Lorenzo Bottai

763 total citations
33 papers, 602 citations indexed

About

Lorenzo Bottai is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, Lorenzo Bottai has authored 33 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Environmental Engineering, 16 papers in Ecology and 14 papers in Global and Planetary Change. Recurrent topics in Lorenzo Bottai's work include Remote Sensing in Agriculture (12 papers), Remote Sensing and LiDAR Applications (12 papers) and Land Use and Ecosystem Services (5 papers). Lorenzo Bottai is often cited by papers focused on Remote Sensing in Agriculture (12 papers), Remote Sensing and LiDAR Applications (12 papers) and Land Use and Ecosystem Services (5 papers). Lorenzo Bottai collaborates with scholars based in Italy, United States and Norway. Lorenzo Bottai's co-authors include Fabio Maselli, Gherardo Chirici, Marta Chiesi, Piermaria Corona, Marco Marchetti, Bernardo Gozzini, Giampiero Maracchi, Matteo Mura, E. Santi and Raffaella Ferrari and has published in prestigious journals such as Remote Sensing of Environment, Renewable Energy and International Journal of Remote Sensing.

In The Last Decade

Lorenzo Bottai

30 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lorenzo Bottai Italy 14 291 269 243 99 94 33 602
R. Denham Australia 11 272 0.9× 228 0.8× 154 0.6× 86 0.9× 56 0.6× 18 475
Saleem Ullah Pakistan 16 404 1.4× 248 0.9× 198 0.8× 56 0.6× 96 1.0× 25 729
Jiawei Xu China 11 381 1.3× 147 0.5× 403 1.7× 84 0.8× 196 2.1× 42 777
Jenet Austin Australia 12 216 0.7× 205 0.8× 160 0.7× 112 1.1× 32 0.3× 37 497
C. M. Trotter New Zealand 14 441 1.5× 245 0.9× 306 1.3× 190 1.9× 84 0.9× 25 776
Aaron Tamminga Canada 4 269 0.9× 255 0.9× 122 0.5× 62 0.6× 30 0.3× 7 472
Annett Frick Germany 11 412 1.4× 366 1.4× 252 1.0× 60 0.6× 89 0.9× 23 691
D. M. Valeriano Brazil 12 365 1.3× 160 0.6× 421 1.7× 74 0.7× 40 0.4× 27 793
L. Gomes Pereira Portugal 13 268 0.9× 677 2.5× 230 0.9× 236 2.4× 57 0.6× 25 880
Ioannis Manakos Greece 16 465 1.6× 236 0.9× 452 1.9× 64 0.6× 109 1.2× 52 841

Countries citing papers authored by Lorenzo Bottai

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Bottai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Bottai

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Bottai. A scholar is included among the top collaborators of Lorenzo Bottai 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 Lorenzo Bottai. Lorenzo Bottai 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.
Chiesi, Marta, Nicola Arriga, Luca Fibbi, et al.. (2025). Enhanced simulation of gross and net carbon fluxes in a managed Mediterranean forest by the use of multi-sensor data. Science of Remote Sensing. 11. 100216–100216. 1 indexed citations
2.
Giambastiani, Yamuna, et al.. (2022). Assessing Soil Erosion by Monitoring Hilly Lakes Silting. Sustainability. 14(9). 5649–5649. 11 indexed citations
3.
Chirici, Gherardo, Francesca Bottalico, Francesca Giannetti, et al.. (2017). Assessing forest windthrow damage using single-date, post-event airborne laser scanning data. Forestry An International Journal of Forest Research. 91(1). 27–37. 33 indexed citations
4.
Chirici, Gherardo, Francesca Bottalico, Francesca Giannetti, et al.. (2016). Stima dei danni da vento ai soprassuoli forestali in Regione Toscana a seguito dell'evento del 5 marzo 2015. L’Italia forestale e montana. 197–213. 1 indexed citations
5.
Fox, Dennis, et al.. (2016). POSTFIRE: A model to map forest fire burn scar and estimate runoff and soil erosion risks. Remote Sensing Applications Society and Environment. 4. 83–91. 22 indexed citations
6.
Bottai, Lorenzo, et al.. (2013). Application of a single-tree identification algorithm to LiDAR data for the simulation of stem volume current annual increment. Journal of Applied Remote Sensing. 7(1). 73699–73699. 14 indexed citations
7.
Chirici, Gherardo, Piermaria Corona, Marco Marchetti, et al.. (2012). K-NN FOREST: a software for the non-parametric prediction and mapping of environmental variables by thek-Nearest Neighbors algorithm. European Journal of Remote Sensing. 45(1). 433–442. 16 indexed citations
8.
Pasqui, Massimiliano, Andrea Taramelli, J. R. Barbour, et al.. (2012). Dust emission in northern China: atmospheric emission–dispersion modelling of a major dust event. Earth Surface Processes and Landforms. 38(12). 1354–1368. 4 indexed citations
9.
Argenti, Giovanni, et al.. (2011). Analisi e valutazione di pascoli montani attraverso l’integrazione di dati multispettrali e ausiliari. Florence Research (University of Florence). 4 indexed citations
10.
Argenti, Giovanni, et al.. (2011). Analysis and assessment of mountain pastures by integration of multispectral and ancillary data. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 45–57. 11 indexed citations
11.
Maselli, Fabio, Lorenzo Gardin, & Lorenzo Bottai. (2008). Automatic mapping of soil texture through the integration of ground, satellite and ancillary data. International Journal of Remote Sensing. 29(19). 5555–5569. 9 indexed citations
12.
Bottai, Lorenzo, Alessandro Montaghi, & Fabio Maselli. (2008). Remote sensing for monitoring the effects of forest fires. 75–87. 2 indexed citations
13.
Maselli, Fabio, Lorenzo Bottai, Gherardo Chirici, et al.. (2003). Estimation of forest attributes by integration of field sampling and remotely sensed data under Mediterranean environments. L’Italia forestale e montana. 58(4). 251–263. 1 indexed citations
14.
Tveito, Ole Einar, et al.. (2003). The use of geographic information systems in climatology and meteorology, COST719. Archives of Photogrammetry Cartography and Remote Sensing. 19 indexed citations
15.
Maselli, Fabio, Lorenzo Bottai, Gherardo Chirici, et al.. (2003). STIMA DI ATTRIBUTI FORESTALI IN AMBIENTE MEDITERRANEO TRAMITE INTEGRAZIONE DI MISURE A TERRA E DATI TELERILEVATI. L’Italia forestale e montana. 58(4). 251–263.
16.
Maselli, Fabio, et al.. (2001). Use of multitemporal spot HRV‐PAN images for mapping urban expansion processes. Remote Sensing Reviews. 20(4). 323–345. 2 indexed citations
17.
Bottai, Lorenzo, et al.. (2000). Processing of GAC NDVI data for yield forecasting in the Sahelian region. International Journal of Remote Sensing. 21(18). 3509–3523. 46 indexed citations
18.
Maselli, Fabio, et al.. (2000). Classification of Mediterranean vegetation by TM and ancillary data for the evaluation of fire risk. International Journal of Remote Sensing. 21(17). 3303–3313. 33 indexed citations
19.
Chirici, Gherardo, et al.. (1997). Uso del sensore iperspettrale MIVIS per la realizzazione di cartografia forestale a media e grande scala. Florence Research (University of Florence). 9. 54–63.
20.
Maselli, Fabio, et al.. (1996). Evaluation of forest fire risk by the analysis of environmental data and TM images. International Journal of Remote Sensing. 17(7). 1417–1423. 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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