Matteo Pecchi

578 total citations
10 papers, 340 citations indexed

About

Matteo Pecchi is a scholar working on Nature and Landscape Conservation, Ecology and Ecological Modeling. According to data from OpenAlex, Matteo Pecchi has authored 10 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nature and Landscape Conservation, 5 papers in Ecology and 3 papers in Ecological Modeling. Recurrent topics in Matteo Pecchi's work include Forest ecology and management (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Species Distribution and Climate Change (3 papers). Matteo Pecchi is often cited by papers focused on Forest ecology and management (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Species Distribution and Climate Change (3 papers). Matteo Pecchi collaborates with scholars based in Italy, Netherlands and United Kingdom. Matteo Pecchi's co-authors include Gherardo Chirici, Francesca Giannetti, Iacopo Bernetti, Maurizio Marchi, Marco Moriondo, Marco Bindi, Vanessa Burton, Davide Travaglini, Fabio Maselli and Piermaria Corona and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ecological Modelling and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Matteo Pecchi

9 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Pecchi Italy 6 169 156 153 115 96 10 340
Ute Bradter United Kingdom 11 279 1.7× 187 1.2× 150 1.0× 95 0.8× 43 0.4× 19 427
Luke J. Zachmann United States 11 262 1.6× 132 0.8× 131 0.9× 165 1.4× 49 0.5× 19 364
Ahmet Mert Türkiye 12 178 1.1× 126 0.8× 147 1.0× 118 1.0× 74 0.8× 43 425
Amy J.S. Davis United States 11 166 1.0× 77 0.5× 154 1.0× 93 0.8× 54 0.6× 20 340
Yaozhan Xu China 10 94 0.6× 61 0.4× 275 1.8× 157 1.4× 52 0.5× 27 358
Nicholas W. Synes United Kingdom 8 224 1.3× 255 1.6× 209 1.4× 148 1.3× 25 0.3× 8 418
Soyeon Bae Germany 8 108 0.6× 64 0.4× 84 0.5× 66 0.6× 47 0.5× 16 211
Anne Ghisla Italy 7 224 1.3× 68 0.4× 122 0.8× 96 0.8× 34 0.4× 9 352
Sanne Govaert Belgium 9 73 0.4× 109 0.7× 172 1.1× 121 1.1× 35 0.4× 14 313
E. M. Cawsey Australia 7 146 0.9× 175 1.1× 220 1.4× 133 1.2× 16 0.2× 10 354

Countries citing papers authored by Matteo Pecchi

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Pecchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Pecchi

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

All Works

10 of 10 papers shown
1.
Mattioli, Walter, R. Romano, Gherardo Chirici, et al.. (2025). The Forest Map of Italy (CFI2020): an updated portrait of Italian forests. Forest - Rivista di Selvicoltura ed Ecologia Forestale. 22(3). 39–44.
2.
Pecchi, Matteo, et al.. (2024). Towards open data sharing initiatives in the forestry sector: The example of the Italian National Forestry Information System (SINFor). Forest Policy and Economics. 169. 103320–103320. 3 indexed citations
3.
Chirici, Gherardo, Davide Travaglini, Matteo Pecchi, et al.. (2022). Characterization of Wildfires and Harvesting Forest Disturbances and Recovery Using Landsat Time Series: A Case Study in Mediterranean Forests in Central Italy. Fire. 5(3). 68–68. 9 indexed citations
4.
Giannetti, Francesca, Matteo Pecchi, Davide Travaglini, et al.. (2021). Estimating VAIA Windstorm Damaged Forest Area in Italy Using Time Series Sentinel-2 Imagery and Continuous Change Detection Algorithms. Forests. 12(6). 680–680. 40 indexed citations
5.
Pecchi, Matteo, Maurizio Marchi, Marco Moriondo, et al.. (2020). Potential Impact of Climate Change on the Forest Coverage and the Spatial Distribution of 19 Key Forest Tree Species in Italy under RCP4.5 IPCC Trajectory for 2050s. Forests. 11(9). 934–934. 22 indexed citations
6.
Forzieri, Giovanni, Marco Girardello, Guido Ceccherini, et al.. (2019). Vulnerability of European forests to climate risks. EGUGA. 15017. 1 indexed citations
7.
Sottini, Veronica Alampi, et al.. (2019). Visual perception of the rural landscape: a study case in Val di Chiana aretina, Tuscany (Italy). SHILAP Revista de lepidopterología. 4 indexed citations
8.
Pecchi, Matteo, Maurizio Marchi, Vanessa Burton, et al.. (2019). Species distribution modelling to support forest management. A literature review. Ecological Modelling. 411. 108817–108817. 168 indexed citations
9.
Pecchi, Matteo, Maurizio Marchi, Francesca Giannetti, et al.. (2019). Reviewing climatic traits for the main forest tree species in Italy. iForest - Biogeosciences and Forestry. 12(2). 173–180. 19 indexed citations
10.
Chirici, Gherardo, Francesca Giannetti, Ronald E. McRoberts, et al.. (2019). Wall-to-wall spatial prediction of growing stock volume based on Italian National Forest Inventory plots and remotely sensed data. International Journal of Applied Earth Observation and Geoinformation. 84. 101959–101959. 74 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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