Marta Chiesi

2.2k total citations
90 papers, 1.7k citations indexed

About

Marta Chiesi is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Marta Chiesi has authored 90 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Global and Planetary Change, 52 papers in Ecology and 51 papers in Environmental Engineering. Recurrent topics in Marta Chiesi's work include Plant Water Relations and Carbon Dynamics (60 papers), Remote Sensing in Agriculture (52 papers) and Remote Sensing and LiDAR Applications (37 papers). Marta Chiesi is often cited by papers focused on Plant Water Relations and Carbon Dynamics (60 papers), Remote Sensing in Agriculture (52 papers) and Remote Sensing and LiDAR Applications (37 papers). Marta Chiesi collaborates with scholars based in Italy, United States and Spain. Marta Chiesi's co-authors include Fabio Maselli, Luca Fibbi, Marco Moriondo, Gherardo Chirici, Marco Bindi, Piermaria Corona, Luca Angeli, G. Seufert, María Amparo Gilabert Navarro and Dario Papale and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Marta Chiesi

87 papers receiving 1.6k citations

Peers

Marta Chiesi

GPC

ECOLO

NLC

Mitchell Schull United States

Valérie Le Dantec France

Qin Ma China

Ricardo Dalagnol Brazil

Jinling Song China

Lars L. Pierce United States

Alicia Palacios‐Orueta Spain

Stéphane Mermoz France

Ronghai Hu China

Heather Reese Sweden

Mitchell Schull United States

Marta Chiesi

900 ×0.8

GPC

1.2k ×1.4

ECOLO

663 ×0.9

167 ×0.4

NLC

304 ×1.2

Citations per year, relative to Marta Chiesi Marta Chiesi (= 1×) peers Mitchell Schull

Countries citing papers authored by Marta Chiesi

Since Specialization

Citations

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

Fields of papers citing papers by Marta Chiesi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Chiesi

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

All Works

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20 of 20 papers shown

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

Fibbi, Luca, et al.. (2025). Integration of LSA SAF ET products and MODIS thermal infrared images for improved prediction of forest evapotranspiration. Remote Sensing Letters. 16(4). 400–411.

Chiesi, Marta, Luca Fibbi, Silvana Vanucci, & Fabio Maselli. (2024). Use of Remote Sensing and Biogeochemical Modeling to Simulate the Impact of Climatic and Anthropogenic Factors on Forest Carbon Fluxes. Remote Sensing. 16(2). 232–232. 1 indexed citations

Dalmonech, Daniela, Elia Vangi, Marta Chiesi, et al.. (2024). Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. Remote-Sensing multiple datasets. European Journal of Remote Sensing. 57(1). 12 indexed citations

Battista, P., Marta Chiesi, Sergi Costafreda-Aumedes, et al.. (2023). Estimating the effect of water shortage on olive trees by the combination of meteorological and Sentinel-2 data. European Journal of Remote Sensing. 56(1). 6 indexed citations

Maselli, Fabio, Luca Fibbi, B. Rapi, et al.. (2023). Assessment and Analysis of Crop Irrigation by the Combination of Modelling and Remote Sensing Techniques. Water Resources Management. 37(12). 4823–4839.

Chiesi, Marta, Luca Fibbi, P. Battista, et al.. (2022). Assessment of Water Stress Conditions in Central Italy by the Use of Ground and Remotely Sensed Weather Datasets. Water. 14(19). 3101–3101. 1 indexed citations

Chiesi, Marta, Luca Angeli, P. Battista, et al.. (2022). Monitoring and analysis of crop irrigation dynamics in Central Italy through the use of MODIS NDVI data. European Journal of Remote Sensing. 55(1). 23–36. 7 indexed citations

Giannetti, Francesca, Gherardo Chirici, Elia Vangi, et al.. (2022). Wall-to-Wall Mapping of Forest Biomass and Wood Volume Increment in Italy. Forests. 13(12). 1989–1989. 9 indexed citations

10.

Brilli, Lorenzo, Federico Carotenuto, Marta Chiesi, et al.. (2022). An integrated approach to estimate how much urban afforestation can contribute to move towards carbon neutrality. The Science of The Total Environment. 842. 156843–156843. 18 indexed citations

11.

Santi, E., Marta Chiesi, Giacomo Fontanelli, et al.. (2021). Mapping Woody Volume of Mediterranean Forests by Using SAR and Machine Learning: A Case Study in Central Italy. Remote Sensing. 13(4). 809–809. 5 indexed citations

12.

Chiesi, Marta, P. Battista, Luca Fibbi, et al.. (2018). A Semiempirical Method to Estimate Actual Evapotranspiration in Mediterranean Environments. Advances in Meteorology. 2018. 1–13. 12 indexed citations

13.

Chiesi, Marta, Luca Fibbi, Roberto Tognetti, et al.. (2017). Assessment of inter-annual forest production variations in Italy by the use of remote-sensing and ancillary data. European Journal of Remote Sensing. 50(1). 577–587. 3 indexed citations

14.

Chirici, Gherardo, Marta Chiesi, Piermaria Corona, et al.. (2015). Estimating daily forest carbon fluxes using a combination of ground and remotely sensed data. Journal of Geophysical Research Biogeosciences. 121(2). 266–279. 31 indexed citations

15.

Angeli, Luca, et al.. (2014). Prototype of a drought monitoring and forecasting system for the Tuscany region. Advances in science and research. 11(1). 7–10. 9 indexed citations

16.

Maselli, Fabio, Marta Chiesi, Lorenzo Genesio, et al.. (2013). Monitoring water stress in Mediterranean semi-natural vegetation with satellite and meteorological data. International Journal of Applied Earth Observation and Geoinformation. 26. 246–255. 14 indexed citations

17.

Maselli, Fabio, Giovanni Argenti, Marta Chiesi, Luca Angeli, & Dario Papale. (2013). Simulation of grassland productivity by the combination of ground and satellite data. Agriculture Ecosystems & Environment. 165. 163–172. 46 indexed citations

18.

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

19.

Chiesi, Marta, Paolo Cherubini, & Fabio Maselli. (2011). Adaptation of a modelling strategy to predict the NPP of even-aged forest stands. European Journal of Forest Research. 131(4). 1175–1184. 10 indexed citations

20.

Maselli, Fabio, Marta Chiesi, Anna Barbati, & Piermaria Corona. (2010). Assessment of forest net primary production through the elaboration of multisource ground and remote sensing data. Journal of Environmental Monitoring. 12(5). 1082–1082. 14 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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