Claudio Fredes

634 total citations · 1 hit paper
19 papers, 427 citations indexed

About

Claudio Fredes is a scholar working on Plant Science, Analytical Chemistry and Food Science. According to data from OpenAlex, Claudio Fredes has authored 19 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 9 papers in Analytical Chemistry and 5 papers in Food Science. Recurrent topics in Claudio Fredes's work include Horticultural and Viticultural Research (10 papers), Spectroscopy and Chemometric Analyses (9 papers) and Fermentation and Sensory Analysis (4 papers). Claudio Fredes is often cited by papers focused on Horticultural and Viticultural Research (10 papers), Spectroscopy and Chemometric Analyses (9 papers) and Fermentation and Sensory Analysis (4 papers). Claudio Fredes collaborates with scholars based in Chile, Czechia and Argentina. Claudio Fredes's co-authors include Marco Mora, José Naranjo-Torres, Ruber Hernández-García, Ricardo J. Barrientos, Juan Pablo Rojas Hernández, Eduardo Holzapfel, María Ospina, María Pía Muñoz, Kyle Steenland and Antonia M. Calafat and has published in prestigious journals such as Journal of Food Engineering, Environmental Research and Computers and Electronics in Agriculture.

In The Last Decade

Claudio Fredes

17 papers receiving 401 citations

Hit Papers

A Review of Convolutional Neural Network Applied to Fruit... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Fredes Chile 8 266 132 64 43 42 19 427
Jimy Oblitas Peru 9 159 0.6× 180 1.4× 83 1.3× 84 2.0× 33 0.8× 45 448
Edwin R. Arboleda Philippines 10 133 0.5× 109 0.8× 49 0.8× 48 1.1× 33 0.8× 61 351
Xiaoyi Wang China 6 292 1.1× 71 0.5× 61 1.0× 28 0.7× 73 1.7× 7 543
Yiping Chen China 11 436 1.6× 139 1.1× 71 1.1× 24 0.6× 30 0.7× 15 678
V G Narendra India 9 149 0.6× 122 0.9× 33 0.5× 40 0.9× 38 0.9× 33 331
Evans Asenso Ghana 10 247 0.9× 68 0.5× 26 0.4× 19 0.4× 66 1.6× 27 483
Eduardo Piedad Taiwan 8 154 0.6× 123 0.9× 27 0.4× 46 1.1× 15 0.4× 22 355
R. Malmathanraj India 11 193 0.7× 126 1.0× 17 0.3× 38 0.9× 30 0.7× 31 315
Marsyita Hanafi Malaysia 11 215 0.8× 212 1.6× 37 0.6× 61 1.4× 21 0.5× 55 497
Huanda Lu China 12 181 0.7× 266 2.0× 52 0.8× 110 2.6× 49 1.2× 20 669

Countries citing papers authored by Claudio Fredes

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Fredes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Fredes

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

All Works

19 of 19 papers shown
1.
Mora, Marco, et al.. (2022). Raspberries-LITRP Database: RGB Images Database for the Industrial Applications of Red Raspberries’ Automatic Quality Estimation. Applied Sciences. 12(22). 11586–11586. 2 indexed citations
2.
Fredes, Claudio, et al.. (2021). A Model Based on Clusters of Similar Color and NIR to Estimate Oil Content of Single Olives. Foods. 10(3). 609–609. 4 indexed citations
3.
Naranjo-Torres, José, et al.. (2021). Disease and Defect Detection System for Raspberries Based on Convolutional Neural Networks. Applied Sciences. 11(24). 11868–11868. 6 indexed citations
4.
Naranjo-Torres, José, et al.. (2020). A Review of Convolutional Neural Network Applied to Fruit Image Processing. Applied Sciences. 10(10). 3443–3443. 260 indexed citations breakdown →
5.
Muñoz-Quezada, María Teresa, Boris Lucero, Asa Bradman, et al.. (2019). An educational intervention on the risk perception of pesticides exposure and organophosphate metabolites urinary concentrations in rural school children in Maule Region, Chile. Environmental Research. 176. 108554–108554. 30 indexed citations
6.
Fredes, Claudio & Sergio Espinoza. (2018). Evaluation of an Experimental Virtual Learning Environment of Winemaking for Middle School and College Students in Chile. Revista Electrónica Educare. 22(2). 1–1. 1 indexed citations
7.
Fredes, Claudio, Marco Mora, & Marcos Carrasco-Benavides. (2017). An Analysis of Seed Colour During Ripening of Cabernet Sauvignon Grapes. South African Journal of Enology and Viticulture. 38(2). 5 indexed citations
8.
Carrasco-Benavides, Marcos, et al.. (2017). VEGETATIVE AND PRODUCTIVE RESPONSES OF ORGANIC APPLE (Malus domestica L.) TO FOSSILIZED RED GUANO AND A CONTROLLED-RELEASE FERTILIZER. Chilean journal of agricultural & animal science. 0–0. 4 indexed citations
9.
Mora, Marco, J. Aliaga, & Claudio Fredes. (2017). Olive Ripening Phase Estimation based on Neural Networks. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 1 indexed citations
10.
Mora, Marco, et al.. (2015). A method to construct fruit maturity color scales based on support machines for regression: Application to olives and grape seeds. Journal of Food Engineering. 162. 9–17. 35 indexed citations
11.
Mora, Marco, et al.. (2014). Fruit Maturity Estimation based on Color Scales. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 2 indexed citations
12.
Fredes, Claudio, et al.. (2014). Soil mineral concentrations and soil microbial activity in grapevine inoculated with arbuscular mycorrhizal (AM) fungus in Chile. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. 56(5). 13–17.
13.
Mora, Marco, et al.. (2014). A method to estimate Grape Phenolic Maturity based on seed images. Computers and Electronics in Agriculture. 101. 76–83. 15 indexed citations
14.
Mora, Marco, et al.. (2014). Grape maturity estimation based on seed images and neural networks. Engineering Applications of Artificial Intelligence. 35. 95–104. 12 indexed citations
15.
Fredes, Claudio, et al.. (2014). Effect of the co-application of Promalin® at different bud phenological stages and notching at different distances on lateral branching of three sweet cherry cultivars (Prunus Avium L.) in central Chile. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. 58(2). 45–50. 2 indexed citations
16.
Fredes, Claudio, et al.. (2012). Potencial y Problemas de la Simulación en Ambientes Virtuales para el Aprendizaje. Formación universitaria. 5(1). 45–56. 17 indexed citations
17.
Fredes, Claudio, et al.. (2011). Effects on fruit production and quality of different dormant pruning intensities in 'Bing'/'Gisela®6' sweet cherries (Prunus avium) in Central Chile. Ciencia e investigación agraria. 38(3). 339–344. 9 indexed citations
18.
Fredes, Claudio, et al.. (2010). Vine balance: a study case in Carménère grapevines. Ciencia e investigación agraria. 37(1). 4 indexed citations
19.
Fredes, Claudio, et al.. (2010). Relation between Seed Appearance and Phenolic Maturity: A Case Study Using Grapes cv. Carménère. Chilean journal of agricultural research. 70(3). 18 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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