Lúbia Vinhas

691 total citations
30 papers, 313 citations indexed

About

Lúbia Vinhas is a scholar working on Signal Processing, Ecology and Computer Networks and Communications. According to data from OpenAlex, Lúbia Vinhas has authored 30 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Signal Processing, 8 papers in Ecology and 7 papers in Computer Networks and Communications. Recurrent topics in Lúbia Vinhas's work include Data Management and Algorithms (14 papers), Remote Sensing in Agriculture (8 papers) and Advanced Database Systems and Queries (7 papers). Lúbia Vinhas is often cited by papers focused on Data Management and Algorithms (14 papers), Remote Sensing in Agriculture (8 papers) and Advanced Database Systems and Queries (7 papers). Lúbia Vinhas collaborates with scholars based in Brazil, Austria and Netherlands. Lúbia Vinhas's co-authors include Karine Reis Ferreira, Gilberto Câmara, Luiz Fernando Ferreira Gomes de Assis, Adeline Maciel, Cláudio Almeida, Luís Eduardo Pinheiro Maurano, Gilberto Ribeiro de Queiroz, Antônio Miguel Vieira Monteiro, Silvana Amaral and Marcelo Gattass and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Hydrobiologia.

In The Last Decade

Lúbia Vinhas

27 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lúbia Vinhas Brazil 8 118 112 51 45 36 30 313
Luiz Fernando Ferreira Gomes de Assis Brazil 7 79 0.7× 91 0.8× 33 0.6× 36 0.8× 28 0.8× 15 279
Alaitz Zabala Spain 13 104 0.9× 136 1.2× 44 0.9× 67 1.5× 68 1.9× 43 458
Jean-Philippe Richard Switzerland 7 112 0.9× 112 1.0× 24 0.5× 35 0.8× 61 1.7× 9 289
Hannah Augustin Austria 7 125 1.1× 104 0.9× 37 0.7× 64 1.4× 96 2.7× 19 363
Stuart Minchin Australia 6 121 1.0× 112 1.0× 28 0.5× 35 0.8× 48 1.3× 10 279
Yuanzheng Shao United States 13 79 0.7× 90 0.8× 34 0.7× 32 0.7× 40 1.1× 26 314
Andrew Hunter Canada 8 56 0.5× 56 0.5× 51 1.0× 15 0.3× 21 0.6× 22 335
Stephen Peedell Italy 9 137 1.2× 151 1.3× 38 0.7× 6 0.1× 31 0.9× 14 335
Brian Killough United States 11 189 1.6× 181 1.6× 40 0.8× 58 1.3× 91 2.5× 34 526
Rolf Simões Brazil 10 232 2.0× 165 1.5× 32 0.6× 92 2.0× 45 1.3× 23 432

Countries citing papers authored by Lúbia Vinhas

Since Specialization
Citations

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

Fields of papers citing papers by Lúbia Vinhas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lúbia Vinhas

This figure shows the co-authorship network connecting the top 25 collaborators of Lúbia Vinhas. A scholar is included among the top collaborators of Lúbia Vinhas 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 Lúbia Vinhas. Lúbia Vinhas 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.
Macêdo, Raimundo José de Araújo, Marcelo Pias, Esteban Clua, et al.. (2025). A Brazilian Perspective on Computing for the Planet’s Sustainability. Communications of the ACM. 68(7). 96–101.
2.
Rosa, Laura Elena Cué La, et al.. (2024). XGBOOST and Multitemporal DETER Data for Deforestation Forecasting. SHILAP Revista de lepidopterología. X-3-2024. 193–198. 1 indexed citations
3.
Maciel, Adeline, Michelle Cristina Araújo Picoli, Lúbia Vinhas, & Gilberto Câmara. (2020). Identifying Land Use Change Trajectories in Brazil’s Agricultural Frontier. Land. 9(12). 506–506. 6 indexed citations
4.
Ferreira, Karine Reis, Gilberto Ribeiro de Queiroz, Gilberto Câmara, et al.. (2020). Using Remote Sensing Images and Cloud Services on Aws to Improve Land Use and Cover Monitoring. 558–562. 20 indexed citations
5.
Valeriano, D. M., et al.. (2020). DEFORESTATION MONITORING IN DIFFERENT BRAZILIAN BIOMES: CHALLENGES AND LESSONS. SHILAP Revista de lepidopterología. IV-3/W2-2020. 47–52. 5 indexed citations
6.
Sánchez, Alber, Lúbia Vinhas, Gilberto Ribeiro de Queiroz, et al.. (2019). Reproducible geospatial data science: Exploratory data analysis using collaborative analysis environments. Revista Brasileira de Cartografia. 70(5). 1844–1859.
7.
Maciel, Adeline, Gilberto Câmara, Lúbia Vinhas, et al.. (2018). A spatiotemporal calculus for reasoning about land-use trajectories. International Journal of Geographical Information Systems. 33(1). 176–192. 15 indexed citations
8.
Câmara, Gilberto, Rolf Simões, Pedro R. Andrade, et al.. (2018). e-sensing/sits: Version 1.12.5. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
9.
Körting, Thales Sehn, Leila María García Fonseca, Gilberto Ribeiro de Queiroz, et al.. (2017). TerraClass x MapBiomas: Comparative assessment of legend and mapping agreement analysis.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 295–300. 4 indexed citations
10.
Vinhas, Lúbia, et al.. (2017). STILF - A spatiotemporal interval logic formalism for reasoning about events in remote sensing data. IIASA PURE (International Institute of Applied Systems Analysis). 59599. 1 indexed citations
11.
Assis, Luiz Fernando Ferreira Gomes de, Gilberto Ribeiro de Queiroz, Karine Reis Ferreira, et al.. (2017). BIG DATA STREAMING FOR REMOTE SENSING TIME SERIES ANALYTICS USING MAPREDUCE. Revista Brasileira de Cartografia. 69(5). 12 indexed citations
12.
Ferreira, Karine Reis, et al.. (2017). SPATIOTEMPORAL DATA REPRESENTATION IN R. Revista Brasileira de Cartografia. 69(5). 3 indexed citations
13.
Câmara, Gilberto, et al.. (2016). Big earth observation data analytics. 1–6. 44 indexed citations
14.
Monteiro, Antônio Miguel Vieira, et al.. (2016). MINERAÇÃO DE TRAJETÓRIAS DE MUDANÇA DE COBERTURA DA TERRA EM ESTUDOS DE DEGRADAÇÃO FLORESTAL. Revista Brasileira de Cartografia. 68(4). 3 indexed citations
15.
Amaral, Silvana, et al.. (2016). Development and evaluation of species distribution models for five endangered elasmobranchs in southwestern Atlantic. Hydrobiologia. 779(1). 11–33. 12 indexed citations
16.
Ferreira, Karine Reis, Lúbia Vinhas, Antônio Miguel Vieira Monteiro, & Gilberto Câmara. (2012). Moving Objects and KML Files. 355–359. 4 indexed citations
17.
Ferreira, Karine Reis, Lúbia Vinhas, Antônio Miguel Vieira Monteiro, & Gilberto Câmara. (2012). MOVING OBJECTS AND SPATIAL DATA SOURCES. Revista Brasileira de Cartografia. 64(4). 2 indexed citations
18.
Câmara, Gilberto, et al.. (2007). Rule-based evolution of typed spatiotemporal objects. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 133–145.
19.
Vinhas, Lúbia, Ricardo Cartaxo Modesto de Souza, & Gilberto Câmara. (2003). Image Data Handling in Spatial Databases.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 7 indexed citations
20.
Câmara, Gilberto, et al.. (2002). SPRING and TerraLib: Integrating Spatial Analysis and GIS. 2 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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