Orquídia Neves

55 total papers · 668 total citations
30 papers, 520 citations indexed

About

Orquídia Neves is a scholar working on Radiological and Ultrasound Technology, Pollution and Geochemistry and Petrology. According to data from OpenAlex, Orquídia Neves has authored 30 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiological and Ultrasound Technology, 8 papers in Pollution and 7 papers in Geochemistry and Petrology. Recurrent topics in Orquídia Neves's work include Radioactivity and Radon Measurements (9 papers), Heavy metals in environment (7 papers) and Groundwater and Isotope Geochemistry (6 papers). Orquídia Neves is often cited by papers focused on Radioactivity and Radon Measurements (9 papers), Heavy metals in environment (7 papers) and Groundwater and Isotope Geochemistry (6 papers). Orquídia Neves collaborates with scholars based in Portugal, Spain and Brazil. Orquídia Neves's co-authors include Maria Manuela Abreu, Eduardo Ferreira da Silva, Manuela Inácio, Marina M.S. Cabral-Pinto, Agostinho Almeida, Edgar Pinto, Bárbara Oliveiros, José M. Marques, Paulà M. Carreira and Hans Eggenkamp and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hydrology.

In The Last Decade

Orquídia Neves

29 papers receiving 503 citations

Author Peers

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

Author Last Decade Papers Cites
Orquídia Neves 168 125 101 99 79 30 520
Masami K. Koshikawa 191 1.1× 105 0.8× 107 1.1× 82 0.8× 66 0.8× 34 528
B. Smith 161 1.0× 70 0.6× 159 1.6× 97 1.0× 39 0.5× 29 534
Maria Luiza D.P. Godoy 143 0.9× 170 1.4× 197 2.0× 77 0.8× 48 0.6× 26 595
Juliana Aparecida Galhardi 148 0.9× 115 0.9× 37 0.4× 134 1.4× 46 0.6× 22 516
Latinka Slavković‐Beškoski 244 1.5× 116 0.9× 147 1.5× 63 0.6× 49 0.6× 25 605
Valérie Olive 74 0.4× 52 0.4× 77 0.8× 120 1.2× 64 0.8× 28 529
R.C. Severson 261 1.6× 64 0.5× 61 0.6× 95 1.0× 89 1.1× 55 589
Sungwook Choung 114 0.7× 68 0.5× 86 0.9× 60 0.6× 67 0.8× 36 601
Ola Sæther 168 1.0× 58 0.5× 75 0.7× 168 1.7× 130 1.6× 20 523
Moon-Su Kim 103 0.6× 53 0.4× 46 0.5× 138 1.4× 122 1.5× 33 465

Countries citing papers authored by Orquídia Neves

Since Specialization
Citations

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

Fields of papers citing papers by Orquídia Neves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Orquídia Neves

This figure shows the co-authorship network connecting the top 25 collaborators of Orquídia Neves. A scholar is included among the top collaborators of Orquídia Neves 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 Orquídia Neves. Orquídia Neves 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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