Cláudio Leones Bazzi

630 total citations
44 papers, 473 citations indexed

About

Cláudio Leones Bazzi is a scholar working on Environmental Engineering, Plant Science and Ecology. According to data from OpenAlex, Cláudio Leones Bazzi has authored 44 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Environmental Engineering, 15 papers in Plant Science and 11 papers in Ecology. Recurrent topics in Cláudio Leones Bazzi's work include Soil Geostatistics and Mapping (19 papers), Remote Sensing in Agriculture (11 papers) and Soil and Land Suitability Analysis (7 papers). Cláudio Leones Bazzi is often cited by papers focused on Soil Geostatistics and Mapping (19 papers), Remote Sensing in Agriculture (11 papers) and Soil and Land Suitability Analysis (7 papers). Cláudio Leones Bazzi collaborates with scholars based in Brazil, United States and Austria. Cláudio Leones Bazzi's co-authors include Eduardo Godoy de Souza, Kelyn Schenatto, Miguel Ángel Uribe-Opazo, D Mazzei, Lúcia Helena Pereira Nóbrega, Paulo Sérgio Graziano Magalhães, Raj Khosla, Robin M. Reich, Erivelto Mercante and Shrinivasa K. Upadhyaya and has published in prestigious journals such as The Lancet, Chemosphere and Agronomy Journal.

In The Last Decade

Cláudio Leones Bazzi

40 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cláudio Leones Bazzi Brazil 11 183 171 130 90 86 44 473
V. Ramamurthy India 11 138 0.8× 189 1.1× 56 0.4× 147 1.6× 134 1.6× 87 541
Amanda Ramcharan United States 7 155 0.8× 191 1.1× 95 0.7× 37 0.4× 111 1.3× 8 520
Rodolfo Bongiovanni Argentina 10 267 1.5× 348 2.0× 192 1.5× 42 0.5× 120 1.4× 19 894
Marcelo Silva de Oliveira Brazil 17 253 1.4× 180 1.1× 122 0.9× 50 0.6× 199 2.3× 78 684
Jeffrey L. Willers United States 14 102 0.6× 272 1.6× 160 1.2× 27 0.3× 69 0.8× 43 563
Hossein Kazemi Iran 13 150 0.8× 97 0.6× 184 1.4× 223 2.5× 41 0.5× 31 603
C. R. Grego Brazil 12 259 1.4× 184 1.1× 100 0.8× 87 1.0× 303 3.5× 44 657
V. Liakos Greece 11 101 0.6× 286 1.7× 106 0.8× 20 0.2× 131 1.5× 22 472
Francelino A. Rodrigues Mexico 12 144 0.8× 263 1.5× 204 1.6× 17 0.2× 49 0.6× 28 447
Barbara Cafarelli Italy 13 122 0.7× 90 0.5× 164 1.3× 42 0.5× 25 0.3× 24 479

Countries citing papers authored by Cláudio Leones Bazzi

Since Specialization
Citations

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

Fields of papers citing papers by Cláudio Leones Bazzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cláudio Leones Bazzi. 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 Cláudio Leones Bazzi. The network helps show where Cláudio Leones Bazzi may publish in the future.

Co-authorship network of co-authors of Cláudio Leones Bazzi

This figure shows the co-authorship network connecting the top 25 collaborators of Cláudio Leones Bazzi. A scholar is included among the top collaborators of Cláudio Leones Bazzi 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 Cláudio Leones Bazzi. Cláudio Leones Bazzi 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.
Souza, Eduardo Godoy de, et al.. (2024). Data processing to remove outliers and inliers: A systematic literature study. Revista Brasileira de Engenharia Agrícola e Ambiental. 28(9). 6 indexed citations
2.
Souza, Eduardo Godoy de, et al.. (2024). Incorporation of computational routines in a microservice architecture in AgDataBox platform. Sustainable Computing Informatics and Systems. 44. 101038–101038. 1 indexed citations
3.
Venâncio, Luan Peroni, et al.. (2024). Remote Sensing-Based Algorithms for Estimating Evapotranspiration in Agricultural Systems: A systematic literature review. IEEE Geoscience and Remote Sensing Magazine. 12(4). 190–217. 1 indexed citations
4.
Souza, Eduardo Godoy de, et al.. (2024). AgDataBox-Map - A web application for creating thematic maps and management zones: users' evaluation. Caderno Pedagógico. 21(12). e10340–e10340.
5.
Souza, Eduardo Godoy de, et al.. (2023). Generation of Lime Recommendation Maps Using Traditional Thematic Maps and Management Zones. Communications in Soil Science and Plant Analysis. 55(3). 365–397. 1 indexed citations
6.
Venâncio, Luan Peroni, et al.. (2023). Orbital remote sensing to estimate evapotranspiration in a cotton cropping system irrigated by a centre pivot. Australian Journal of Crop Science. 44–51.
7.
Mercante, Erivelto, et al.. (2023). AGDATABOX-RS computational application: Remote sensing data management. SoftwareX. 23. 101435–101435. 5 indexed citations
9.
Souza, Eduardo Godoy de, et al.. (2023). AgDataBox-IoT - application development for agrometeorological stations in smart. MethodsX. 11. 102419–102419. 3 indexed citations
10.
Souza, Eduardo Godoy de, et al.. (2023). Process improvement of selecting the best interpolator and its parameters to create thematic maps. Precision Agriculture. 24(4). 1461–1496. 10 indexed citations
11.
Souza, Eduardo Godoy de, et al.. (2023). Growing degree-hours and degree-days in two management zones for each phenological stage of wheat (Triticum aestivum L.). International Journal of Biometeorology. 67(7). 1169–1183. 6 indexed citations
12.
Souza, Eduardo Godoy de, et al.. (2022). Methods to Recommend Corrective Measures for Agricultural Soils: A Systematic Literature Study. Communications in Soil Science and Plant Analysis. 54(8). 1102–1133. 3 indexed citations
13.
Bazzi, Cláudio Leones, et al.. (2021). Delineation of management zones in integrated crop–livestock systems. Agronomy Journal. 113(6). 5271–5286. 6 indexed citations
14.
Souza, Eduardo Godoy de, et al.. (2019). Identification of management zones in precision agriculture: An evaluation of alternative cluster analysis methods. Biosystems Engineering. 181. 86–102. 75 indexed citations
15.
Bazzi, Cláudio Leones, et al.. (2019). A software for the delineation of crop management zones (SDUM). Australian Journal of Crop Science. 13(1). 26–34. 8 indexed citations
16.
Nóbrega, Lúcia Helena Pereira, et al.. (2019). Random Forests in the Supervised Classification of Multidimensional Images of the Tetrazolium Test. Journal of Agricultural Science. 11(15). 115–115. 1 indexed citations
17.
Souza, Eduardo Godoy de, et al.. (2017). Interpolation methods for thematic maps of soybean yield and soil chemical attributes. Semina Ciências Agrárias. 38(2). 1059–1059. 6 indexed citations
18.
Bazzi, Cláudio Leones, et al.. (2017). Support vector machine to estimate the soybean yield.. Revista Engenharia na Agricultura - REVENG. 25(3). 240–248. 1 indexed citations
19.
Souza, Eduardo Godoy de, et al.. (2016). Optimization of management zone delineation by using spatial principal components. Computers and Electronics in Agriculture. 127. 302–310. 74 indexed citations
20.
Bazzi, Cláudio Leones, et al.. (2015). ZONAS DE MANEJO APLICADAS À CULTURA DO MILHO. 7(1). 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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