Chiara Corbari

1.9k total citations
83 papers, 1.2k citations indexed

About

Chiara Corbari is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Chiara Corbari has authored 83 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Global and Planetary Change, 30 papers in Environmental Engineering and 26 papers in Water Science and Technology. Recurrent topics in Chiara Corbari's work include Plant Water Relations and Carbon Dynamics (52 papers), Hydrology and Watershed Management Studies (25 papers) and Irrigation Practices and Water Management (15 papers). Chiara Corbari is often cited by papers focused on Plant Water Relations and Carbon Dynamics (52 papers), Hydrology and Watershed Management Studies (25 papers) and Irrigation Practices and Water Management (15 papers). Chiara Corbari collaborates with scholars based in Italy, Spain and China. Chiara Corbari's co-authors include Marco Mancini, Giovanni Ravazzani, José A. Sobrino, M. Mancini, Daniele Masseroni, Marco Mancini, Juan C. Jiménez‐Muñoz, D. Rabuffetti, Alessandro Ceppi and Mauro Mancini and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Chiara Corbari

76 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiara Corbari Italy 21 796 522 420 249 242 83 1.2k
Shujing Qin China 23 725 0.9× 333 0.6× 296 0.7× 329 1.3× 189 0.8× 49 1.3k
Yufeng Luo China 16 824 1.0× 695 1.3× 248 0.6× 224 0.9× 173 0.7× 45 1.2k
Shivam Tripathi India 19 1.1k 1.4× 502 1.0× 418 1.0× 207 0.8× 624 2.6× 60 1.7k
Daniel Itenfisu Canada 10 825 1.0× 342 0.7× 241 0.6× 355 1.4× 150 0.6× 12 1.1k
Mohsin Hafeez Australia 18 514 0.6× 522 1.0× 292 0.7× 211 0.8× 141 0.6× 48 1.1k
Marco Mancini Italy 24 1.1k 1.4× 825 1.6× 606 1.4× 255 1.0× 487 2.0× 59 1.8k
Yujiu Xiong China 22 761 1.0× 446 0.9× 469 1.1× 125 0.5× 242 1.0× 55 1.4k
Jeppe Kjaersgaard United States 19 989 1.2× 453 0.9× 317 0.8× 250 1.0× 112 0.5× 43 1.2k
Shengqi Jian China 18 1.0k 1.3× 866 1.7× 774 1.8× 302 1.2× 326 1.3× 69 1.7k
Giovanni Ravazzani Italy 24 845 1.1× 870 1.7× 350 0.8× 231 0.9× 405 1.7× 79 1.4k

Countries citing papers authored by Chiara Corbari

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Corbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Corbari

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Corbari. A scholar is included among the top collaborators of Chiara Corbari 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 Chiara Corbari. Chiara Corbari 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.
Corbari, Chiara, et al.. (2025). Salinity stress and water availability inferred from satellite leaf area index assimilated into a water-energy-crop model. Precision Agriculture. 26(6). 1 indexed citations
2.
Jia, Aolin, Kaniska Mallick, Ziyu Lin, et al.. (2025). Sensitivity of thermal evapotranspiration models to surface and atmospheric drivers across ecosystems and aridity. Agricultural and Forest Meteorology. 376. 110930–110930.
3.
Luo, Yufeng, et al.. (2025). Paddy field irrigation forecast based on a satellite data driven energy water balance model. Agricultural Water Management. 321. 109945–109945.
4.
Cammalleri, Carmelo, Martha C. Anderson, Nicolás Bambach, et al.. (2024). A fully remote sensing-based implementation of the two-source energy balance model: an application over Mediterranean crops. Agricultural Water Management. 306. 109207–109207. 1 indexed citations
5.
6.
Corbari, Chiara, et al.. (2024). Multi-scale EO-based agricultural drought monitoring indicator for operative irrigation networks management in Italy. Journal of Hydrology Regional Studies. 52. 101732–101732. 5 indexed citations
7.
Nicoletti, Giuseppe, et al.. (2023). Automatic and Non-Invasive Monitoring of Water Stress in Vineyards. SHILAP Revista de lepidopterología. 79–79.
8.
Corbari, Chiara & Marco Mancini. (2022). Irrigation efficiency optimization at multiple stakeholders’ levels based on remote sensing data and energy water balance modelling. Irrigation Science. 41(1). 121–139. 22 indexed citations
9.
Zribi, Mehrez, Chiara Corbari, Marco Mancini, et al.. (2022). Integrating process-related information into an artificial neural network for root-zone soil moisture prediction. Hydrology and earth system sciences. 26(12). 3263–3297. 11 indexed citations
10.
Montenegro, Suzana Maria Gico Lima, et al.. (2021). Calibration of FEST-EWB hydrological model using remote sensing data in a climate transition region in Brazil. Hydrological Sciences Journal. 66(3). 513–524. 7 indexed citations
11.
Corbari, Chiara, Alessandro Ceppi, Giovanni Ravazzani, et al.. (2019). SIM: smart irrigation from soil moisture forecast using satellite and hydro -meteorological modelling. EGUGA. 16137. 1 indexed citations
12.
Fang, Yuanhao, Xingnan Zhang, Chiara Corbari, et al.. (2017). Improving the Xin'anjiang hydrological model based on mass–energy balance. Hydrology and earth system sciences. 21(7). 3359–3375. 30 indexed citations
13.
Ceppi, Alessandro, et al.. (2014). Real-time drought forecasting system for irrigation management. Hydrology and earth system sciences. 18(9). 3353–3366. 37 indexed citations
14.
Mancini, Marco, Chiara Corbari, Jiren Li, et al.. (2014). Satellite Data and Hydrological Model to Asses Water Quantity and Quality in the Yangtze River Basin. ESASP. 724. 42. 1 indexed citations
15.
16.
Masseroni, Daniele, Giovanni Ravazzani, Chiara Corbari, & M. Mancini. (2012). Turbulence integral length and footprint dimension with reference to experimental data measured over maize cultivation in Po Valley, Italy. Atmósfera. 25(2). 183–198. 15 indexed citations
17.
Maltese, Antonino, et al.. (2012). PLANKTOTHRIX RUBESCENS IN FRESHWATER RESERVOIRS: THE SENTINEL-2 POTENTIALITY FOR MAPPING PHYCOCYANIN CONCENTRATION. Nova Science Publishers (Nova Science Publishers, Inc.). 707. 37. 3 indexed citations
18.
Ravazzani, Giovanni, et al.. (2011). Correlazione tra la dimensione del footrpint e le variabili esogene misurate da stazioni eddy covariance in Pianura Padana, Italia.. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1(1). 25–36. 2 indexed citations
19.
Corbari, Chiara, et al.. (2010). Land surface temperature representativeness in a heterogeneous area through a distributed energy-water balance model and remote sensing data. Hydrology and earth system sciences. 14(10). 2141–2151. 28 indexed citations
20.
Corbari, Chiara, et al.. (2009). Elevation based correction of snow coverage retrieved from satellite images to improve model calibration. Hydrology and earth system sciences. 13(5). 639–649. 39 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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