Roberto G. Pellerano

1.2k total citations
45 papers, 913 citations indexed

About

Roberto G. Pellerano is a scholar working on Analytical Chemistry, Food Science and Molecular Biology. According to data from OpenAlex, Roberto G. Pellerano has authored 45 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Analytical Chemistry, 9 papers in Food Science and 7 papers in Molecular Biology. Recurrent topics in Roberto G. Pellerano's work include Heavy Metals in Plants (16 papers), Spectroscopy and Chemometric Analyses (9 papers) and Insect and Pesticide Research (7 papers). Roberto G. Pellerano is often cited by papers focused on Heavy Metals in Plants (16 papers), Spectroscopy and Chemometric Analyses (9 papers) and Insect and Pesticide Research (7 papers). Roberto G. Pellerano collaborates with scholars based in Argentina, Brazil and Mexico. Roberto G. Pellerano's co-authors include Eduardo J. Marchevsky, José M. Camiña, Miguel Á. Cantarelli, Michael Pérez-Rodríguez, Leonardo Pezza, Helena Redigolo Pezza, Juan Díaz, Francisco Vázquez, Rodolfo G. Wuilloud and Leticia B. Escudero and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Roberto G. Pellerano

42 papers receiving 876 citations

Peers

Roberto G. Pellerano

Eduardo J. Marchevsky Argentina

José M. Camiña Argentina

Christophe Cordella France

M. Martín Spain

Qiaoying Chang China

Elisabeta‐Irina Geană Romania

Giuseppe Daniel Bua Italy

Guixian Hu China

Łukasz Rajski Spain

Eduardo J. Marchevsky Argentina

Roberto G. Pellerano

342 ×0.9

193 ×0.7

208 ×1.0

147 ×0.7

153 ×1.0

Citations per year, relative to Roberto G. Pellerano Roberto G. Pellerano (= 1×) peers Eduardo J. Marchevsky

Countries citing papers authored by Roberto G. Pellerano

Since Specialization

Citations

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

Fields of papers citing papers by Roberto G. Pellerano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto G. Pellerano. 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 Roberto G. Pellerano. The network helps show where Roberto G. Pellerano may publish in the future.

Co-authorship network of co-authors of Roberto G. Pellerano

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto G. Pellerano. A scholar is included among the top collaborators of Roberto G. Pellerano 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 Roberto G. Pellerano. Roberto G. Pellerano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Pérez-Rodríguez, Michael, et al.. (2024). Elemental tracer determination and modeling for geographical origin designation of sweet oranges. Journal of Agriculture and Food Research. 18. 101386–101386. 1 indexed citations

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

Fiorentini, Emiliano F., et al.. (2024). Intra-regional classification and quality evaluation of honey from Mendoza (Argentina) based on multi-elemental analysis and chemometrics. Journal of Food Composition and Analysis. 137. 106958–106958.

Londonio, Agustín, et al.. (2024). Provenance discrimination of commercial grape juices from Argentina and Brazil based on elemental composition and chemometric methods. Journal of Food Measurement & Characterization. 18(3). 2409–2419. 3 indexed citations

Pérez-Rodríguez, Michael, et al.. (2023). Measuring trace element fingerprinting for cereal bar authentication based on type and principal ingredient. Food Chemistry X. 18. 100744–100744. 3 indexed citations

Pérez-Rodríguez, Michael, Alberto Mendoza, Lucy T. González, et al.. (2023). Rice Labeling according to Grain Quality Features Using Laser-Induced Breakdown Spectroscopy. Foods. 12(2). 365–365. 6 indexed citations

Goicoechea, Héctor C., et al.. (2023). Geographical origin identification of mandarin fruits by analyzing fingerprint signatures based on multielemental composition. Food Chemistry X. 20. 101040–101040. 8 indexed citations

Delfino, Mario, et al.. (2021). Rapid determination of three textile surfactants in environmental samples by modeling excitation-emission second-order data with multi-way calibration methods. Environmental Science and Pollution Research. 29(17). 25869–25880. 2 indexed citations

Pérez-Rodríguez, Michael, et al.. (2020). Assessing mineral profiles for rice flour fraud detection by principal component analysis based data fusion. Food Chemistry. 339. 128125–128125. 26 indexed citations

10.

Ballabio, Davide, et al.. (2020). Traceability of soybeans produced in Argentina based on their trace element profiles. Journal of Chemometrics. 34(12). 8 indexed citations

11.

Pérez-Rodríguez, Michael, et al.. (2019). Brown rice authenticity evaluation by spark discharge-laser-induced breakdown spectroscopy. Food Chemistry. 297. 124960–124960. 29 indexed citations

12.

Díaz, Juan, et al.. (2019). Geographical origin authentication of honey produced in Argentina. Food Bioscience. 33. 100483–100483. 38 indexed citations

13.

Pérez-Rodríguez, Michael, Roberto G. Pellerano, Leonardo Pezza, & Helena Redigolo Pezza. (2018). An overview of the main foodstuff sample preparation technologies for tetracycline residue determination. Talanta. 182. 1–21. 145 indexed citations

14.

Marchevsky, Eduardo, et al.. (2017). Non-essential element concentrations in brown grain rice: Assessment by advanced data mining techniques. Environmental Science and Pollution Research. 25(22). 21362–21367. 6 indexed citations

15.

Marchevsky, Eduardo J., et al.. (2016). Determining the geographical origin of Sechium edule fruits by multielement analysis and advanced chemometric techniques. Food Chemistry. 210. 228–234. 36 indexed citations

16.

Sgroppo, Sonia C., et al.. (2016). Toxic Trace Element Contents in Gluten-free Cereal Bars Marketed in Argentina. 3(1). 12–16. 5 indexed citations

17.

Petenatti, Elisa M., et al.. (2012). Multivariate Characterization of "Argentinean Mistletoe", Ligaria cuneifolia (Loranthaceae) According to Their Mineral Nutrient Composition. Boletin Latinoamericano y del Caribe de plantas Medicinales y Aromaticas. 11(3). 233–240. 1 indexed citations

18.

Pellerano, Roberto G., et al.. (2011). FUNCIONALIZACIÓN DE UNA RESINA DE INTERCAMBIO IONICO PARA LA PRECONCENTRACION DE Hg(II). SHILAP Revista de lepidopterología. 2 indexed citations

19.

Cantarelli, Miguel Á., et al.. (2010). Characterisation of two South American food and medicinal plants by chemometric methods based on their multielemental composition. Phytochemical Analysis. 21(6). 550–555. 16 indexed citations

20.

Pellerano, Roberto G., et al.. (2007). Determination of lead in waters of parana river by solid phase spectrophotometry. Chemia Analityczna. 52(3). 501–510. 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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