Sara Franceschi

667 total citations
37 papers, 510 citations indexed

About

Sara Franceschi is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Sara Franceschi has authored 37 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Environmental Engineering, 15 papers in Nature and Landscape Conservation and 11 papers in Ecology. Recurrent topics in Sara Franceschi's work include Remote Sensing and LiDAR Applications (14 papers), Forest ecology and management (11 papers) and Soil Geostatistics and Mapping (9 papers). Sara Franceschi is often cited by papers focused on Remote Sensing and LiDAR Applications (14 papers), Forest ecology and management (11 papers) and Soil Geostatistics and Mapping (9 papers). Sara Franceschi collaborates with scholars based in Italy, United States and Netherlands. Sara Franceschi's co-authors include Lorenzo Fattorini, Lucio Barabesi, Piermaria Corona, Marzia Marcheselli, Caterina Pisani, Chiara Torresan, Sandro Lovari, Niccolò Fattorini, Gianpasquale Chiatante and Francesco Ferretti and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Sara Franceschi

34 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Franceschi Italy 12 237 202 198 116 61 37 510
Francis A. Roesch United States 11 197 0.8× 133 0.7× 254 1.3× 218 1.9× 50 0.8× 52 470
Marzia Marcheselli Italy 12 147 0.6× 114 0.6× 114 0.6× 98 0.8× 31 0.5× 43 406
Michael C. Denham United Kingdom 7 18 0.1× 216 1.1× 146 0.7× 85 0.7× 19 0.3× 10 621
Yanbing Zheng United States 10 51 0.2× 212 1.0× 61 0.3× 103 0.9× 143 2.3× 27 450
G. P. Y. Clarke South Africa 14 43 0.2× 62 0.3× 136 0.7× 43 0.4× 38 0.6× 33 433
Amiya Ranjan Bhowmick India 13 43 0.2× 121 0.6× 101 0.5× 91 0.8× 10 0.2× 36 504
H. W. Lotwick United Kingdom 6 47 0.2× 54 0.3× 166 0.8× 93 0.8× 27 0.4× 7 410
Robert Faivre France 15 85 0.4× 177 0.9× 34 0.2× 175 1.5× 8 0.1× 32 632
Harri Högmander Finland 7 15 0.1× 147 0.7× 134 0.7× 44 0.4× 18 0.3× 15 309
Franciel Eduardo Rex Brazil 12 380 1.6× 185 0.9× 215 1.1× 102 0.9× 150 2.5× 30 511

Countries citing papers authored by Sara Franceschi

Since Specialization
Citations

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

Fields of papers citing papers by Sara Franceschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Franceschi

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Franceschi. A scholar is included among the top collaborators of Sara Franceschi 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 Sara Franceschi. Sara Franceschi 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.
Ruocco, Gaetano, et al.. (2026). Continuous Versus Intermittent Loop Diuretics Step‐by‐Step Protocol in Acute Heart Failure (DIUR‐AHF): A Propensity‐Matched Analysis. Journal of the American Heart Association. 15(6). e045911–e045911.
2.
Franceschi, Sara, Caterina Pisani, Lorenzo Fattorini, & Piermaria Corona. (2025). Statistical considerations for enhanced forest resource mapping. Silva Fennica. 59(2).
3.
Franceschi, Sara, Lorenzo Fattorini, & Timothy G. Grégoire. (2024). Exploiting nearest-neighbour maps for estimating the variance of sample mean in equal-probability systematic sampling of spatial populations. Spatial Statistics. 64. 100865–100865. 1 indexed citations
4.
Fattorini, Lorenzo, Sara Franceschi, & Caterina Pisani. (2024). Design-based Consistent Strategies Exploiting Auxiliary Information in Environmental Mapping. Journal of Agricultural Biological and Environmental Statistics. 1 indexed citations
5.
Fattorini, Lorenzo, Sara Franceschi, Marzia Marcheselli, Caterina Pisani, & Luca Pratelli. (2023). Design-based spatial interpolation with data driven selection of the smoothing parameter. Environmental and Ecological Statistics. 30(1). 103–129. 4 indexed citations
6.
Fattorini, Niccolò, Sandro Lovari, Sara Franceschi, et al.. (2023). Animal conflicts escalate in a warmer world. The Science of The Total Environment. 871. 161789–161789. 8 indexed citations
7.
Franceschi, Sara, et al.. (2022). Some Empirical Results on Nearest-Neighbour Pseudo-populations for Resampling from Spatial Populations. SHILAP Revista de lepidopterología. 5(2). 385–400. 3 indexed citations
8.
Domma, Filippo, Francesca Condino, Sara Franceschi, Davide Luciano De Luca, & Daniela Biondi. (2022). On the extreme hydrologic events determinants by means of Beta-Singh-Maddala reparameterization. Scientific Reports. 12(1). 15537–15537. 1 indexed citations
9.
Fattorini, Lorenzo, et al.. (2022). Harmonization of design-based mapping for spatial populations. Stochastic Environmental Research and Risk Assessment. 36(10). 3171–3182. 2 indexed citations
10.
Franceschi, Sara, et al.. (2021). Balanced sampling of boxes from batches for assessing quality of fruits and vegetables in EU countries. Quality & Quantity. 56(4). 2821–2839. 1 indexed citations
11.
Franceschi, Sara, Gherardo Chirici, Lorenzo Fattorini, Francesca Giannetti, & Piermaria Corona. (2020). Model-assisted estimation of forest attributes exploiting remote sensing information to handle spatial under-coverage. Spatial Statistics. 41. 100472–100472. 2 indexed citations
12.
Fattorini, Lorenzo, Sara Franceschi, & Piermaria Corona. (2020). Design‐based mapping of tree attributes by 3P sampling. Biometrical Journal. 62(7). 1810–1825. 2 indexed citations
13.
Lovari, Sandro, Sara Franceschi, Gianpasquale Chiatante, et al.. (2020). Climatic changes and the fate of mountain herbivores. Climatic Change. 162(4). 2319–2337. 44 indexed citations
15.
Marchetti, Marco, Vittorio Garfì, Caterina Pisani, et al.. (2018). Inference on forest attributes and ecological diversity of trees outside forest by a two-phase inventory. Annals of Forest Science. 75(2). 11 indexed citations
16.
Corona, Piermaria, Lorenzo Fattorini, Sara Franceschi, et al.. (2018). Estimating tree diversity in forest ecosystems by two‐phase inventories. Environmetrics. 30(2). 4 indexed citations
17.
Franceschi, Sara, et al.. (2018). Design‐based inference on Bernstein type estimators for continuous populations. Biometrical Journal. 61(1). 166–186. 1 indexed citations
18.
Corona, Piermaria, Sara Franceschi, Caterina Pisani, et al.. (2015). Inference on diversity from forest inventories: a review. Biodiversity and Conservation. 26(13). 3037–3049. 11 indexed citations
19.
Franceschi, Sara, et al.. (2011). Repeatability and Agreement of 2 Scheimpflug Analyzers in Measuring the Central Corneal Thickness and Anterior Chamber Angle, Volume, and Depth. European Journal of Ophthalmology. 22(7_suppl). 29–32. 16 indexed citations
20.
Fattorini, Lorenzo, et al.. (2007). A design-based approach to k-nn technique in forest inventories. 1 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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