Geraldo D. Matos

827 total citations
22 papers, 735 citations indexed

About

Geraldo D. Matos is a scholar working on Analytical Chemistry, Pollution and Electrochemistry. According to data from OpenAlex, Geraldo D. Matos has authored 22 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Analytical Chemistry, 10 papers in Pollution and 9 papers in Electrochemistry. Recurrent topics in Geraldo D. Matos's work include Analytical chemistry methods development (19 papers), Heavy metals in environment (10 papers) and Electrochemical Analysis and Applications (9 papers). Geraldo D. Matos is often cited by papers focused on Analytical chemistry methods development (19 papers), Heavy metals in environment (10 papers) and Electrochemical Analysis and Applications (9 papers). Geraldo D. Matos collaborates with scholars based in Brazil and Spain. Geraldo D. Matos's co-authors include Sérgio L.C. Ferreira, Walter Nei Lopes dos Santos, Erik Galvão Paranhos da Silva, Manuel Miró, César Ricardo Teixeira Tarley, Geovani C. Brandão, Marcos Almeida Bezerra, Antônio C. S. Costa, Laiana O.B. Silva and Fernanda A. de Santana and has published in prestigious journals such as Analytica Chimica Acta, Talanta and Journal of Analytical Atomic Spectrometry.

In The Last Decade

Geraldo D. Matos

22 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geraldo D. Matos Brazil 13 480 225 130 110 106 22 735
Katarzyna Pytlakowska Poland 17 636 1.3× 275 1.2× 137 1.1× 93 0.8× 75 0.7× 38 1.0k
Fábio Alan Carqueija Amorim Brazil 17 646 1.3× 343 1.5× 135 1.0× 125 1.1× 106 1.0× 39 987
Qingwen Deng China 16 566 1.2× 415 1.8× 111 0.9× 115 1.0× 77 0.7× 34 788
Ewa Stanisz Poland 18 480 1.0× 280 1.2× 82 0.6× 199 1.8× 88 0.8× 32 848
Clarice D.B. Amaral Brazil 16 503 1.0× 221 1.0× 139 1.1× 130 1.2× 94 0.9× 53 1.0k
Hadla S. Ferreira Brazil 14 433 0.9× 265 1.2× 60 0.5× 69 0.6× 115 1.1× 20 679
Morgana B. Dessuy Brazil 21 671 1.4× 280 1.2× 208 1.6× 201 1.8× 113 1.1× 47 1.1k
Jacira Teixeira Castro Brazil 9 474 1.0× 164 0.7× 137 1.1× 111 1.0× 100 0.9× 14 638
José Bento Borba da Silva Brazil 15 384 0.8× 215 1.0× 147 1.1× 130 1.2× 51 0.5× 38 592
Magdalena Krawczyk Poland 18 534 1.1× 266 1.2× 116 0.9× 179 1.6× 44 0.4× 33 811

Countries citing papers authored by Geraldo D. Matos

Since Specialization
Citations

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

Fields of papers citing papers by Geraldo D. Matos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geraldo D. Matos. 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 Geraldo D. Matos. The network helps show where Geraldo D. Matos may publish in the future.

Co-authorship network of co-authors of Geraldo D. Matos

This figure shows the co-authorship network connecting the top 25 collaborators of Geraldo D. Matos. A scholar is included among the top collaborators of Geraldo D. Matos 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 Geraldo D. Matos. Geraldo D. Matos 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
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Santos, Ivanice Ferreira dos, et al.. (2013). Multivariate analysis of the mineral content of raw and cooked okra (Abelmoschus esculentus L.). Microchemical Journal. 110. 439–443. 37 indexed citations
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Santana, Fernanda A. de, José Barbosa, Geraldo D. Matos, Maria Graças A. Korn, & Sérgio L.C. Ferreira. (2013). Direct determination of gallium in bauxite employing ICP OES using the reference element technique for interference elimination. Microchemical Journal. 110. 198–201. 15 indexed citations
6.
Ferreira, Sérgio L.C., Laiana O.B. Silva, Fernanda A. de Santana, et al.. (2012). A review of reflux systems using cold finger for sample preparation in the determination of volatile elements. Microchemical Journal. 106. 307–310. 49 indexed citations
7.
Santos, Ana Maria Pinto dos, et al.. (2012). Determination and Evaluation Employing Multivariate Analysis of the Mineral Composition of Broccoli (Brassica oleracea L. var. Italica). Food Analytical Methods. 6(3). 745–752. 14 indexed citations
8.
Silva, Laiana O.B., et al.. (2012). Slurry Sampling for the Determination of Mercury in Rice Using Cold Vapor Atomic Absorption Spectrometry. Food Analytical Methods. 5(6). 1289–1295. 21 indexed citations
9.
Brandão, Geovani C., et al.. (2011). Development of an Analytical Method Based in the Slurry Sampling for Iron Determination in Fortified Milk Powder by HR-CS FAAS. Food Analytical Methods. 5(3). 579–584. 12 indexed citations
10.
Ferreira, Sérgio L.C., et al.. (2011). Aluminium as chemical modifier for the determination of lead in sugar cane spirits using electrothermal atomic absorption spectrometry. Analytical Methods. 3(5). 1168–1168. 11 indexed citations
11.
Brandão, Geovani C., Geraldo D. Matos, & Sérgio L.C. Ferreira. (2011). Slurry sampling and high-resolution continuum source flame atomic absorption spectrometry using secondary lines for the determination of Ca and Mg in dairy products. Microchemical Journal. 98(2). 231–233. 25 indexed citations
12.
Silva, Laiana O.B., et al.. (2011). Determination of cadmium in rice by electrothermal atomic absorption spectrometry using aluminum as permanent modifier. Analytical Methods. 3(11). 2495–2495. 30 indexed citations
13.
Matos, Geraldo D., et al.. (2011). A procedure using slurry sampling for the determination of manganese in corn flour by ET AAS. Analytical Methods. 3(11). 2625–2625. 5 indexed citations
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Portugal, Lindomar A., et al.. (2010). Determination of lead in aluminum and magnesium antacids using electrothermal atomic absorption spectrometry. Microchemical Journal. 98(1). 29–31. 10 indexed citations
16.
Ferreira, Sérgio L.C., Manuel Miró, Erik Galvão Paranhos da Silva, et al.. (2010). Slurry Sampling—An Analytical Strategy for the Determination of Metals and Metalloids by Spectroanalytical Techniques. Applied Spectroscopy Reviews. 45(1). 44–62. 88 indexed citations
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Tarley, César Ricardo Teixeira, Walter Nei Lopes dos Santos, Geraldo D. Matos, et al.. (2009). Chemometric tools in electroanalytical chemistry: Methods for optimization based on factorial design and response surface methodology. Microchemical Journal. 92(1). 58–67. 227 indexed citations
19.
Ferreira, Sérgio L.C., Erik Galvão Paranhos da Silva, Lindomar A. Portugal, et al.. (2008). Evaluation and Application of the Internal Standard Technique for the Direct Determination of Copper in Fruit Juices Employing Fast Sequential Flame Atomic Absorption Spectrometry. Analytical Letters. 41(9). 1571–1578. 11 indexed citations
20.
Tarley, César Ricardo Teixeira, et al.. (2005). Thermospray Flame Furnace-AAS Determination of Copper after On-line Sorbent Preconcentration Using a System Optimized by Experimental Designs. Analytical Sciences. 21(11). 1337–1342. 24 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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