Chiara Torresan

1.4k total citations · 1 hit paper
16 papers, 684 citations indexed

About

Chiara Torresan is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Insect Science. According to data from OpenAlex, Chiara Torresan has authored 16 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Environmental Engineering, 10 papers in Nature and Landscape Conservation and 7 papers in Insect Science. Recurrent topics in Chiara Torresan's work include Remote Sensing and LiDAR Applications (13 papers), Forest ecology and management (10 papers) and Forest Ecology and Biodiversity Studies (7 papers). Chiara Torresan is often cited by papers focused on Remote Sensing and LiDAR Applications (13 papers), Forest ecology and management (10 papers) and Forest Ecology and Biodiversity Studies (7 papers). Chiara Torresan collaborates with scholars based in Italy, United States and Spain. Chiara Torresan's co-authors include Federico Carotenuto, F. Miglietta, Alessandro Zaldei, Beniamino Gioli, Andrea Berton, Luke Wallace, Salvatore Filippo Di Gennaro, Alessandro Matese, Carolina Vagnoli and Piermaria Corona and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and International Journal of Remote Sensing.

In The Last Decade

Chiara Torresan

15 papers receiving 662 citations

Hit Papers

Forestry applications of UAVs in Europe: a review 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Forestry applications of UAVs in Europe: a review
    2016 359 citations Chiara Torresan, Andrea Berton et al. International Journal of Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiara Torresan Italy 11 471 249 217 163 156 16 684
Kirsi Karila Finland 16 529 1.1× 340 1.4× 145 0.7× 136 0.8× 74 0.5× 32 839
Hongcan Guan China 15 559 1.2× 361 1.4× 208 1.0× 220 1.3× 86 0.6× 34 943
Xiliang Sun China 10 393 0.8× 200 0.8× 110 0.5× 87 0.5× 60 0.4× 13 588
Sébastien Bauwens Belgium 10 683 1.5× 276 1.1× 506 2.3× 234 1.4× 220 1.4× 19 915
Ting Yun China 18 729 1.5× 389 1.6× 328 1.5× 150 0.9× 131 0.8× 62 1.0k
Martin Mokroš Czechia 18 908 1.9× 239 1.0× 318 1.5× 106 0.7× 238 1.5× 46 1.1k
Mathias Schardt Austria 17 555 1.2× 416 1.7× 242 1.1× 319 2.0× 113 0.7× 53 903
Christoph Gollob Austria 12 435 0.9× 115 0.5× 220 1.0× 73 0.4× 145 0.9× 36 683
Jonathon J. Donager United States 6 304 0.6× 221 0.9× 91 0.4× 135 0.8× 62 0.4× 7 465
Ivan Balenović Croatia 14 378 0.8× 200 0.8× 174 0.8× 114 0.7× 119 0.8× 43 525

Countries citing papers authored by Chiara Torresan

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Torresan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Torresan

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Torresan. A scholar is included among the top collaborators of Chiara Torresan 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 Chiara Torresan. Chiara Torresan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Eichhorn, Markus P., Francesca Giannetti, Daniel Kükenbrink, et al.. (2025). Terrestrial and mobile laser scanning for national forest inventories: From theory to implementation. Remote Sensing of Environment. 329. 114947–114947.
2.
3.
Carrer, Marco, et al.. (2023). Performance assessment of two plotless sampling methods for density estimation applied to some Alpine forests of northeastern Italy. iForest - Biogeosciences and Forestry. 16(6). 385–391. 2 indexed citations
4.
5.
Torresan, Chiara, Marta Benito Garzón, Michael J. O’Grady, et al.. (2021). A new generation of sensors and monitoring tools to support climate-smart forestry practices. Canadian Journal of Forest Research. 51(12). 1751–1765. 36 indexed citations
6.
Torresan, Chiara, Federico Carotenuto, Ugo Chiavetta, et al.. (2020). Individual Tree Crown Segmentation in Two-Layered Dense Mixed Forests from UAV LiDAR Data. Drones. 4(2). 10–10. 33 indexed citations
7.
Torresan, Chiara, Miren del Rı́o, Torben Hilmers, et al.. (2019). Importance of tree species size dominance and heterogeneity on the productivity of spruce-fir-beech mountain forest stands in Europe. Forest Ecology and Management. 457. 117716–117716. 35 indexed citations
8.
Torresan, Chiara, et al.. (2018). Applying quantitative structure models to plot-based terrestrial laser data to assess dendrometric parameters in dense mixed forests. Forest Systems. 27(1). e004–e004. 9 indexed citations
9.
Torresan, Chiara, Andrea Berton, Federico Carotenuto, et al.. (2018). Development and Performance Assessment of a Low-Cost UAV Laser Scanner System (LasUAV). Remote Sensing. 10(7). 1094–1094. 35 indexed citations
10.
Torresan, Chiara, Andrea Berton, Federico Carotenuto, et al.. (2016). Forestry applications of UAVs in Europe: a review. International Journal of Remote Sensing. 38(8-10). 2427–2447. 359 indexed citations breakdown →
11.
Vescovo, Loris, Damiano Gianelle, Michele Dalponte, et al.. (2016). Hail defoliation assessment in corn ( Zea mays L.) using airborne LiDAR. Field Crops Research. 196. 426–437. 13 indexed citations
12.
Torresan, Chiara, et al.. (2016). Using classification trees to predict forest structure types from LiDAR data. Annals of Forest Research. 59(2). 281–298. 22 indexed citations
13.
Corona, Piermaria, et al.. (2014). Estimation of standing wood volume in forest compartments by exploiting airborne laser scanning information: model-based, design-based, and hybrid perspectives. Canadian Journal of Forest Research. 44(11). 1303–1311. 51 indexed citations
14.
Torresan, Chiara, Jacob L. Strunk, Harold S. J. Zald, Zhiqiang Yang, & Warren B. Cohen. (2014). Comparing statistical techniques to classify the structure of mountain forest stands using CHM-derived metrics in Trento province (Italy). European Journal of Remote Sensing. 47(1). 75–94. 11 indexed citations
15.
Vacik, Harald, Chiara Torresan, Teppo Hujala, Chiranjeewee Khadka, & Keith M. Reynolds. (2013). The role of knowledge management tools in supporting sustainable forest management. Forest Systems. 22(3). 442–455. 16 indexed citations
16.
Corona, Piermaria, Gherardo Chirici, Paolo Di Martino, et al.. (2012). Airborne Laser Scanning to support forest resource management under alpine, temperate and Mediterranean environments in Italy. European Journal of Remote Sensing. 45(1). 27–37. 56 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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