Micol Rossini

8.7k total citations · 2 hit papers
119 papers, 5.5k citations indexed

About

Micol Rossini is a scholar working on Ecology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Micol Rossini has authored 119 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Ecology, 66 papers in Global and Planetary Change and 33 papers in Atmospheric Science. Recurrent topics in Micol Rossini's work include Remote Sensing in Agriculture (73 papers), Plant Water Relations and Carbon Dynamics (38 papers) and Atmospheric and Environmental Gas Dynamics (19 papers). Micol Rossini is often cited by papers focused on Remote Sensing in Agriculture (73 papers), Plant Water Relations and Carbon Dynamics (38 papers) and Atmospheric and Environmental Gas Dynamics (19 papers). Micol Rossini collaborates with scholars based in Italy, Germany and Spain. Micol Rossini's co-authors include Roberto Colombo, Michele Meroni, Uwe Rascher, Cinzia Panigada, Sergio Cogliati, Mirco Migliavacca, Lorenzo Busetto, Luis Guanter, Tommaso Julitta and Luis Alonso and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Micol Rossini

116 papers receiving 5.4k citations

Hit Papers

Remote sensing of solar-induced chlorophyll fluorescence:... 2009 2026 2014 2020 2009 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Micol Rossini Italy 40 3.8k 3.3k 1.6k 1.0k 1.0k 119 5.5k
Roberto Colombo Italy 47 4.2k 1.1× 3.9k 1.2× 1.7k 1.0× 1.6k 1.6× 1.5k 1.4× 150 6.9k
Jing M. Chen Canada 44 3.6k 1.0× 4.0k 1.2× 1.8k 1.1× 1.6k 1.6× 1.2k 1.1× 124 6.3k
Christiaan van der Tol Netherlands 44 5.1k 1.3× 5.5k 1.7× 2.1k 1.3× 1.8k 1.7× 946 0.9× 152 7.6k
Troy S. Magney United States 40 3.3k 0.9× 3.5k 1.0× 1.3k 0.8× 1.3k 1.3× 834 0.8× 106 5.2k
Zbyněk Malenovský Australia 30 3.3k 0.9× 1.9k 0.6× 1.2k 0.8× 2.0k 1.9× 478 0.5× 89 4.7k
K. F. Huemmrich United States 38 5.2k 1.4× 4.8k 1.5× 1.2k 0.7× 2.5k 2.4× 1.3k 1.3× 90 7.2k
Elizabeth M. Middleton United States 36 2.7k 0.7× 2.4k 0.7× 881 0.5× 1.2k 1.1× 597 0.6× 99 4.1k
Alexander Damm Switzerland 35 2.3k 0.6× 2.4k 0.7× 758 0.5× 793 0.8× 583 0.6× 94 3.6k
Martin Schlerf Netherlands 36 3.6k 1.0× 1.7k 0.5× 1.7k 1.1× 1.7k 1.7× 520 0.5× 94 4.7k
Peter North United Kingdom 38 3.0k 0.8× 3.0k 0.9× 1.2k 0.7× 1.9k 1.8× 1.2k 1.2× 96 5.0k

Countries citing papers authored by Micol Rossini

Since Specialization
Citations

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

Fields of papers citing papers by Micol Rossini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Micol Rossini

This figure shows the co-authorship network connecting the top 25 collaborators of Micol Rossini. A scholar is included among the top collaborators of Micol Rossini 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 Micol Rossini. Micol Rossini 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.
Wen, Jiaming, Giulia Tagliabue, Micol Rossini, et al.. (2025). Detection of fast-changing intra-seasonal vegetation dynamics of drylands using solar-induced chlorophyll fluorescence (SIF). Biogeosciences. 22(8). 2049–2067. 1 indexed citations
2.
Zeng, Yelu, Dalei Hao, Nikolay V. Shabanov, et al.. (2025). Combining geometric-optical and spectral invariants theories for modeling canopy fluorescence anisotropy. Remote Sensing of Environment. 323. 114716–114716.
3.
Tagliabue, Giulia, et al.. (2024). Integrating Drone-Based LiDAR and Multispectral Data for Tree Monitoring. Drones. 8(12). 744–744. 4 indexed citations
4.
Zhang, Xiaokang, et al.. (2022). Physiological dynamics dominate the response of canopy far-red solar-induced fluorescence to herbicide treatment. Agricultural and Forest Meteorology. 323. 109063–109063. 19 indexed citations
5.
Pacheco‐Labrador, Javier, Mirco Migliavacca, Miguel D. Mahecha, et al.. (2021). Performance of Singular Spectrum Analysis in Separating Seasonal and Fast Physiological Dynamics of Solar‐Induced Chlorophyll Fluorescence and PRI Optical Signals. Journal of Geophysical Research Biogeosciences. 126(9). 12 indexed citations
7.
Panigada, Cinzia, Micol Rossini, Giulia Tagliabue, et al.. (2019). Scaling Up from Drone to Satellite for Monitoring Dryland Ecosystem Phenology. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
8.
Julitta, Tommaso, et al.. (2018). Characterisation of reflectance and chlorophyll fluorescence anisotropy – defining requirements for an experimental setup.. BOA (University of Milano-Bicocca). 16936. 1 indexed citations
9.
Mauro, Biagio Di, Roberto Garzonio, Micol Rossini, et al.. (2018). On the role of Saharan dust events on snow season duration in the European Alps. EGUGA. 12169. 1 indexed citations
10.
Mauro, Biagio Di, Giovanni Baccolo, Roberto Garzonio, et al.. (2017). Impact of impurities and cryoconite on the optical properties of the Morteratsch Glacier (Swiss Alps). ˜The œcryosphere. 11(6). 2393–2409. 66 indexed citations
11.
Colombo, Roberto, Michele Meroni, & Micol Rossini. (2016). DEVELOPMENT OF FLUORESCENCE INDICES TO MINIMISE THE EFFECTS OF CANOPY STRUCTURAL PARAMETERS. BOA (University of Milano-Bicocca). 6. 77–83.
12.
Porcar‐Castell, Albert, Micol Rossini, Lars Eklundh, et al.. (2015). EUROSPEC: at the interface between remote-sensing and ecosystem CO 2 flux measurements in Europe. Biogeosciences. 12(20). 6103–6124. 53 indexed citations
15.
Migliavacca, Mirco, Tarek S. El‐Madany, Jin‐Hong Guan, et al.. (2015). Large and Small Scale Nitrogen and Phosporous Manipulation Experiment in a Tree-Grass Ecosystem: first year of results. EGU General Assembly Conference Abstracts. 8475. 2 indexed citations
16.
Cilia, Chiara, Cinzia Panigada, Micol Rossini, et al.. (2015). Mapping of Asbestos Cement Roofs and Their Weathering Status Using Hyperspectral Aerial Images. ISPRS International Journal of Geo-Information. 4(2). 928–941. 34 indexed citations
17.
Julitta, Tommaso, Edoardo Cremonese, Roberto Colombo, et al.. (2013). Snow melt and phenology of a subalpine grassland: analysis through the use of digital camera images.. EGUGA. 1 indexed citations
18.
Rossini, Micol, Sergio Cogliati, Michele Meroni, et al.. (2013). Airborne hyperspectral imagery for early water stress detection in maize. ISPRS Journal of Photogrammetry and Remote Sensing. 168–177. 2 indexed citations
19.
Rossini, Micol, Sergio Cogliati, Michele Meroni, et al.. (2012). Remote sensing-based estimation of gross primary production in a subalpine grassland. Biogeosciences. 9(7). 2565–2584. 93 indexed citations
20.
Cogliati, Sergio, Micol Rossini, Michele Meroni, et al.. (2011). Unattended instruments for ground-based hyperspectral measurements: development and application for plant photosynthesis monitoring. AGUFM. 2011. 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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