Flávio Jorge Ponzoni

5.4k total citations · 1 hit paper
62 papers, 3.9k citations indexed

About

Flávio Jorge Ponzoni is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Flávio Jorge Ponzoni has authored 62 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Ecology, 16 papers in Global and Planetary Change and 15 papers in Environmental Engineering. Recurrent topics in Flávio Jorge Ponzoni's work include Remote Sensing in Agriculture (31 papers), Leaf Properties and Growth Measurement (14 papers) and Calibration and Measurement Techniques (13 papers). Flávio Jorge Ponzoni is often cited by papers focused on Remote Sensing in Agriculture (31 papers), Leaf Properties and Growth Measurement (14 papers) and Calibration and Measurement Techniques (13 papers). Flávio Jorge Ponzoni collaborates with scholars based in Brazil, France and United States. Flávio Jorge Ponzoni's co-authors include Milton Cézar Ribeiro, Alexandre Camargo Martensen, Jean Paul Metzger, Lênio Soares Galvão, Guerric Le Maire, Yann Nouvellon, Veraldo Liesenberg, Claire Marsden, José-Luiz Stape and José Leonardo de Moraes Gonçalves 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

Flávio Jorge Ponzoni

57 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Brazilian Atlantic Forest: How much is left, and how is the remaining forest distributed? Implications for conservation

2009 3.0k citations Flávio Jorge Ponzoni et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Flávio Jorge Ponzoni Brazil	14	1.6k	1.3k	1.3k	1.1k	528	62	3.9k
Nancy E. McIntyre United States	27	1.5k 0.9×	961 0.7×	1.2k 0.9×	792 0.7×	459 0.9×	93	3.4k
Carlos Augusto Klink Brazil	20	1.4k 0.9×	1.7k 1.2×	1.5k 1.2×	1.1k 1.1×	443 0.8×	25	4.2k
Alexandre Camargo Martensen Brazil	14	2.0k 1.2×	2.0k 1.5×	1.8k 1.4×	1.4k 1.3×	793 1.5×	20	4.7k
John P. Fay United States	19	1.6k 1.0×	1.5k 1.1×	900 0.7×	959 0.9×	964 1.8×	26	3.6k
Rasmus Ejrnæs Denmark	30	1.8k 1.1×	1.8k 1.3×	902 0.7×	1.0k 0.9×	764 1.4×	97	4.0k
Ainhoa Magrach Spain	21	1.4k 0.9×	1.2k 0.9×	1.5k 1.2×	824 0.8×	687 1.3×	49	3.5k
José Maria Cardoso da Silva Brazil	29	1.4k 0.9×	2.3k 1.7×	1.4k 1.1×	1.6k 1.5×	700 1.3×	74	4.4k
Rhett D. Harrison China	37	1.3k 0.8×	1.5k 1.2×	841 0.7×	1.9k 1.8×	340 0.6×	116	4.4k
Régis Céréghino France	38	2.7k 1.7×	2.0k 1.5×	615 0.5×	1.2k 1.1×	555 1.1×	161	4.8k
Katharine J. M. Dickinson New Zealand	30	971 0.6×	1.1k 0.8×	817 0.6×	779 0.7×	291 0.6×	130	2.9k

Countries citing papers authored by Flávio Jorge Ponzoni

Since Specialization

Citations

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

Fields of papers citing papers by Flávio Jorge Ponzoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Flávio Jorge Ponzoni. 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 Flávio Jorge Ponzoni. The network helps show where Flávio Jorge Ponzoni may publish in the future.

Co-authorship network of co-authors of Flávio Jorge Ponzoni

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

All Works

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20 of 20 papers shown

Ponzoni, Flávio Jorge, et al.. (2023). Effect of elevated atmospheric CO2 on spectral reflectance of coffee leaves of plants cultivated at face facility. Labor & Engenho. 17. e023023–e023023.

Martins, Fernando Roberto, et al.. (2023). Landsat data respond to variations in the structure of Caatinga plant communities along a successional gradient. Anais da Academia Brasileira de Ciências. 95(3). e20230022–e20230022.

Dalagnol, Ricardo, et al.. (2020). Adjustments to SIF Aid the Interpretation of Drought Responses at the Caatinga of Northeast Brazil. Remote Sensing. 12(19). 3264–3264. 5 indexed citations

Galvão, Lênio Soares, et al.. (2017). Potential of hyperspectral metrics and classifiers for mapping Brazilian savannas in the rainy and dry seasons. Remote Sensing Applications Society and Environment. 8. 20–29. 13 indexed citations

Féret, Jean‐Baptiste, Flávio Jorge Ponzoni, Yann Nouvellon, et al.. (2017). Simulating the Canopy Reflectance of Different Eucalypt Genotypes With the DART 3-D Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(11). 4844–4852. 7 indexed citations

Pinto, Cibele Teixeira, Flávio Jorge Ponzoni, R. M. Castro, et al.. (2016). Evaluation of the uncertainty in the spectral band adjustment factor (SBAF) for cross-calibration using Monte Carlo simulation. Remote Sensing Letters. 7(9). 837–846. 19 indexed citations

Maire, Guerric Le, Claire Marsden, Yann Nouvellon, José-Luiz Stape, & Flávio Jorge Ponzoni. (2012). Calibration of a Species-Specific Spectral Vegetation Index for Leaf Area Index (LAI) Monitoring: Example with MODIS Reflectance Time-Series on Eucalyptus Plantations. Remote Sensing. 4(12). 3766–3780. 31 indexed citations

Ponzoni, Flávio Jorge, et al.. (2010). Modelo agrometeorológico-espectral para estimativa da disponibilidade de forragem no bioma “campos sulinos”. International Journal of Cardiology. 15(3). 241–249. 6 indexed citations

Ponzoni, Flávio Jorge, et al.. (2010). Caracterização espectral de plantios de Eucalyptus utilizando dados Hyperion EO-1 e SRTM Spectral characterization of Eucalyptus plantation using Hyperion EO-1 and SRTM data. SHILAP Revista de lepidopterología. 6(4). 127–136. 1 indexed citations

10.

Ponzoni, Flávio Jorge, et al.. (2010). Spatial distribution of Eucalyptus plantations in the São Paulo State portion of Paraíba do Sul river basin, Brazil (doi:10.4136/ambi-agua.158) (Portuguese). Ambiente e Agua - An Interdisciplinary Journal of Applied Science. 5(3). 133–146. 5 indexed citations

11.

Ponzoni, Flávio Jorge, et al.. (2008). CONVERSÃO DE NÚMEROS DIGITAIS DE IMAGENS ORBITAIS EM VALORES DE FRB DE SUPERFÍCIE. 14(4). 541–556. 1 indexed citations

12.

Liesenberg, Veraldo, Lênio Soares Galvão, & Flávio Jorge Ponzoni. (2006). Variations in reflectance with seasonality and viewing geometry: Implications for classification of Brazilian savanna physiognomies with MISR/Terra data. Remote Sensing of Environment. 107(1-2). 276–286. 47 indexed citations

13.

Ponzoni, Flávio Jorge, Jurandir Zullo, & Rubens Augusto Camargo Lamparelli. (2006). In‐flight absolute calibration of the CBERS‐2 IRMSS sensor data. International Journal of Remote Sensing. 27(4). 799–804. 7 indexed citations

14.

Galvão, Lênio Soares, Flávio Jorge Ponzoni, José Carlos Neves Epiphânio, Bernardo Friedrich Theodor Rudorff, & Antônio Roberto Formaggio. (2004). Sun and view angle effects on NDVI determination of land cover types in the Brazilian Amazon region with hyperspectral data. International Journal of Remote Sensing. 25(10). 1861–1879. 34 indexed citations

15.

Ponzoni, Flávio Jorge, et al.. (2004). In-flight absolute calibration of the Landsat-5 TM on the test site Salar de Uyuni. IEEE Transactions on Geoscience and Remote Sensing. 42(12). 2761–2766. 13 indexed citations

16.

Ponzoni, Flávio Jorge, et al.. (2002). Comparação entre o fator de reflectância bidirecional de um dossel de mudas de eucalyptus grandis e o fator de reflectância direcional hemisférico de suas folhas isoladas. CERNE. 8(1). 59–68. 1 indexed citations

17.

Ponzoni, Flávio Jorge, et al.. (2002). Influência da resolução espacial de imagens orbitais na identificação de elementos da paisagem em Altamira-PA. Revista Árvore. 26(4). 403–410. 9 indexed citations

18.

Ponzoni, Flávio Jorge, et al.. (2000). Relationship between timber volume and leaf area index in a stand of Pinus spp.: a case study.. Revista Árvore. 24(1). 47–54. 7 indexed citations

19.

Shimabukuro, Yosio Edemir, et al.. (1998). ÍNDICE DE VEGETAÇÃO E MODELO LINEAR DE MISTURA ESPECTRAL NO MONITORAMENTO DA REGIÃO DO PANTANAL 1. Pesquisa Agropecuária Brasileira. 33(13). 1729–1737. 10 indexed citations

20.

Ponzoni, Flávio Jorge, et al.. (1998). Mapeamento da fitofisionomia e do uso da terra de parte da bacia do Alto Taquari mediante o uso de imagens TM/Landsat e HRV/SPOT. Pesquisa Agropecuária Brasileira. 33(13). 1755–1762. 5 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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