Vitor S. Martins

1.7k total citations · 1 hit paper
39 papers, 1.2k citations indexed

About

Vitor S. Martins is a scholar working on Global and Planetary Change, Ecology and Oceanography. According to data from OpenAlex, Vitor S. Martins has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Global and Planetary Change, 17 papers in Ecology and 15 papers in Oceanography. Recurrent topics in Vitor S. Martins's work include Remote Sensing in Agriculture (16 papers), Marine and coastal ecosystems (15 papers) and Atmospheric aerosols and clouds (7 papers). Vitor S. Martins is often cited by papers focused on Remote Sensing in Agriculture (16 papers), Marine and coastal ecosystems (15 papers) and Atmospheric aerosols and clouds (7 papers). Vitor S. Martins collaborates with scholars based in United States, Brazil and France. Vitor S. Martins's co-authors include Evlyn Márcia Leão de Moraes Novo, Cláudio Clemente Faria Barbosa, Lino Augusto Sander de Carvalho, David P. Roy, Felipe de Lucia Lobo, Haiyan Huang, Rasmus Houborg, Alexei Lyapustin, Amy L. Kaleita and Daniel Schaffer Ferreira Jorge and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Research.

In The Last Decade

Vitor S. Martins

34 papers receiving 1.1k 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.

A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery

2021 162 citations Vitor S. Martins et al. Remote Sensing of Environment profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vitor S. Martins United States	19	525	469	292	282	245	39	1.2k
Huizeng Liu China	22	475 0.9×	415 0.9×	164 0.6×	403 1.4×	311 1.3×	48	1.3k
Sindy Sterckx Belgium	19	385 0.7×	459 1.0×	197 0.7×	258 0.9×	441 1.8×	56	1.2k
Shuhua Qi China	20	892 1.7×	614 1.3×	333 1.1×	331 1.2×	119 0.5×	49	1.6k
Bringfried Pflug Germany	12	501 1.0×	696 1.5×	217 0.7×	417 1.5×	177 0.7×	48	1.2k
Lino Augusto Sander de Carvalho Brazil	14	318 0.6×	239 0.5×	151 0.5×	118 0.4×	317 1.3×	32	824
Milton Kampel Brazil	20	433 0.8×	600 1.3×	127 0.4×	162 0.6×	768 3.1×	82	1.4k
Isabel Caballero Spain	25	466 0.9×	532 1.1×	148 0.5×	495 1.8×	734 3.0×	67	1.6k
Ghaleb Faour Lebanon	23	624 1.2×	332 0.7×	344 1.2×	343 1.2×	150 0.6×	91	1.4k
Haibo Yang China	20	1.0k 2.0×	144 0.3×	185 0.6×	275 1.0×	239 1.0×	63	1.6k
Haroon Stephen United States	18	436 0.8×	201 0.4×	316 1.1×	664 2.4×	82 0.3×	76	1.4k

Countries citing papers authored by Vitor S. Martins

Since Specialization

Citations

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

Fields of papers citing papers by Vitor S. Martins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vitor S. Martins. 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 Vitor S. Martins. The network helps show where Vitor S. Martins may publish in the future.

Co-authorship network of co-authors of Vitor S. Martins

This figure shows the co-authorship network connecting the top 25 collaborators of Vitor S. Martins. A scholar is included among the top collaborators of Vitor S. Martins 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 Vitor S. Martins. Vitor S. Martins 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

Ferreira, Lucas Borges, et al.. (2025). FieldSeg: A scalable agricultural field extraction framework based on the Segment Anything Model and 10-m Sentinel-2 imagery. Computers and Electronics in Agriculture. 232. 110086–110086. 5 indexed citations

Martins, Vitor S., et al.. (2025). Sentinel-3 Coastal Analysis Ready Data (S3CARD): An operational framework for coastal water applications. Water Research. 287(Pt B). 124432–124432.

Barbosa, Cláudio Clemente Faria, et al.. (2025). A novel hybrid cyanobacteria mapping approach for inland reservoirs using Sentinel-3 imagery. Harmful Algae. 144. 102836–102836. 1 indexed citations

Martins, Vitor S., et al.. (2025). A general spectral bandpass adjustment function (SBAF) for harmonizing landsat-sentinel over inland and coastal waters. Science of Remote Sensing. 11. 100225–100225.

Martins, Vitor S., et al.. (2025). Impact of sampling techniques on crop type mapping using multi-temporal composites from Harmonized Landsat-Sentinel images. Computers and Electronics in Agriculture. 237. 110676–110676. 2 indexed citations

Martins, Vitor S., et al.. (2025). Generation of robust 10-m Sentinel-2/3 synthetic aquatic reflectance bands over inland waters. Remote Sensing of Environment. 318. 114593–114593. 3 indexed citations

Martins, Vitor S., et al.. (2025). The need for advancing algal bloom forecasting using remote sensing and modeling: Progress and future directions. Ecological Indicators. 172. 113244–113244. 5 indexed citations

Maciel, Daniel Andrade, Cláudio Clemente Faria Barbosa, Evlyn Márcia Leão de Moraes Novo, et al.. (2025). Accuracy assessment of PlanetScope SuperDove products for aquatic reflectance retrieval over Brazilian inland and coastal waters. ISPRS Journal of Photogrammetry and Remote Sensing. 227. 678–690.

Setzer, Alberto, et al.. (2024). Evaluation and comparison of MODIS and MISR aerosol products with ground-based monitoring stations in the Amazon Basin. Atmospheric Environment. 331. 120597–120597.

10.

Martins, Vitor S., et al.. (2024). Recent advances in geostationary satellites for inland and coastal aquatic systems: scientific research and applications. International Journal of Remote Sensing. 45(5). 1574–1607. 7 indexed citations

11.

Barbosa, Cláudio Clemente Faria, Vitor S. Martins, Evlyn Márcia Leão de Moraes Novo, et al.. (2023). Machine learning for cyanobacteria mapping on tropical urban reservoirs using PRISMA hyperspectral data. ISPRS Journal of Photogrammetry and Remote Sensing. 204. 378–396. 18 indexed citations

12.

Guedes, Hugo Alexandre Soares, et al.. (2023). Predictive model for monitoring water turbidity in a subtropical lagoon using Sentinel-2A/B MSI images. Revista Brasileira de Recursos Hídricos. 28. 3 indexed citations

13.

Maciel, Daniel Andrade, Nima Pahlevan, Cláudio Clemente Faria Barbosa, et al.. (2023). Validity of the Landsat surface reflectance archive for aquatic science: Implications for cloud‐based analysis. Limnology and Oceanography Letters. 8(6). 850–858. 21 indexed citations

14.

Martins, Vitor S., et al.. (2023). A framework based on spectral similarity to estimate hydrological connectivity in Juruá River floodplain lakes using 3-m PlanetScope data. Journal of Hydrology. 625. 130156–130156. 4 indexed citations

15.

Martins, Vitor S., et al.. (2022). Assessment of Adjacency Correction over Inland Waters Using Sentinel-2 MSI Images. Remote Sensing. 14(8). 1829–1829. 31 indexed citations

16.

Novo, Evlyn Márcia Leão de Moraes, et al.. (2021). Impacts of meander migration on the Amazon riverine communities using Landsat time series and cloud computing. The Science of The Total Environment. 806(Pt 2). 150449–150449. 21 indexed citations

17.

Martins, Vitor S., et al.. (2019). IowaNet dataset for deep learning: 1 million samples with 10 land cover classes. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

18.

Martins, Vitor S., Alexei Lyapustin, Yujie Wang, et al.. (2019). Global validation of columnar water vapor derived from EOS MODIS-MAIAC algorithm against the ground-based AERONET observations. Atmospheric Research. 225. 181–192. 33 indexed citations

19.

Martins, Vitor S., Amy L. Kaleita, Cláudio Clemente Faria Barbosa, et al.. (2018). Remote sensing of large reservoir in the drought years: Implications on surface water change and turbidity variability of Sobradinho reservoir (Northeast Brazil). Remote Sensing Applications Society and Environment. 13. 275–288. 36 indexed citations

20.

Martins, Vitor S., Evlyn Márcia Leão de Moraes Novo, Alexei Lyapustin, et al.. (2018). Seasonal and interannual assessment of cloud cover and atmospheric constituents across the Amazon (2000–2015): Insights for remote sensing and climate analysis. ISPRS Journal of Photogrammetry and Remote Sensing. 145. 309–327. 74 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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