Mauro Maesano

971 total citations
45 papers, 701 citations indexed

About

Mauro Maesano is a scholar working on Global and Planetary Change, Environmental Engineering and Insect Science. According to data from OpenAlex, Mauro Maesano has authored 45 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Global and Planetary Change, 13 papers in Environmental Engineering and 12 papers in Insect Science. Recurrent topics in Mauro Maesano's work include Forest Management and Policy (15 papers), Forest Ecology and Biodiversity Studies (12 papers) and Remote Sensing and LiDAR Applications (10 papers). Mauro Maesano is often cited by papers focused on Forest Management and Policy (15 papers), Forest Ecology and Biodiversity Studies (12 papers) and Remote Sensing and LiDAR Applications (10 papers). Mauro Maesano collaborates with scholars based in Italy, United States and Australia. Mauro Maesano's co-authors include Marco Marchetti, Giuseppe Scarascia Mugnozza, Rodolfo Picchio, Enrico Marchi, Bruno Lasserre, Gioṙgio Matteucci, Antoine Harfouche, Simona Castaldi, David A. Coomes and Jeremy Lindsell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Plant Science and Forest Ecology and Management.

In The Last Decade

Mauro Maesano

41 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mauro Maesano Italy 16 367 178 177 173 148 45 701
Pedro Álvarez-Álvarez Spain 18 387 1.1× 150 0.8× 336 1.9× 79 0.5× 135 0.9× 52 849
Tom Jovanovic Australia 20 322 0.9× 137 0.8× 272 1.5× 90 0.5× 135 0.9× 41 947
Angela Lo Monaco Italy 19 238 0.6× 95 0.5× 186 1.1× 274 1.6× 68 0.5× 72 956
Alexander M. Evans United States 16 532 1.4× 283 1.6× 230 1.3× 130 0.8× 73 0.5× 36 843
Andis Lazdiņš Latvia 13 320 0.9× 176 1.0× 167 0.9× 327 1.9× 75 0.5× 117 789
Eddie Bevilacqua United States 15 448 1.2× 106 0.6× 289 1.6× 56 0.3× 94 0.6× 46 717
Róbert Marušák Czechia 14 357 1.0× 84 0.5× 292 1.6× 83 0.5× 91 0.6× 69 601
Steve Colombo Canada 11 525 1.4× 79 0.4× 310 1.8× 121 0.7× 152 1.0× 19 850
Joanne Fitzgerald Ireland 9 398 1.1× 147 0.8× 289 1.6× 61 0.4× 74 0.5× 12 711
Zoltán Somogyi Hungary 14 503 1.4× 156 0.9× 424 2.4× 64 0.4× 225 1.5× 23 806

Countries citing papers authored by Mauro Maesano

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Maesano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Maesano

This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Maesano. A scholar is included among the top collaborators of Mauro Maesano 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 Mauro Maesano. Mauro Maesano 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
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Maesano, Mauro, et al.. (2025). Evaluating Shallow Landslide Prediction Mapping by Using Two Different GIS-Based Models: 4SLIDE and SHALSTAB. ISPRS International Journal of Geo-Information. 14(4). 144–144.
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Castrignanò, Annamaria, et al.. (2023). Improving the Spatial Prediction of Sand Content in Forest Soils Using a Multivariate Geostatistical Analysis of LiDAR and Hyperspectral Data. Remote Sensing. 15(18). 4416–4416. 3 indexed citations
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Francini, Saverio, Ronald E. McRoberts, Luca Congedo, et al.. (2023). Estimating Afforestation Area Using Landsat Time Series and Photointerpreted Datasets. Remote Sensing. 15(4). 923–923. 16 indexed citations
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Francini, Saverio, Giovanni D’Amico, Ronald E. McRoberts, et al.. (2023). Reusing Remote Sensing-Based Validation Data: Comparing Direct and Indirect Approaches for Afforestation Monitoring. Remote Sensing. 15(6). 1638–1638. 10 indexed citations
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Maesano, Mauro, et al.. (2023). Discrimination of Leaves in a Multi-Layered Mediterranean Forest through Machine Learning Algorithms. Remote Sensing. 15(18). 4450–4450. 3 indexed citations
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Santopuoli, Giovanni, Markus Hollaus, Norbert Pfeifer, et al.. (2021). Terrestrial Laser Scanning for Quantifying Timber Assortments from Standing Trees in a Mixed and Multi-Layered Mediterranean Forest. Remote Sensing. 13(21). 4265–4265. 8 indexed citations
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Maesano, Mauro, et al.. (2020). Mapping Landslide Prediction through a GIS-Based Model: A Case Study in a Catchment in Southern Italy. Geosciences. 10(8). 309–309. 19 indexed citations
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Santopuoli, Giovanni, Mirko Di Febbraro, Mauro Maesano, et al.. (2020). Machine Learning Algorithms to Predict Tree-Related Microhabitats using Airborne Laser Scanning. Remote Sensing. 12(13). 2142–2142. 15 indexed citations
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Maesano, Mauro, Sacha Khoury, Andrea Firrincieli, et al.. (2020). UAV-Based LiDAR for High-Throughput Determination of Plant Height and Above-Ground Biomass of the Bioenergy Grass Arundo donax. Remote Sensing. 12(20). 3464–3464. 40 indexed citations
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Maesano, Mauro, et al.. (2019). Root Biomechanical Traits in a Montane Mediterranean Forest Watershed: Variations with Species Diversity and Soil Depth. Forests. 10(4). 341–341. 29 indexed citations
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Collalti, Alessio, Gabriele Buttafuocò, Mauro Maesano, et al.. (2017). Simulation, calibration and validation protocols for the model 3D-CMCC-CNR-FEM: a case study in the Bonis’ watershed (Calabria, Italy). SHILAP Revista de lepidopterología. 14(4). 247–256. 10 indexed citations
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Maesano, Mauro, et al.. (2014). First mapping of the main high conservation value forests (HCVFs) at national scale: The case of Italy. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 150(2). 208–216. 18 indexed citations
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Maesano, Mauro, Bruno Lasserre, & Marco Marchetti. (2014). Increasing wood mobilization through Sustainable Forest Management in protected areas of Italy. SHILAP Revista de lepidopterología. 3 indexed citations
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Maesano, Mauro, Rudi Drigo, Bruno Lasserre, Gherardo Chirici, & Marco Marchetti. (2014). Forest biomass for bioenergy: opportunities and constraints for a good governance. A case study from Italy. Drewno Prace Naukowe Doniesienia Komunikaty = Wood Research Papers Reports Announcements. 57(192). 63–76. 3 indexed citations
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Picchio, Rodolfo, et al.. (2009). Productivity and Energy Balance in Conversion of a Quercus Cerris L. Coppice Stand into High Forest in Central Italy. Croatian journal of forest engineering. 30(1). 15–26. 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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