Daniel A. Gonçalves

1000 total citations
47 papers, 746 citations indexed

About

Daniel A. Gonçalves is a scholar working on Analytical Chemistry, Biomedical Engineering and Plant Science. According to data from OpenAlex, Daniel A. Gonçalves has authored 47 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Analytical Chemistry, 11 papers in Biomedical Engineering and 8 papers in Plant Science. Recurrent topics in Daniel A. Gonçalves's work include Analytical chemistry methods development (8 papers), Analytical Chemistry and Sensors (7 papers) and Electrochemical Analysis and Applications (5 papers). Daniel A. Gonçalves is often cited by papers focused on Analytical chemistry methods development (8 papers), Analytical Chemistry and Sensors (7 papers) and Electrochemical Analysis and Applications (5 papers). Daniel A. Gonçalves collaborates with scholars based in Brazil, United States and Germany. Daniel A. Gonçalves's co-authors include George L. Donati, Bradley T. Jones, Valter Aragão do Nascimento, Anderson R. L. Caires, Cícero Cena, Mirian C. Santos, Gustavo Nicolodelli, N. Senesi, Samuel L. Oliveira and Alex Virgílio and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Daniel A. Gonçalves

45 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel A. Gonçalves Brazil 16 292 156 143 111 98 47 746
Ana Paula Silveira Paim Brazil 15 274 0.9× 188 1.2× 50 0.3× 132 1.2× 34 0.3× 43 638
Silvana Ruella de Oliveira Brazil 16 234 0.8× 111 0.7× 126 0.9× 42 0.4× 30 0.3× 35 601
Anna Leśniewicz Poland 17 252 0.9× 102 0.7× 87 0.6× 57 0.5× 24 0.2× 47 727
M. V. Suryanarayana India 19 291 1.0× 118 0.8× 158 1.1× 199 1.8× 70 0.7× 94 1.1k
Anna Dzimitrowicz Poland 20 374 1.3× 220 1.4× 319 2.2× 98 0.9× 26 0.3× 81 1.2k
Mariusz Ślachciński Poland 17 424 1.5× 100 0.6× 36 0.3× 173 1.6× 57 0.6× 42 709
Wiesław Żyrnicki Poland 18 434 1.5× 61 0.4× 54 0.4× 138 1.2× 59 0.6× 40 896
Nomvano Mketo South Africa 16 305 1.0× 120 0.8× 224 1.6× 55 0.5× 19 0.2× 59 797
Subramanian Siva India 21 95 0.3× 227 1.5× 206 1.4× 106 1.0× 43 0.4× 49 1.2k

Countries citing papers authored by Daniel A. Gonçalves

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Gonçalves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Gonçalves. 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 Daniel A. Gonçalves. The network helps show where Daniel A. Gonçalves may publish in the future.

Co-authorship network of co-authors of Daniel A. Gonçalves

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Gonçalves. A scholar is included among the top collaborators of Daniel A. Gonçalves 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 Daniel A. Gonçalves. Daniel A. Gonçalves 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.
Gonçalves, Daniel A., et al.. (2024). Development of magnetic nanocomposite hydrogels for removal of pesticide from water. Nano-Structures & Nano-Objects. 39. 101232–101232. 1 indexed citations
2.
Cabral, Jader, Gustavo Nicolodelli, N. Senesi, et al.. (2024). Discrimination of maize transgenic and non-transgenic varieties by laser induced spectroscopy (LIBS) and machine learning algorithms. Microchemical Journal. 203. 110898–110898. 9 indexed citations
3.
Gonçalves, Daniel A., et al.. (2024). Freestanding Films of Reduced Graphene Oxide Fully Decorated with Prussian Blue Nanoparticles for Hydrogen Peroxide Sensing. ACS Omega. 9(29). 31569–31577. 3 indexed citations
4.
5.
6.
Cena, Cícero, Daniel A. Gonçalves, & Giuseppe A. Câmara. (2024). Should I Buy the Current Narrative about Predatory Journals? Facts and Insights from the Brazilian Scenario. Publications. 12(1). 7–7. 1 indexed citations
7.
Gonçalves, Daniel A., et al.. (2024). Making wood inspection easier: FTIR spectroscopy and machine learning for Brazilian native commercial wood species identification. RSC Advances. 14(11). 7283–7289. 12 indexed citations
8.
Gonçalves, Daniel A., et al.. (2023). TiO2/MWCNT/Nafion-Modified Glassy Carbon Electrode as a Sensitive Voltammetric Sensor for the Determination of Hydrogen Peroxide. Sensors. 23(18). 7732–7732. 14 indexed citations
9.
Arruda, Eduardo José de, Marisa Masumi Beppu, Fernando J. Monteiro, et al.. (2023). Nano-encapsulated Cu(II) complex as a promising insecticidal for Aedes aegypti (Diptera: Culicidae). Heliyon. 10(1). e23198–e23198. 3 indexed citations
10.
Gonçalves, Daniel A., et al.. (2021). Simultaneous separation and electroanalysis in a single polydimethylsiloxane-based platform. Talanta. 233. 122514–122514. 3 indexed citations
11.
Gonçalves, Daniel A., et al.. (2021). Evaluation of different approaches to applying the standard additions calibration method. Analytical and Bioanalytical Chemistry. 413(5). 1293–1302. 13 indexed citations
12.
Gonçalves, Daniel A., et al.. (2019). Multi-wavelength calibration: Determination of trace toxic elements in medicine plants by ICP OES. Microchemical Journal. 146. 381–386. 29 indexed citations
13.
Gonçalves, Daniel A., et al.. (2019). Evaluating the applicability of multi-energy calibration as an alternative method for quantitative molecular spectroscopy analysis. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 221. 117221–117221. 12 indexed citations
14.
Melo, Elaine Silva de Pádua, et al.. (2019). Data on ICP OES and emulsion stability of Bredemeyera floribunda root extract: Medicinal plant used by the Brazilian rural population to treat snakebites. SHILAP Revista de lepidopterología. 24. 103940–103940. 4 indexed citations
15.
Scherer, Marisa D., Juliana Caroline Vivian Spósito, William F. Falco, et al.. (2019). Cytotoxic and genotoxic effects of silver nanoparticles on meristematic cells of Allium cepa roots: A close analysis of particle size dependence. The Science of The Total Environment. 660. 459–467. 112 indexed citations
16.
Gonçalves, Daniel A., et al.. (2017). Determination of Trace Elements in Cow Placenta by Tungsten Coil Atomic Emission Spectrometry. Biological Trace Element Research. 178(2). 228–234. 2 indexed citations
17.
Virgílio, Alex, et al.. (2017). Multi-energy calibration applied to atomic spectrometry. Analytica Chimica Acta. 982. 31–36. 67 indexed citations
18.
Gonçalves, Daniel A., et al.. (2016). Standard dilution analysis of beverages by microwave-induced plasma optical emission spectrometry. Analytica Chimica Acta. 909. 24–29. 51 indexed citations
19.
Liu, Kegang, Zhen Zhu, Xueya Wang, et al.. (2015). Microfluidics-based single-step preparation of injection-ready polymeric nanosystems for medical imaging and drug delivery. Nanoscale. 7(40). 16983–16993. 26 indexed citations
20.
Gonçalves, Daniel A.. (2012). Análise logística e ambiental no sistema de corte, carregamento e transporte da cana-de-açúcar. Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista). 3 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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