A. A. Gomes

3.1k total citations · 1 hit paper
154 papers, 2.5k citations indexed

About

A. A. Gomes is a scholar working on Analytical Chemistry, Condensed Matter Physics and Biomedical Engineering. According to data from OpenAlex, A. A. Gomes has authored 154 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Analytical Chemistry, 47 papers in Condensed Matter Physics and 37 papers in Biomedical Engineering. Recurrent topics in A. A. Gomes's work include Spectroscopy and Chemometric Analyses (55 papers), Advanced Chemical Sensor Technologies (31 papers) and Rare-earth and actinide compounds (27 papers). A. A. Gomes is often cited by papers focused on Spectroscopy and Chemometric Analyses (55 papers), Advanced Chemical Sensor Technologies (31 papers) and Rare-earth and actinide compounds (27 papers). A. A. Gomes collaborates with scholars based in Brazil, Argentina and Slovakia. A. A. Gomes's co-authors include Mário César Ugulino de Araújo, Éder C. Lima, Hai Nguyen Tran, Roberto Kawakami Harrop Galvão, Germano Véras, David Fernandes, Héctor C. Goicoechea, Arlindo Rodrigues Galvão Filho, Sófacles Figueredo Carreiro Soares and Paulo Henrique Gonçalves Dias Diniz and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Journal of Applied Physics.

In The Last Decade

A. A. Gomes

148 papers receiving 2.4k citations

Hit Papers

Comparison of the nonlinear and linear forms of the van't... 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Comparison of the nonlinear and linear forms of the van't Hoff equation for calculation of adsorption thermodynamic parameters (∆S° and ∆H°)
    2020 309 citations A. A. Gomes et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. A. Gomes Brazil 25 1.1k 636 319 316 284 154 2.5k
Gerardo Gamez United States 31 949 0.8× 768 1.2× 248 0.8× 129 0.4× 366 1.3× 89 3.6k
Zhisheng Wu China 32 738 0.7× 479 0.8× 164 0.5× 137 0.4× 386 1.4× 217 3.3k
J.P. Huvenne France 25 731 0.6× 426 0.7× 203 0.6× 173 0.5× 219 0.8× 67 1.9k
Zhuoyong Zhang China 23 520 0.5× 442 0.7× 114 0.4× 87 0.3× 291 1.0× 99 2.0k
Alfred A. Christy Norway 28 1.1k 1.0× 508 0.8× 182 0.6× 166 0.5× 182 0.6× 79 2.5k
Eustáquio Vinícius Ribeiro de Castro Brazil 34 1.9k 1.7× 942 1.5× 200 0.6× 159 0.5× 256 0.9× 156 3.8k
M. Fatemi Iran 29 441 0.4× 506 0.8× 110 0.3× 73 0.2× 427 1.5× 203 3.1k
C. Ferrari Italy 31 202 0.2× 792 1.2× 299 0.9× 46 0.1× 159 0.6× 116 3.0k
Nikolaï Lebovka Ukraine 53 257 0.2× 1.3k 2.0× 2.9k 9.0× 58 0.2× 822 2.9× 235 8.5k
Surendra Jain India 29 486 0.4× 394 0.6× 113 0.4× 67 0.2× 436 1.5× 173 2.7k

Countries citing papers authored by A. A. Gomes

Since Specialization
Citations

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

Fields of papers citing papers by A. A. Gomes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. A. Gomes

This figure shows the co-authorship network connecting the top 25 collaborators of A. A. Gomes. A scholar is included among the top collaborators of A. A. Gomes 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 A. A. Gomes. A. A. Gomes 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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2.
Malegori, Cristina, et al.. (2025). Modeling power-based variable selection for rigorous one-class classification with SIMCA. Analytica Chimica Acta. 1375. 344575–344575.
3.
Gomes, A. A., Paulo Henrique Gonçalves Dias Diniz, David Fernandes, et al.. (2025). Digital image-based chemometrics for food analysis: a practical tutorial and roadmap. Food Chemistry. 486. 144531–144531. 1 indexed citations
4.
Gomes, A. A., et al.. (2024). Geographic authentication of argentinian teas by combining one-class models and discriminant methods for modeling near infrared spectra. Chemometrics and Intelligent Laboratory Systems. 251. 105156–105156. 6 indexed citations
5.
Pistonesi, Marcelo F., et al.. (2023). An improved successive projections algorithm version to variable selection in multiple linear regression. Analytica Chimica Acta. 1274. 341560–341560. 27 indexed citations
6.
Gomes, A. A., et al.. (2022). Enhanced multi-stir bar sorptive extraction for wine analysis: Alteration in headspace mode. Food Research International. 158. 111510–111510. 6 indexed citations
7.
Guerra, C. C., et al.. (2022). Grape juice classification with respect agricultural production system by means of visible spectroscopy chemometrics assisted. Journal of Food Composition and Analysis. 114. 104793–104793. 5 indexed citations
8.
Santos, Darlisson de Alexandria, et al.. (2021). VOCs profile of Colletotrichum spp. as a potential tool for quality control of açaí pulp. Food Chemistry. 362. 130150–130150. 6 indexed citations
9.
10.
Fernandes, David, Paulo Henrique Gonçalves Dias Diniz, A. A. Gomes, et al.. (2021). Scores selection via Fisher’s discriminant power in PCA-LDA to improve the classification of food data. Food Chemistry. 363. 130296–130296. 46 indexed citations
11.
Diniz, Paulo Henrique Gonçalves Dias, et al.. (2020). Ant colony optimization for variable selection in discriminant linear analysis. Journal of Chemometrics. 34(12). 5 indexed citations
12.
Gomes, A. A., et al.. (2020). Analytical and preparative chromatographic approaches for extraction of spilanthol from Acmella oleracea flowers. Microchemical Journal. 157. 105035–105035. 10 indexed citations
13.
Fernandes, David, et al.. (2019). Digital image-based tracing of geographic origin, winemaker, and grape type for red wine authentication. Food Chemistry. 312. 126060–126060. 22 indexed citations
14.
Gomes, A. A., et al.. (2019). Mineral Composition Evaluation in Energy Drinks Using ICP OES and Chemometric Tools. Biological Trace Element Research. 194(1). 284–294. 8 indexed citations
15.
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Gomes, A. A., et al.. (2012). A flow-batch analyzer using a low cost aquarium pump for classification of citrus juice with respect to brand. Talanta. 107. 45–48. 5 indexed citations
17.
18.
Diniz, Paulo Henrique Gonçalves Dias, et al.. (2011). Flow injection photometric determination of NaCl, KCl and glucose in injectable drugs exploiting Schlieren signals. Journal of Pharmaceutical and Biomedical Analysis. 62. 172–176. 2 indexed citations
19.
Ghasemi‐Varnamkhasti, Mahdi, Seyed Saeid Mohtasebi, Marı́a Luz Rodrı́guez-Méndez, et al.. (2011). Screening analysis of beer ageing using near infrared spectroscopy and the Successive Projections Algorithm for variable selection. Talanta. 89. 286–291. 48 indexed citations
20.
Véras, Germano, et al.. (2010). Classification of biodiesel using NIR spectrometry and multivariate techniques. Talanta. 83(2). 565–568. 34 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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