.
Pagliari, D., Lorenzo Rossi, D. Passoni, et al.. (2016). Measuring the volume of flushed sediments in a reservoir using multi-temporal images acquired with UAS. Geomatics Natural Hazards and Risk. 8(1). 150–166. 22 indexed citations
10.
Sona, Giovanna, D. Passoni, L. Pinto, et al.. (2016). UAV MULTISPECTRAL SURVEY TO MAP SOIL AND CROP FOR PRECISION FARMING APPLICATIONS. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XLI-B1. 1023–1029. 34 indexed citations
11.
Michele, Carlo De, Francesco Avanzi, D. Passoni, et al.. (2015). Microscale variability of snow depth using U.A.S. technology. 4 indexed citations
12.
Passoni, D., et al.. (2014). Use of Unmanned Aerial Systems for multispectral survey and tree classification: a test in a park area of northern Italy. European Journal of Remote Sensing. 47(1). 251–269. 69 indexed citations
13.
Sona, Giovanna, et al.. (2014). Experimental analysis of different software packages for orientation and digital surface modelling from UAV images. Earth Science Informatics. 7(2). 97–107. 119 indexed citations
14.
Pagliari, D., et al.. (2013). UAV PHOTOGRAMMETRY: BLOCK TRIANGULATION COMPARISONS. SHILAP Revista de lepidopterología. XL-1/W2. 157–162. 44 indexed citations
15.
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
16.
Timò, Gianluca, et al.. (1996). Growth and Characterization of High Efficiency GaAlAs/GaAs/Ge Solar Cells. Materials science forum. 203. 97–102. 3 indexed citations
17.
Passoni, D., et al.. (1992). Epitaxial structures of GaAs/GaAlAs on Ge substrates by MOVPE for photovoltaic applications. Microelectronic Engineering. 18(1-2). 175–188. 11 indexed citations
18.
Passoni, D., et al.. (1988). Effect of substrate quality on GaAs solar cell performances. 173. 616–619 vol.1. 4 indexed citations
19.
Guarini, G. G. T., et al.. (1981). High efficiency 1.43 and 1.69 eV band gap Ga1−xAlxAsGaAs solar cells for multicolour applications. Solar Cells. 3(2). 187–194. 6 indexed citations
20.
Passoni, D., et al.. (1978). A Possible Method for the Growth of Homogeneous Mercury Cadmium Telluride Single Crystals. Journal of The Electrochemical Society. 125(2). 315–317. 12 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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