Lúbia Vinhas

55 total papers · 681 total citations
31 papers, 310 citations indexed

About

Lúbia Vinhas is a scholar working on Signal Processing, Ecology and Geography, Planning and Development. According to data from OpenAlex, Lúbia Vinhas has authored 31 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Signal Processing, 8 papers in Ecology and 8 papers in Geography, Planning and Development. Recurrent topics in Lúbia Vinhas's work include Data Management and Algorithms (14 papers), Geographic Information Systems Studies (8 papers) and Remote Sensing in Agriculture (8 papers). Lúbia Vinhas is often cited by papers focused on Data Management and Algorithms (14 papers), Geographic Information Systems Studies (8 papers) and Remote Sensing in Agriculture (8 papers). Lúbia Vinhas collaborates with scholars based in Brazil, Austria and United States. 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, Ricardo Cartaxo Modesto de Souza and Silvana Amaral and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Hydrobiologia.

In The Last Decade

Lúbia Vinhas

26 papers receiving 295 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lúbia Vinhas 117 111 54 45 39 31 310
Luiz Fernando Ferreira Gomes de Assis 78 0.7× 90 0.8× 35 0.6× 36 0.8× 30 0.8× 15 277
Vitor C. F. Gomes 96 0.8× 105 0.9× 22 0.4× 28 0.6× 34 0.9× 15 335
Hannah Augustin 123 1.1× 103 0.9× 37 0.7× 65 1.4× 90 2.3× 18 353
Yuanzheng Shao 80 0.7× 91 0.8× 34 0.6× 32 0.7× 40 1.0× 26 314
Andrew Hunter 56 0.5× 56 0.5× 51 0.9× 16 0.4× 21 0.5× 22 338
Stuart Minchin 121 1.0× 112 1.0× 28 0.5× 35 0.8× 48 1.2× 10 279
Stephen Peedell 136 1.2× 149 1.3× 38 0.7× 6 0.1× 31 0.8× 14 332
Karl–Heinrich Anders 76 0.6× 62 0.6× 60 1.1× 24 0.5× 23 0.6× 19 308
Baoxuan Jin 62 0.5× 107 1.0× 50 0.9× 34 0.8× 40 1.0× 27 350
Ali Levent Yağcı 114 1.0× 189 1.7× 15 0.3× 18 0.4× 22 0.6× 28 311

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

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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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