D. Lorente

1.5k citations

15 papers · 1.2k indexed · 1 hit paper · h-index 13

Impact in

Analytical Chemistry top 0.2%
- Spectroscopy and Chemometric Analyses
Biophysics top 2%
- Spectroscopy Techniques in Biomedical and Chemical Research

Papers in ⓘ

Analytical Chemistry 10
- Spectroscopy and Chemometric Analyses 10
Radiation 2
- Advanced Radiotherapy Techniques 2

Co-authors: J. Blasco (10 shared papers)Juan Gómez‐Sanchís (9 shared papers)Sergio Cubero (6 shared papers)Nuria Aleixos (6 shared papers)Oscar Leonardo García-Navarrete (1 shared paper)Pablo Escandell-Montero (4 shared papers)Emilio Soria‐Olivas (4 shared papers)Antonio J. Serrano-López (4 shared papers)
Journals: Food and Bioprocess Technology (4 papers)Journal of Food Engineering (2 papers)Postharvest Biology and Technology (2 papers)Computers in Biology and Medicine (1 paper)Biosystems Engineering (1 paper)
Partner nations: Spain Germany Mexico

In The Last Decade

D. Lorente

15 papers receiving 1.1k citations

Hit Papers

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Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment 2011 · 413 citations

Peers

Countries citing papers authored by D. Lorente

Since Specialization

Citations

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

Fields of papers citing papers by D. Lorente

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. Lorente, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Lorente Line = papers co-authored together D. Lorente links everyone, so they are left out of the graph.

All Works

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15 of 15 papers shown

#	Work
1	Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment Food and Bioprocess Technology ·D. Lorente, Nuria Aleixos, Juan Gómez‐Sanchís, Sergio Cubero, Oscar Leonardo García-Navarrete, J. Blasco Hit paper breakdown →	2011	413
2	Early detection of mechanical damage in mango using NIR hyperspectral images and machine learning Biosystems Engineering ·Nayeli Vélez Rivera, Juan Gómez‐Sanchís, José Jorge Chanona‐Pérez, Juan J. Carrasco, Mónica Millán-Giraldo, D. Lorente, Sergio Cubero, J. Blasco	2014	130
3	Selection of Optimal Wavelength Features for Decay Detection in Citrus Fruit Using the ROC Curve and Neural Networks Food and Bioprocess Technology ·D. Lorente, Nuria Aleixos, Juan Gómez‐Sanchís, Sergio Cubero, J. Blasco	2011	114
4	A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time Computers in Biology and Medicine ·Francisco Martínez‐Martínez, María José Rupérez, Marcelino Martínez‐Sober, J. A. Solves‐Llorens, D. Lorente, Antonio J. Serrano-López, S. Martínez-Sanchis, C. Monserrat, José D. Martín‐Guerrero	2017	80
5	Visible–NIR reflectance spectroscopy and manifold learning methods applied to the detection of fungal infections on citrus fruit Journal of Food Engineering ·D. Lorente, Pablo Escandell-Montero, Sergio Cubero, Juan Gómez‐Sanchís, J. Blasco	2015	71
6	Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear classifiers Postharvest Biology and Technology ·Juan Gómez‐Sanchís, J. Blasco, Emilio Soria‐Olivas, D. Lorente, Pablo Escandell-Montero, José M. Martínez-Martínez, Marcelino Martínez‐Sober, Nuria Aleixos	2013	63
7	Laser-light backscattering imaging for early decay detection in citrus fruit using both a statistical and a physical model Journal of Food Engineering ·D. Lorente, Manuela Zude-Sasse, C. Idler, Juan Gómez‐Sanchís, J. Blasco	2015	62
8	Early decay detection in citrus fruit using laser-light backscattering imaging Postharvest Biology and Technology ·D. Lorente, Manuela Zude-Sasse, Christian Regen, Lluı́s Palou, Juan Gómez‐Sanchís, J. Blasco	2013	62
9	Comparison of ROC Feature Selection Method for the Detection of Decay in Citrus Fruit Using Hyperspectral Images Food and Bioprocess Technology ·D. Lorente, J. Blasco, Antonio J. Serrano-López, Emilio Soria‐Olivas, Nuria Aleixos, Juan Gómez‐Sanchís	2012	56
10	Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay Food and Bioprocess Technology ·Juan Gómez‐Sanchís, D. Lorente, Emilio Soria‐Olivas, Nuria Aleixos, Sergio Cubero, J. Blasco	2013	46
11	A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning Expert Systems with Applications ·D. Lorente, Francisco Martínez‐Martínez, María José Rupérez, Miguel A. Lago, Marcelino Martínez‐Sober, Pablo Escandell-Montero, José M. Martínez-Martínez, S. Martínez-Sanchis, Antonio J. Serrano-López, C. Monserrat, José D. Martín‐Guerrero	2016	40
12	Investigation of continental aerosols with high-spectral-resolution solar-extinction measurements Applied Optics ·F.J. Ahern, Robert P. Gauthier, Phil M. Teillet, Jean Sirois, G. Fedosejevs, D. Lorente	1991	29
13	Machine Learning for Modeling the Biomechanical Behavior of Human Soft Tissue José D. Martín‐Guerrero, María José Rupérez, Francisco Martínez‐Martínez, D. Lorente, Antonio J. Serrano-López, C. Monserrat, S. Martínez-Sanchis, Marcelino Martínez‐Sober	2016	12
14	Application of near Infrared Spectroscopy to the Quality Control of Citrus Fruits and Mango NIR news ·J. Blasco, D. Lorente, Victoria Cortés, Pau Talens, Sergio Cubero, Sandra Munera, Nuria Aleixos	2016	9
15	Online fitted policy iteration based on extreme learning machines Knowledge-Based Systems ·Pablo Escandell-Montero, D. Lorente, José M. Martínez-Martínez, Emilio Soria‐Olivas, Joan Vila‐Francés, José D. Martín‐Guerrero	2016	9

About D. Lorente

D. Lorente is a scholar working on Analytical Chemistry, Radiation, Industrial and Manufacturing Engineering, Plant Science and Biophysics, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (10 papers), Advanced Chemical Sensor Technologies (4 papers), Smart Agriculture and AI (4 papers), Essential Oils and Antimicrobial Activity (3 papers), Advanced Radiotherapy Techniques (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Date Palm Research Studies (2 papers) and Elasticity and Material Modeling (2 papers). The work is most often cited by research in Analytical Chemistry (845 citations), Biophysics (166 citations), Biochemistry (75 citations), Industrial and Manufacturing Engineering (105 citations) and Animal Science and Zoology (121 citations). D. Lorente has collaborated with scholars based in Spain, Germany and Mexico. Frequent co-authors include J. Blasco, Juan Gómez‐Sanchís, Sergio Cubero, Nuria Aleixos, Oscar Leonardo García-Navarrete, Pablo Escandell-Montero, Emilio Soria‐Olivas, Antonio J. Serrano-López, Manuela Zude-Sasse and Marcelino Martínez‐Sober. Their work appears in journals such as Food and Bioprocess Technology, Journal of Food Engineering, Postharvest Biology and Technology, Computers in Biology and Medicine and Biosystems Engineering.

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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