M. Corti

467 total citations
23 papers, 369 citations indexed

About

M. Corti is a scholar working on Ecology, Environmental Engineering and Plant Science. According to data from OpenAlex, M. Corti has authored 23 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 7 papers in Environmental Engineering and 7 papers in Plant Science. Recurrent topics in M. Corti's work include Remote Sensing in Agriculture (10 papers), Remote Sensing and LiDAR Applications (4 papers) and Soil Carbon and Nitrogen Dynamics (4 papers). M. Corti is often cited by papers focused on Remote Sensing in Agriculture (10 papers), Remote Sensing and LiDAR Applications (4 papers) and Soil Carbon and Nitrogen Dynamics (4 papers). M. Corti collaborates with scholars based in Italy, Australia and New Zealand. M. Corti's co-authors include P. Marino Gallina, Daniele Cavalli, Giovanni Cabassi, Luca Bechini, Paola Crepaldi, Luigi Degano, Bianca Ortuani, Daniele Masseroni, A. Ferrante and Giacomo Cocetta and has published in prestigious journals such as Geoderma, Sustainability and Computers and Electronics in Agriculture.

In The Last Decade

M. Corti

22 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Corti Italy 10 184 156 84 79 58 23 369
Nariyasu Watanabe Japan 10 182 1.0× 102 0.7× 90 1.1× 48 0.6× 80 1.4× 21 358
Peihua Shi China 9 206 1.1× 493 3.2× 58 0.7× 99 1.3× 62 1.1× 13 631
Luciano Shozo Shiratsuchi Brazil 15 275 1.5× 405 2.6× 127 1.5× 70 0.9× 125 2.2× 50 613
Francelino A. Rodrigues Mexico 12 204 1.1× 263 1.7× 144 1.7× 29 0.4× 54 0.9× 28 447
Adrian Gracia‐Romero Spain 14 361 2.0× 503 3.2× 139 1.7× 103 1.3× 66 1.1× 33 679
Martin Ecarnot France 10 279 1.5× 450 2.9× 46 0.5× 74 0.9× 234 4.0× 16 618
Mathyam Prabhakar India 11 98 0.5× 182 1.2× 29 0.3× 40 0.5× 33 0.6× 23 364
Ángel Maresma Spain 9 251 1.4× 238 1.5× 161 1.9× 123 1.6× 29 0.5× 15 428
Ma. Luisa Buchaillot Spain 8 331 1.8× 316 2.0× 144 1.7× 38 0.5× 84 1.4× 22 588

Countries citing papers authored by M. Corti

Since Specialization
Citations

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

Fields of papers citing papers by M. Corti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Corti

This figure shows the co-authorship network connecting the top 25 collaborators of M. Corti. A scholar is included among the top collaborators of M. Corti 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 M. Corti. M. Corti 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.
Corti, M., Luca Bechini, Daniele Cavalli, et al.. (2024). Early sowing dates and pre-plant nitrogen affect autumn weed control and nitrogen content of winter cover crops in rotation with spring crops. European Journal of Agronomy. 155. 127140–127140. 2 indexed citations
2.
Corti, M., Daniele Cavalli, Chiara Ferré, et al.. (2023). Site-specific recommendations of cattle manure nitrogen and urea for silage maize. Nutrient Cycling in Agroecosystems. 127(1). 155–169. 6 indexed citations
3.
Cabassi, Giovanni, et al.. (2022). Site-specific nitrogen recommendations’ empirical algorithm for maize crop based on the fusion of soil and vegetation maps. Computers and Electronics in Agriculture. 203. 107479–107479. 13 indexed citations
4.
Corti, M., et al.. (2022). Satellite-Based Frost Damage Detection in Support of Winter Cover Crops Management: A Case Study on White Mustard. Agronomy. 12(9). 2025–2025. 14 indexed citations
5.
Corti, M., Daniele Cavalli, Giovanni Cabassi, et al.. (2022). Improved estimation of herbaceous crop aboveground biomass using UAV-derived crop height combined with vegetation indices. Precision Agriculture. 24(2). 587–606. 16 indexed citations
6.
Corti, M., et al.. (2021). A scoping review of side-dress nitrogen recommendation systems and their perspectives in precision agriculture. Italian Journal of Agronomy. 17(1). 1951–1951. 6 indexed citations
7.
Corti, M., P. Marino Gallina, Daniele Cavalli, et al.. (2020). Evaluation of In-Season Management Zones from High-Resolution Soil and Plant Sensors. Agronomy. 10(8). 1124–1124. 16 indexed citations
8.
Cavalli, Daniele, Gianni Bellocchi, M. Corti, P. Marino Gallina, & Luca Bechini. (2019). Sensitivity analysis of C and N modules in biogeochemical crop and grassland models following manure addition to soil. European Journal of Soil Science. 70(4). 833–846. 5 indexed citations
9.
Cavalli, Daniele, et al.. (2018). Nitrogen availability after repeated additions of raw and anaerobically digested 15 N‐labelled pig slurry. European Journal of Soil Science. 69(6). 1044–1055. 6 indexed citations
10.
Corti, M., Daniele Cavalli, Giovanni Cabassi, P. Marino Gallina, & Luca Bechini. (2018). Does remote and proximal optical sensing successfully estimate maize variables? A review. European Journal of Agronomy. 99. 37–50. 62 indexed citations
11.
Corti, M., et al.. (2018). Application of a low-cost camera on a UAV to estimate maize nitrogen-related variables. Precision Agriculture. 20(4). 675–696. 38 indexed citations
12.
13.
Masseroni, Daniele, Bianca Ortuani, M. Corti, et al.. (2017). Assessing the Reliability of Thermal and Optical Imaging Techniques for Detecting Crop Water Status under Different Nitrogen Levels. Sustainability. 9(9). 1548–1548. 19 indexed citations
14.
Corti, M., P. Marino Gallina, Daniele Cavalli, & Giovanni Cabassi. (2017). Hyperspectral imaging of spinach canopy under combined water and nitrogen stress to estimate biomass, water, and nitrogen content. Biosystems Engineering. 158. 38–50. 65 indexed citations
15.
Tutt, D., et al.. (2011). Intravaginal Progesterone Devices in Synchronization Protocols for Artificial Insemination in Beef Heifers. Reproduction in Domestic Animals. 47(2). 230–237. 3 indexed citations
16.
Piasentier, Edi, Luisa Antonella Volpelli, Angela Sepulcri, L. Maggioni, & M. Corti. (2010). Effect of milk feeding system on carcass and meat quality of Frisa Valtellinese kids. Italian Journal of Animal Science. 4(2s). 398–398. 2 indexed citations
17.
Bovolenta, S., et al.. (2005). Effect of supplement level on herbage intake and feeding behaviour of Italian Brown cows grazing on Alpine pasture. Italian Journal of Animal Science. 4(sup2). 169–171. 4 indexed citations
18.
Gualtieri, Mirella, et al.. (2000). Physiologic variations of TLI (trypsin like immunoreactivity) in serum of german shepherd dog and correlation with gastrin levels. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 5(1). 5–9. 1 indexed citations
19.
Corti, M., G. Gandini, G. Piva, et al.. (1999). Local breeds and tourism: observations from the Orobica goat.. 479–480. 1 indexed citations
20.
Crepaldi, Paola, et al.. (1999). Factors affecting milk production and prolificacy of Alpine goats in Lombardy (Italy). Small Ruminant Research. 32(1). 83–88. 50 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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