Leonardo Montagnani

23.6k total citations · 1 hit paper
87 papers, 4.4k citations indexed

About

Leonardo Montagnani is a scholar working on Global and Planetary Change, Plant Science and Atmospheric Science. According to data from OpenAlex, Leonardo Montagnani has authored 87 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Global and Planetary Change, 22 papers in Plant Science and 20 papers in Atmospheric Science. Recurrent topics in Leonardo Montagnani's work include Plant Water Relations and Carbon Dynamics (67 papers), Atmospheric and Environmental Gas Dynamics (29 papers) and Climate variability and models (23 papers). Leonardo Montagnani is often cited by papers focused on Plant Water Relations and Carbon Dynamics (67 papers), Atmospheric and Environmental Gas Dynamics (29 papers) and Climate variability and models (23 papers). Leonardo Montagnani collaborates with scholars based in Italy, Germany and United States. Leonardo Montagnani's co-authors include Georg Wohlfahrt, Markus Reichstein, Alessandro Cescatti, Christof Ammann, Sonia I. Seneviratne, Eddy Moors, Christian Bernhofer, Philippe Ciais, Damiano Zanotelli and Massimo Tagliavini and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Leonardo Montagnani

83 papers receiving 4.3k citations

Hit Papers

Contrasting response of European forest and grassland ene... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonardo Montagnani Italy 35 3.6k 1.3k 948 689 670 87 4.4k
J.A. Elbers Netherlands 29 3.1k 0.9× 1.0k 0.8× 924 1.0× 916 1.3× 573 0.9× 45 4.0k
Natascha Kljun United Kingdom 33 4.1k 1.1× 1.7k 1.3× 1.6k 1.7× 1.2k 1.7× 649 1.0× 98 5.3k
Eyal Rotenberg Israel 31 2.9k 0.8× 1.3k 1.0× 794 0.8× 529 0.8× 640 1.0× 71 3.6k
Nobuko Saigusa Japan 37 3.1k 0.9× 1.0k 0.8× 1.1k 1.1× 627 0.9× 659 1.0× 110 3.9k
Eva van Gorsel Australia 33 3.0k 0.8× 1.0k 0.8× 890 0.9× 893 1.3× 437 0.7× 55 3.6k
Martin G. De Kauwe Australia 41 4.6k 1.3× 1.8k 1.4× 996 1.1× 639 0.9× 1.5k 2.2× 105 5.6k
Pasi Kolari Finland 39 3.0k 0.8× 1.4k 1.1× 961 1.0× 363 0.5× 1.2k 1.8× 127 3.9k
Matteo Detto United States 43 3.1k 0.9× 1.2k 0.9× 1.4k 1.5× 770 1.1× 695 1.0× 103 4.7k
Kyaw Tha Paw U United States 31 3.1k 0.9× 1.3k 1.0× 698 0.7× 771 1.1× 682 1.0× 94 4.1k
Lina M. Mercado United Kingdom 28 3.0k 0.8× 1.5k 1.1× 605 0.6× 411 0.6× 945 1.4× 63 3.9k

Countries citing papers authored by Leonardo Montagnani

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Montagnani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Montagnani

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Montagnani. A scholar is included among the top collaborators of Leonardo Montagnani 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 Leonardo Montagnani. Leonardo Montagnani 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.
Gharun, Mana, Ankit Shekhar, Lukas Hörtnagl, et al.. (2025). Impact of winter warming on CO 2 fluxes in evergreen needleleaf forests. Biogeosciences. 22(5). 1393–1411. 1 indexed citations
2.
Torresani, Michele, Christian Rossi, Marco Mina, et al.. (2025). Spectral heterogeneity from the spaceborne imaging spectrometer EnMAP reveals biodiversity patterns in forest ecosystems. International Journal of Applied Earth Observation and Geoinformation. 144. 104902–104902. 1 indexed citations
3.
Torresani, Michele, Leonardo Montagnani, Duccio Rocchini, et al.. (2024). LiDAR insights on stand structure and topography in mountain forest wind extreme events: The Vaia case study. Agricultural and Forest Meteorology. 359. 110267–110267. 2 indexed citations
4.
Montagnani, Leonardo, et al.. (2023). Understanding Carbon Sequestration, Allocation, and Ecosystem Storage in a Grassed Vineyard. SSRN Electronic Journal. 1 indexed citations
5.
González, Carina V., et al.. (2023). Understanding carbon sequestration, allocation, and ecosystem storage in a grassed vineyard. Geoderma Regional. 34. e00674–e00674. 4 indexed citations
6.
Speak, Andrew, et al.. (2021). The impact of different tree planting strategies on ecosystem services and disservices in the piazzas of a northern Italian city. Urban Ecosystems. 25(2). 355–366. 12 indexed citations
7.
Song, Rui, Jan‐Peter Müller, William Woodgate, et al.. (2020). Validation of Space-Based Albedo Products from Upscaled Tower-Based Measurements Over Heterogeneous and Homogeneous Landscapes. Remote Sensing. 12(5). 833–833. 17 indexed citations
8.
Eller, Cleiton B., Lucy Rowland, Maurizio Mencuccini, et al.. (2020). Stomatal optimization based on xylem hydraulics (SOX) improves land surface model simulation of vegetation responses to climate. New Phytologist. 226(6). 1622–1637. 111 indexed citations
9.
Montagnani, Leonardo, Andrew Speak, Camilla Wellstein, et al.. (2019). Evidence for a non-linear carbon accumulation pattern along an Alpine glacier retreat chronosequence in Northern Italy. PeerJ. 7. e7703–e7703. 8 indexed citations
10.
Collalti, Alessio, Sergio Marconi, Andreas Ibrom, et al.. (2016). Validation of 3D-CMCC Forest Ecosystem Model (v.5.1) against eddy covariance data for 10 European forest sites. Geoscientific model development. 9(2). 479–504. 38 indexed citations
11.
Gerbig, Christoph, Kai Uwe Totsche, A. J. Dolman, et al.. (2015). An objective prior error quantification for regional atmospheric inverse applications. Biogeosciences. 12(24). 7403–7421. 13 indexed citations
12.
Parazoo, Nicholas C., K. W. Bowman, Joshua B. Fisher, et al.. (2014). Terrestrial gross primary production inferred from satellite fluorescence and vegetation models. Global Change Biology. 20(10). 3103–3121. 171 indexed citations
13.
Kuppel, Sylvain, Philippe Peylin, Fabienne Maignan, et al.. (2014). Model–data fusion across ecosystems: from multisite optimizations to global simulations. Geoscientific model development. 7(6). 2581–2597. 39 indexed citations
14.
Verma, Manish, M. A. Friedl, Andrew D. Richardson, et al.. (2014). Remote sensing of annual terrestrial gross primary productivity from MODIS: an assessment using the FLUXNET La Thuile data set. Biogeosciences. 11(8). 2185–2200. 69 indexed citations
15.
Song, Bing, Shuli Niu, Yiqi Luo, et al.. (2014). Divergent apparent temperature sensitivity of terrestrial ecosystem respiration. Journal of Plant Ecology. 7(5). 419–428. 17 indexed citations
16.
Zanotelli, Damiano, Leonardo Montagnani, Giovanni Manca, & Massimo Tagliavini. (2013). Net primary productivity, allocation pattern and carbon use efficiency in an apple orchard assessed by integrating eddy covariance, biometric and continuous soil chamber measurements. Biogeosciences. 10(5). 3089–3108. 74 indexed citations
17.
Fleischer, Katrin, Karin T. Rebel, M. K. van der Molen, et al.. (2013). The contribution of nitrogen deposition to the photosynthetic capacity of forests. Global Biogeochemical Cycles. 27(1). 187–199. 5 indexed citations
18.
Stoy, Paul C., Andrew D. Richardson, Dennis Baldocchi, et al.. (2009). Biosphere-atmosphere exchange of CO 2 in relation to climate: a cross-biome analysis across multiple time scales. Biogeosciences. 6(10). 2297–2312. 119 indexed citations
19.
Moderow, Uta, Marc Aubinet, Christian Feigenwinter, et al.. (2009). Available energy and energy balance closure at four coniferous forest sites across Europe. Theoretical and Applied Climatology. 98(3-4). 397–412. 60 indexed citations
20.
Montagnani, Leonardo, et al.. (2007). A New Methodology For Estimating CO2 Advective Fluxes In Complex Terrain. AGU Fall Meeting Abstracts. 2007. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026