Michele Rinaldi

3.1k total citations
99 papers, 2.3k citations indexed

About

Michele Rinaldi is a scholar working on Plant Science, Environmental Engineering and Agronomy and Crop Science. According to data from OpenAlex, Michele Rinaldi has authored 99 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Plant Science, 25 papers in Environmental Engineering and 24 papers in Agronomy and Crop Science. Recurrent topics in Michele Rinaldi's work include Remote Sensing in Agriculture (22 papers), Irrigation Practices and Water Management (18 papers) and Plant Water Relations and Carbon Dynamics (18 papers). Michele Rinaldi is often cited by papers focused on Remote Sensing in Agriculture (22 papers), Irrigation Practices and Water Management (18 papers) and Plant Water Relations and Carbon Dynamics (18 papers). Michele Rinaldi collaborates with scholars based in Italy, Spain and France. Michele Rinaldi's co-authors include Giuseppe Satalino, Francesco Mattia, Pasquale Garofalo, Laura Dente, Gianfranco Rana, Alessandro Vittorio Vonella, Domenico Ventrella, Sergio Ruggieri, Zina Flagella and Thuy Le Toan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Michele Rinaldi

92 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele Rinaldi Italy 26 998 665 616 589 493 99 2.3k
Raffaele Casa Italy 32 1.6k 1.6× 1.7k 2.6× 1.2k 1.9× 429 0.7× 696 1.4× 108 3.4k
B.A.M. Bouman Netherlands 27 2.2k 2.2× 509 0.8× 407 0.7× 974 1.7× 457 0.9× 58 3.1k
D. J. Major Canada 26 1.3k 1.3× 854 1.3× 653 1.1× 279 0.5× 512 1.0× 99 2.8k
Patrick Bertuzzi France 16 649 0.7× 263 0.4× 400 0.6× 494 0.8× 500 1.0× 29 1.6k
Vinay Kumar Sehgal India 24 630 0.6× 447 0.7× 350 0.6× 208 0.4× 569 1.2× 157 1.8k
Philippe Burger France 10 906 0.9× 602 0.9× 367 0.6× 274 0.5× 394 0.8× 12 1.5k
Xiaomao Lin United States 26 905 0.9× 261 0.4× 368 0.6× 338 0.6× 1.0k 2.1× 96 2.4k
Xingang Xu China 28 1.3k 1.3× 1.7k 2.6× 731 1.2× 205 0.3× 680 1.4× 83 2.5k
Xiaojun Liu China 33 2.1k 2.1× 1.9k 2.8× 829 1.3× 483 0.8× 555 1.1× 125 3.4k
José Dorado Spain 29 1.4k 1.4× 540 0.8× 267 0.4× 426 0.7× 126 0.3× 103 2.3k

Countries citing papers authored by Michele Rinaldi

Since Specialization
Citations

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

Fields of papers citing papers by Michele Rinaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Rinaldi

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Rinaldi. A scholar is included among the top collaborators of Michele Rinaldi 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 Michele Rinaldi. Michele Rinaldi 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.
Bahri, Haithem, et al.. (2025). Resilience of conservation agriculture to rainfall deficits: A long-term study on durum wheat yield in Tunisia. Italian Journal of Agronomy. 20(1). 100031–100031. 1 indexed citations
2.
Satalino, Giuseppe, Anna Balenzano, Francesco Lovergine, et al.. (2024). Copernicus Sentinels For Tillage Change Detection. 1249–1252.
3.
Garofalo, Pasquale, M. Riccardi, Paul Di Tommasi, et al.. (2024). AquaCrop model to optimize water supply for a sustainable processing tomato cultivation in the Mediterranean area: A multi-objective approach. Agricultural Systems. 223. 104198–104198. 4 indexed citations
4.
Cammarano, Davide, Sébastien Roux, Annamaria Castrignanò, et al.. (2023). Downscaling the APSIM Crop Model for Simulation at the Within-Field Scale. SSRN Electronic Journal. 2 indexed citations
5.
Mattia, Francesco, Anna Balenzano, Giuseppe Satalino, et al.. (2023). Earth Observation Retrieval and Classification Algorithms for Agriculture. 1428–1431. 2 indexed citations
6.
Castellini, Mirko, Alessandro Vittorio Vonella, Domenico Ventrella, Michele Rinaldi, & Giorgio Baiamonte. (2020). Determining Soil Hydraulic Properties Using Infiltrometer Techniques: An Assessment of Temporal Variability in a Long-Term Experiment under Minimum- and No-Tillage Soil Management. Sustainability. 12(12). 5019–5019. 16 indexed citations
7.
Castellini, Mirko, Francesco Fornaro, Pasquale Garofalo, et al.. (2019). Effects of No-Tillage and Conventional Tillage on Physical and Hydraulic Properties of Fine Textured Soils under Winter Wheat. Water. 11(3). 484–484. 67 indexed citations
8.
Rascio, Agata, et al.. (2019). Measurement of leaf lamina moisture with a low-cost electrical humidity sensor: case study on a wheat water-mutant. BMC Plant Biology. 19(1). 411–411. 11 indexed citations
9.
Barca, Emanuele, Annamaria Castrignanò, Sergio Ruggieri, & Michele Rinaldi. (2019). A new supervised classifier exploiting spectral-spatial information in the Bayesian framework. International Journal of Applied Earth Observation and Geoinformation. 86. 101990–101990. 10 indexed citations
10.
Ronga, Domenico, Federica Caradonia, Jacopo Troisi, et al.. (2018). Evaluation of two groups of quinoa (Chenopodium quinoa Willd.) accessions with different seed colours for adaptation to the Mediterranean environment. Crop and Pasture Science. 69(12). 1264–1275. 23 indexed citations
11.
Castrignanò, Annamaria, et al.. (2015). Validation of Landsat 8 satellite-derived LAI from field measurements in a durum-wheat cropped area in south-eastern Italy. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
12.
13.
Rinaldi, Michele, Agata Rascio, & Pasquale Garofalo. (2015). Sunflower and biomass sorghum photosynthesis response to CO2 enrichment.. Romanian Agricultural Research. 113–122. 6 indexed citations
14.
Rinaldi, Michele, Annamaria Castrignanò, Daniela De Benedetto, et al.. (2014). Discrimination of tomato plants under different irrigation regimes: analysis of hyperspectral sensor data. Environmetrics. 26(2). 77–88. 16 indexed citations
15.
Balenzano, Anna, Giuseppe Satalino, Francesco Lovergine, et al.. (2013). On the use of temporal series of L-and X-band SAR data for soil moisture retrieval. Capitanata plain case study. European Journal of Remote Sensing. 46(1). 721–737. 49 indexed citations
16.
Rinaldi, Michele, et al.. (2013). Expositiones et glose ; Declaratio super "Comediam" Dantis.
17.
Garofalo, Pasquale & Michele Rinaldi. (2013). Water-use efficiency of irrigated biomass sorghum in a Mediterranean environment. Spanish Journal of Agricultural Research. 11(4). 1153–1169. 34 indexed citations
18.
Rinaldi, Michele, et al.. (2003). Evaluation and application of the OILCROP–SUN model for sunflower in southern Italy. Agricultural Systems. 78(1). 17–30. 86 indexed citations
19.
Lenzi, Anna, et al.. (2000). Fertigation systems and substrates in soilless gerbera cultivation.. 29(2). 85–91. 1 indexed citations
20.
Ventrella, Domenico, et al.. (1996). Soil water content and water use efficiency in nine cropping systems in conditions with a limited water supply. 30(1). 1–8. 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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