Leonardo E. Novelli

589 total citations
18 papers, 456 citations indexed

About

Leonardo E. Novelli is a scholar working on Soil Science, Agronomy and Crop Science and Plant Science. According to data from OpenAlex, Leonardo E. Novelli has authored 18 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Soil Science, 8 papers in Agronomy and Crop Science and 6 papers in Plant Science. Recurrent topics in Leonardo E. Novelli's work include Soil Carbon and Nitrogen Dynamics (13 papers), Soil Management and Crop Yield (7 papers) and Agronomic Practices and Intercropping Systems (4 papers). Leonardo E. Novelli is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (13 papers), Soil Management and Crop Yield (7 papers) and Agronomic Practices and Intercropping Systems (4 papers). Leonardo E. Novelli collaborates with scholars based in Argentina, Uruguay and Chile. Leonardo E. Novelli's co-authors include O.P. Caviglia, Gervasio Piñeiro, Ricardo Melchiori, Marcelo Germán Wilson, María Carolina Sasal, J. D. Torrance, D. P. Derman, R. W. Charlton, A. P. MacPhail and F. Mayet and has published in prestigious journals such as SHILAP Revista de lepidopterología, Soil Science Society of America Journal and British Journal Of Nutrition.

In The Last Decade

Leonardo E. Novelli

18 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonardo E. Novelli Argentina 9 266 160 112 57 54 18 456
Dhaneshwar Padhan India 11 271 1.0× 241 1.5× 67 0.6× 28 0.5× 34 0.6× 31 384
Weihong Qiu China 10 232 0.9× 249 1.6× 118 1.1× 69 1.2× 17 0.3× 18 422
Huifeng Ning China 11 199 0.7× 351 2.2× 36 0.3× 15 0.3× 91 1.7× 27 538
Milton Halder Bangladesh 9 148 0.6× 72 0.5× 46 0.4× 27 0.5× 11 0.2× 35 278
Sonali Paul Mazumdar India 11 262 1.0× 236 1.5× 123 1.1× 34 0.6× 20 0.4× 39 448
Wanwipa Kaewpradit Thailand 12 166 0.6× 251 1.6× 78 0.7× 32 0.6× 26 0.5× 39 420
H. Ibrikçi Türkiye 13 262 1.0× 335 2.1× 160 1.4× 110 1.9× 24 0.4× 44 588
S. E. Petrie United States 11 156 0.6× 177 1.1× 74 0.7× 43 0.8× 25 0.5× 18 338
Zhaoqiang Jin China 9 191 0.7× 168 1.1× 80 0.7× 31 0.5× 20 0.4× 16 360
Qiujin Ma China 8 222 0.8× 116 0.7× 59 0.5× 45 0.8× 13 0.2× 9 342

Countries citing papers authored by Leonardo E. Novelli

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo E. Novelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo E. Novelli. 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 Leonardo E. Novelli. The network helps show where Leonardo E. Novelli may publish in the future.

Co-authorship network of co-authors of Leonardo E. Novelli

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

All Works

18 of 18 papers shown
1.
Novelli, Leonardo E., et al.. (2025). Crop and fallow contribution to N2O emissions of contrasting crop sequences. European Journal of Agronomy. 167. 127582–127582. 1 indexed citations
2.
Salvagiotti, Fernando, et al.. (2025). Response to nitrogen fertilization of late-sown maize upon different winter previous crops. European Journal of Agronomy. 166. 127566–127566. 1 indexed citations
3.
Novelli, Leonardo E., et al.. (2023). Optimizing resource productivity in soybean-based sequences through long-term crop intensification. Field Crops Research. 301. 109018–109018. 3 indexed citations
4.
Novelli, Leonardo E., et al.. (2023). Does the fertilisation strategy affect the long-term legacy phosphorus dynamic?. European Journal of Agronomy. 153. 127035–127035. 1 indexed citations
5.
Novelli, Leonardo E., et al.. (2023). Cover crop benefit bacteria and increase aggregate-associate soil C and N storage. Geoderma Regional. 36. e00743–e00743. 5 indexed citations
6.
Novelli, Leonardo E., O.P. Caviglia, Estéban G. Jobbágy, & Víctor O. Sadras. (2022). Diversified crop sequences to reduce soil nitrogen mining in agroecosystems. Agriculture Ecosystems & Environment. 341. 108208–108208. 19 indexed citations
7.
Novelli, Leonardo E., et al.. (2021). Long-term fertilizer application and cover crops improve soil quality and soybean yield in the Northeastern Pampas region of Argentina. Geoderma. 385. 114902–114902. 18 indexed citations
8.
Novelli, Leonardo E., et al.. (2021). Crop sequence and P fertilization effects on soil P fractions under no-tillage. Nutrient Cycling in Agroecosystems. 3 indexed citations
9.
Novelli, Leonardo E., et al.. (2020). Microbial activity effect on aggregate stability after residue addition in a Mollisol and a Vertisol in the Pampas, Argentina. Geoderma Regional. 23. e00346–e00346. 8 indexed citations
10.
Bidegain, Mario Pérez, et al.. (2017). ¿Puede wepp mejorar la predicción de la erosión de suelos respecto a USLE?. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Novelli, Leonardo E., O.P. Caviglia, & Gervasio Piñeiro. (2016). Increased cropping intensity improves crop residue inputs to the soil and aggregate-associated soil organic carbon stocks. Soil and Tillage Research. 165. 128–136. 113 indexed citations
12.
Melchiori, Ricardo, et al.. (2016). Assessing Organic Phosphorus Contributions for Predicting Soybean Response to Fertilization. Soil Science Society of America Journal. 80(6). 1688–1697. 16 indexed citations
13.
Novelli, Leonardo E., et al.. (2014). Nitrógeno incubado en anaerobiosis y su relación con el nitrogeno orgánico en diferentes fracciones. SHILAP Revista de lepidopterología. 32(1). 41–51. 3 indexed citations
14.
Melchiori, Ricardo, et al.. (2014). Stover Quality and Soil Organic Carbon in Long‐Term Nitrogen‐Fertilized Maize. Agronomy Journal. 106(5). 1709–1716. 11 indexed citations
15.
Novelli, Leonardo E.. (2013). Intensificación de las secuencias de cultivos en un Molisol y un Vertisol: cambios en la estabilidad estructural y en el almacenaje de C en agregados. Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires). 1 indexed citations
16.
Novelli, Leonardo E., O.P. Caviglia, Marcelo Germán Wilson, & María Carolina Sasal. (2013). Land use intensity and cropping sequence effects on aggregate stability and C storage in a Vertisol and a Mollisol. Geoderma. 195-196. 260–267. 62 indexed citations
17.
Novelli, Leonardo E., O.P. Caviglia, & Ricardo Melchiori. (2011). Impact of soybean cropping frequency on soil carbon storage in Mollisols and Vertisols. Geoderma. 167-168. 254–260. 69 indexed citations
18.
Gillooly, M., T. H. Bothwell, R. W. Charlton, et al.. (1984). Factors affecting the absorption of iron from cereals. British Journal Of Nutrition. 51(1). 37–46. 121 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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