Rommel Barbosa

1.9k total citations
58 papers, 1.4k citations indexed

About

Rommel Barbosa is a scholar working on Analytical Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Rommel Barbosa has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Analytical Chemistry, 14 papers in Molecular Biology and 14 papers in Computational Theory and Mathematics. Recurrent topics in Rommel Barbosa's work include Spectroscopy and Chemometric Analyses (14 papers), Advanced Graph Theory Research (13 papers) and Advanced Chemical Sensor Technologies (11 papers). Rommel Barbosa is often cited by papers focused on Spectroscopy and Chemometric Analyses (14 papers), Advanced Graph Theory Research (13 papers) and Advanced Chemical Sensor Technologies (11 papers). Rommel Barbosa collaborates with scholars based in Brazil, United States and Germany. Rommel Barbosa's co-authors include Fernando Barbosa, Camila Maione, Nattane Luíza da Costa, Bruno Lemos Batista, Andrés D. Campiglia, Inar Alves de Castro, Bruno Alves Rocha, Donald R. Nelson, Jairo Lisboa Rodrigues and Tibérius O. Bonates and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Environment International.

In The Last Decade

Rommel Barbosa

56 papers receiving 1.4k citations

Peers

Rommel Barbosa
Ana M. Aguilera Spain
Sergey Kucheryavskiy Denmark
Jeroen J. Jansen Netherlands
Xiaochan Wang China
Frank Westad Norway
Shungeng Min China
Lu Xu China
Jeroen J. Jansen Netherlands
Jasper Engel Netherlands
Jun‐Li Xu Ireland
Ana M. Aguilera Spain
Rommel Barbosa
Citations per year, relative to Rommel Barbosa Rommel Barbosa (= 1×) peers Ana M. Aguilera

Countries citing papers authored by Rommel Barbosa

Since Specialization
Citations

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

Fields of papers citing papers by Rommel Barbosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rommel Barbosa

This figure shows the co-authorship network connecting the top 25 collaborators of Rommel Barbosa. A scholar is included among the top collaborators of Rommel Barbosa 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 Rommel Barbosa. Rommel Barbosa 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.
Barbosa, Rommel, et al.. (2022). Fraud detection in social income transfer programs: a social data mining approach applied to data from Brazil. SN Social Sciences. 2(9). 1 indexed citations
2.
Costa, Nattane Luíza da, et al.. (2022). Finding the combination of multiple biomarkers to diagnose oral squamous cell carcinoma – A data mining approach. Computers in Biology and Medicine. 143. 105296–105296. 11 indexed citations
3.
Ximenez, João Paulo Bianchi, Ariane Zamarioli, Melissa A. Kacena, Rommel Barbosa, & Fernando Barbosa. (2020). Association of Urinary and Blood Concentrations of Heavy Metals with Measures of Bone Mineral Density Loss: a Data Mining Approach with the Results from the National Health and Nutrition Examination Survey. Biological Trace Element Research. 199(1). 92–101. 17 indexed citations
4.
Costa, Nattane Luíza da, et al.. (2020). Evaluation of feature selection methods based on artificial neural network weights. Expert Systems with Applications. 168. 114312–114312. 65 indexed citations
5.
Barroso, Lúcia Pereira, et al.. (2019). Chemical typicality of South American red wines classified according to their volatile and phenolic compounds using multivariate analysis. Food Chemistry. 302. 125340–125340. 34 indexed citations
6.
Barbosa, Rommel, et al.. (2019). Using Machine Learning and Multi-Element Analysis to Evaluate the Authenticity of Organic and Conventional Vegetables. Food Analytical Methods. 12(11). 2542–2554. 15 indexed citations
7.
Barbosa, Rommel, et al.. (2019). Methods of Authentication of Food Grown in Organic and Conventional Systems Using Chemometrics and Data Mining Algorithms: a Review. Food Analytical Methods. 12(4). 887–901. 26 indexed citations
8.
Barbosa, Rommel, et al.. (2018). Maximal independent sets in complementary prism graphs.. Ars Combinatoria. 137. 283–294. 2 indexed citations
9.
Rocha, Bruno Alves, Alexandros G. Asimakopoulos, Masato Honda, et al.. (2018). Advanced data mining approaches in the assessment of urinary concentrations of bisphenols, chlorophenols, parabens and benzophenones in Brazilian children and their association to DNA damage. Environment International. 116. 269–277. 108 indexed citations
10.
Maione, Camila, Vanessa Cristina de Oliveira Souza, José Luiz Costa, et al.. (2017). Using Cluster Analysis and ICP‐MS to Identify Groups of Ecstasy Tablets in Sao Paulo State, Brazil. Journal of Forensic Sciences. 62(6). 1479–1486. 5 indexed citations
11.
Maione, Camila, et al.. (2015). Comparative study of data mining techniques for the authentication of organic grape juice based on ICP-MS analysis. Expert Systems with Applications. 49. 60–73. 54 indexed citations
12.
Muszyński, Artur, Malcolm A. O’Neill, Sivakumar Pattathil, et al.. (2015). Xyloglucan, galactomannan, glucuronoxylan, and rhamnogalacturonan I do not have identical structures in soybean root and root hair cell walls. Planta. 242(5). 1123–1138. 16 indexed citations
13.
14.
Barbosa, Rommel, et al.. (2013). On graphs with maximal independent sets of few sizes, minimum degree at least 2, and girth at least 7. Discrete Mathematics. 313(16). 1630–1635. 1 indexed citations
15.
Batista, Bruno Lemos, Bruno Alves Rocha, Jairo Lisboa Rodrigues, et al.. (2012). Multi-element determination in Brazilian honey samples by inductively coupled plasma mass spectrometry and estimation of geographic origin with data mining techniques. Food Research International. 49(1). 209–215. 142 indexed citations
16.
17.
Barbosa, Rommel, et al.. (2011). The colorful Helly theorem and general hypergraphs. European Journal of Combinatorics. 33(5). 743–749. 1 indexed citations
18.
Barbosa, Rommel & Domingos M. Cardoso. (2004). On regular-stable graphs. Ars Combinatoria. 70. 149–159. 5 indexed citations
19.
Barbosa, Rommel & M. N. Ellingham. (2003). A characterisation of cubic parity graphs.. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 28. 273–294. 2 indexed citations
20.
Barbosa, Rommel. (2000). On 1-Zm-well-covered and strongly Zm-well-covered graphs.. Ars Combinatoria. 57. 1 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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