Juan Gómez‐Sanchís

4.0k total citations · 2 hit papers
54 papers, 2.7k citations indexed

About

Juan Gómez‐Sanchís is a scholar working on Analytical Chemistry, Plant Science and Artificial Intelligence. According to data from OpenAlex, Juan Gómez‐Sanchís has authored 54 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Analytical Chemistry, 21 papers in Plant Science and 12 papers in Artificial Intelligence. Recurrent topics in Juan Gómez‐Sanchís's work include Spectroscopy and Chemometric Analyses (28 papers), Smart Agriculture and AI (13 papers) and Advanced Chemical Sensor Technologies (7 papers). Juan Gómez‐Sanchís is often cited by papers focused on Spectroscopy and Chemometric Analyses (28 papers), Smart Agriculture and AI (13 papers) and Advanced Chemical Sensor Technologies (7 papers). Juan Gómez‐Sanchís collaborates with scholars based in Spain, Germany and Italy. Juan Gómez‐Sanchís's co-authors include J. Blasco, Nuria Aleixos, Sergio Cubero, Enrique Moltó, D. Lorente, Emilio Soria‐Olivas, José D. Martín‐Guerrero, Oscar Leonardo García-Navarrete, Rafael Magdalena‐Benedito and Pablo Escandell-Montero and has published in prestigious journals such as Atmospheric Environment, Expert Systems with Applications and Journal of Food Engineering.

In The Last Decade

Juan Gómez‐Sanchís

50 papers receiving 2.6k citations

Hit Papers

align trajectories

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.

Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment

2011 413 citations Nuria Aleixos, Juan Gómez‐Sanchís et al. Food and Bioprocess Technology profile →
Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why

2025 19 citations Sandra Munera, Marcelino Martínez‐Sober et al. Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Juan Gómez‐Sanchís Spain	24	1.7k	1.1k	569	318	308	54	2.7k
Xiaohong Wu China	30	1.6k 0.9×	766 0.7×	731 1.3×	157 0.5×	269 0.9×	121	2.5k
Jun Sun China	36	2.1k 1.3×	991 0.9×	1.0k 1.8×	121 0.4×	360 1.2×	158	3.4k
Qibing Zhu China	28	1.5k 0.9×	1000 0.9×	569 1.0×	62 0.2×	306 1.0×	89	2.4k
Yuzhen Lu United States	27	1.2k 0.7×	1.3k 1.3×	474 0.8×	63 0.2×	176 0.6×	108	2.5k
Zhengjun Qiu China	28	1.2k 0.7×	852 0.8×	544 1.0×	79 0.2×	230 0.7×	79	2.3k
Puneet Mishra Netherlands	35	2.5k 1.5×	903 0.8×	893 1.6×	156 0.5×	473 1.5×	108	3.6k
Chunjiang Zhao China	25	1.5k 0.9×	774 0.7×	561 1.0×	45 0.1×	249 0.8×	76	2.2k
Sergio Cubero Spain	31	2.2k 1.3×	1.6k 1.5×	748 1.3×	42 0.1×	500 1.6×	61	3.2k
Nuria Aleixos Spain	35	2.7k 1.6×	2.0k 1.9×	882 1.6×	52 0.2×	508 1.6×	76	4.1k
Qingyan Wang China	25	819 0.5×	424 0.4×	409 0.7×	80 0.3×	146 0.5×	93	1.7k

Countries citing papers authored by Juan Gómez‐Sanchís

Since Specialization

Citations

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

Fields of papers citing papers by Juan Gómez‐Sanchís

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Gómez‐Sanchís. 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 Juan Gómez‐Sanchís. The network helps show where Juan Gómez‐Sanchís may publish in the future.

Co-authorship network of co-authors of Juan Gómez‐Sanchís

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Gómez‐Sanchís. A scholar is included among the top collaborators of Juan Gómez‐Sanchís 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 Juan Gómez‐Sanchís. Juan Gómez‐Sanchís 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

Gómez‐Sanchís, Juan, et al.. (2025). Raman spectroscopy for multi-label identification of common apple pesticide mixtures using CNNs and gradient-weighted class activation mapping. Food Control. 178. 111460–111460. 2 indexed citations

Martínez‐Sober, Marcelino, et al.. (2025). Machine learning for non-destructive nutrient diagnosis in citrus: comparing spectral analysis and hyperspectral imaging with CNNs. Expert Systems with Applications. 301. 130517–130517.

Munera, Sandra, et al.. (2025). Firmness classification in ‘Rojo Brillante’ persimmon fruit after cold storage using hyperspectral imaging and deep learning with variational autoencoders. LWT. 229. 118163–118163.

Munera, Sandra, et al.. (2025). Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why. Computers and Electronics in Agriculture. 230. 109938–109938. 19 indexed citations breakdown →

Mateo, Fernando, et al.. (2024). Convolutional neural networks to assess bergamot essential oil content in the field from smartphone images. Industrial Crops and Products. 220. 119233–119233. 3 indexed citations

Mateo, Fernando, et al.. (2021). Automatic mass spectra recognition for Ultra High Vacuum systems using multilabel classification. Expert Systems with Applications. 178. 114959–114959. 5 indexed citations

Mateo, Fernando, Emilio Soria‐Olivas, Marcelino Martínez‐Sober, et al.. (2016). Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data.. The European Symposium on Artificial Neural Networks. 1 indexed citations

Gómez‐Sanchís, Juan, et al.. (2014). Autovaccines for Chronic Urinary Tract Infections; Ten Years Follow-Up Experience. American Journal of Life Sciences. 2(6). 13.

García‐Gómez, Juan M., Juan Gómez‐Sanchís, Pablo Escandell-Montero, Elies Fuster‐García, & Emilio Soria‐Olivas. (2013). Sparse Manifold Clustering and Embedding to discriminate gene expression profiles of glioblastoma and meningioma tumors. Computers in Biology and Medicine. 43(11). 1863–1869. 4 indexed citations

10.

Martínez-Martínez, José M., Pablo Escandell-Montero, Emilio Soria‐Olivas, et al.. (2012). extended visualization method for classification trees.. The European Symposium on Artificial Neural Networks. 1 indexed citations

11.

Escandell-Montero, Pablo, et al.. (2011). Growing Hierarchical Sectors on Sectors. The European Symposium on Artificial Neural Networks. 2 indexed citations

12.

Martínez-Martínez, José M., Pablo Escandell-Montero, Emilio Soria‐Olivas, et al.. (2011). Sectors on sectors (SonS): A new hierarchical clustering visualization tool. 149. 304–309. 3 indexed citations

13.

Cattinelli, Isabella, Elena Bolzoni, C. Barbieri, et al.. (2011). Use of Self-Organizing Maps for Balanced Scorecard analysis to monitor the performance of dialysis clinic chains. Health Care Management Science. 15(1). 79–90. 17 indexed citations

14.

Blasco, J., et al.. (2010). Avances en visión artificial automática de productos hortofrutícolas. 48–50.

15.

Gómez‐Sanchís, Juan. (2010). Detección automática de podredumbres en cítricos mediante procesado avanzado de imágenes hiperespectrales. Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya). 1 indexed citations

16.

Cubero, Sergio, Nuria Aleixos, Enrique Moltó, Juan Gómez‐Sanchís, & J. Blasco. (2010). Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables. Food and Bioprocess Technology. 4(4). 487–504. 373 indexed citations

17.

Carrasco, Juan J., et al.. (2009). MATLAB‐based educational software for exploratory data analysis (EDA toolkit). Computer Applications in Engineering Education. 20(2). 313–320. 3 indexed citations

18.

Blasco, J., et al.. (2008). Sistemas de visión artificial para la inspección automática de fruta procesada. Aplicación a gajos de satsuma y arilos de granada. 13(391). 198–203. 2 indexed citations

19.

Blasco, J., Juan Gómez‐Sanchís, Abelardo Gutiérrez, et al.. (2008). Automatic sex detection of individuals of Ceratitis capitata by means of computer vision in a biofactory. Pest Management Science. 65(1). 99–104. 8 indexed citations

20.

Blasco, J., et al.. (2008). Short communication.Automatic inspection of the pomegranate (Punica granatum L.) arils quality by means of computer vision. Spanish Journal of Agricultural Research. 6(1). 12–16. 7 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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