Danielle Goveia

61 total papers · 458 total citations
43 papers, 340 citations indexed

About

Danielle Goveia is a scholar working on Water Science and Technology, Pollution and Biomedical Engineering. According to data from OpenAlex, Danielle Goveia has authored 43 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Water Science and Technology, 11 papers in Pollution and 8 papers in Biomedical Engineering. Recurrent topics in Danielle Goveia's work include Water Quality and Pollution Assessment (7 papers), Heavy metals in environment (7 papers) and Adsorption and biosorption for pollutant removal (6 papers). Danielle Goveia is often cited by papers focused on Water Quality and Pollution Assessment (7 papers), Heavy metals in environment (7 papers) and Adsorption and biosorption for pollutant removal (6 papers). Danielle Goveia collaborates with scholars based in Brazil, Portugal and France. Danielle Goveia's co-authors include André Henrique Rosa, Leonardo Fernandes Fraceto, Newton Luiz Dias Filho, Luciana Camargo de Oliveira, Camila Almeida Melo, Wander Gustavo Botero, Adriana Paiva de Oliveira, Paulo Sérgio Tonello, José Paulo Pinheiro and Luciane Pimenta Cruz Romão and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and Scientific Reports.

In The Last Decade

Danielle Goveia

39 papers receiving 328 citations

Author Peers

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

Author Last Decade Papers Cites
Danielle Goveia 81 75 62 50 39 43 340
Thi Ha Nguyen 85 1.0× 86 1.1× 54 0.9× 60 1.2× 34 0.9× 27 385
Awadh O. AlSuhaimi 94 1.2× 65 0.9× 87 1.4× 42 0.8× 47 1.2× 25 337
Elianna Castillo 72 0.9× 61 0.8× 52 0.8× 45 0.9× 58 1.5× 21 361
Cristina Dinu 143 1.8× 55 0.7× 77 1.2× 27 0.5× 16 0.4× 37 349
Vasile Ion Iancu 134 1.7× 70 0.9× 67 1.1× 36 0.7× 14 0.4× 60 358
Ruifeng Li 38 0.5× 76 1.0× 29 0.5× 43 0.9× 17 0.4× 30 332
Gabriela Ulloa‐Mercado 100 1.2× 145 1.9× 23 0.4× 71 1.4× 44 1.1× 26 380
Göksel Akçin 43 0.5× 137 1.8× 91 1.5× 54 1.1× 46 1.2× 26 337
Lúcia Helena Gomes Coelho 109 1.3× 101 1.3× 28 0.5× 111 2.2× 23 0.6× 34 393
Qiangying Zhang 88 1.1× 85 1.1× 50 0.8× 30 0.6× 20 0.5× 18 361

Countries citing papers authored by Danielle Goveia

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Goveia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Goveia

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Goveia. A scholar is included among the top collaborators of Danielle Goveia 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 Danielle Goveia. Danielle Goveia 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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2026