Fernando Mateo

1.6k total citations
52 papers, 1.1k citations indexed

About

Fernando Mateo is a scholar working on Plant Science, Artificial Intelligence and Food Science. According to data from OpenAlex, Fernando Mateo has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 12 papers in Artificial Intelligence and 11 papers in Food Science. Recurrent topics in Fernando Mateo's work include Mycotoxins in Agriculture and Food (19 papers), Plant Pathogens and Fungal Diseases (9 papers) and Radiation Detection and Scintillator Technologies (8 papers). Fernando Mateo is often cited by papers focused on Mycotoxins in Agriculture and Food (19 papers), Plant Pathogens and Fungal Diseases (9 papers) and Radiation Detection and Scintillator Technologies (8 papers). Fernando Mateo collaborates with scholars based in Spain, United States and Switzerland. Fernando Mateo's co-authors include Misericordia Jiménez, Eva M. Mateo, Ángel Medina, R. Mateo, Andrea Tarazona, F.M. Valle-Algarra, José V. Gómez, Valero Laparra, José Gómez‐Dans and Jochem Verrelst and has published in prestigious journals such as Scientific Reports, Journal of Chromatography A and Expert Systems with Applications.

In The Last Decade

Fernando Mateo

50 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fernando Mateo Spain	20	568	195	143	123	96	52	1.1k
Knut Kvaal Norway	22	148 0.3×	131 0.7×	11 0.1×	80 0.7×	268 2.8×	50	1.3k
Daniel E. Guyer United States	26	1.1k 1.9×	291 1.5×	70 0.5×	147 1.2×	1.2k 12.0×	63	2.0k
Jinglu Tan United States	19	390 0.7×	101 0.5×	16 0.1×	64 0.5×	138 1.4×	68	1.3k
Yuzhen Lu United States	27	1.3k 2.3×	176 0.9×	75 0.5×	331 2.7×	1.2k 12.0×	108	2.5k
Jingzhu Wu China	16	740 1.3×	143 0.7×	37 0.3×	162 1.3×	689 7.2×	40	1.6k
J.M. Prats-Montalbán Spain	19	281 0.5×	116 0.6×	24 0.2×	52 0.4×	531 5.5×	55	1.1k
Junfeng Gao China	20	868 1.5×	79 0.4×	31 0.2×	323 2.6×	357 3.7×	65	1.6k
Young Chang Canada	18	768 1.4×	88 0.5×	89 0.6×	220 1.8×	240 2.5×	51	1.1k
Chunjiang Zhao China	25	774 1.4×	249 1.3×	44 0.3×	156 1.3×	1.5k 15.3×	76	2.2k
Ahmad Al-Mallahi Canada	12	630 1.1×	169 0.9×	35 0.2×	102 0.8×	224 2.3×	26	1.1k

Countries citing papers authored by Fernando Mateo

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Mateo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Mateo

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Mateo. A scholar is included among the top collaborators of Fernando Mateo 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 Fernando Mateo. Fernando Mateo 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

Safari, Saeed, et al.. (2025). Temporal single spike coding for effective transfer learning in spiking neural networks. Scientific Reports. 15(1). 34094–34094.

Mateo, Fernando, Andrea Tarazona, Rafael Gavara, & Eva M. Mateo. (2025). Bioactive films with essential oils and machine learning for controlling Aspergillus niger growth and fumonisin B2 production in vitro. International Journal of Food Microbiology. 439. 111251–111251. 1 indexed citations

Mateo, Eva M., Fernando Mateo, Andrea Tarazona, & Misericordia Jiménez. (2025). Engineered Metal Nanoparticles: A Possible Small Solution to Big Problems Associated with Toxigenic Fungi and Mycotoxins. Toxins. 17(8). 378–378.

Vila‐Francés, Joan, et al.. (2024). Multimodal Video Analysis for Crowd Anomaly Detection Using Open Access Tourism Cameras. Applied Sciences. 14(23). 11075–11075. 2 indexed citations

Mateo, Eva M., Andrea Tarazona, Misericordia Jiménez, & Fernando Mateo. (2022). Lactic Acid Bacteria as Potential Agents for Biocontrol of Aflatoxigenic and Ochratoxigenic Fungi. Toxins. 14(11). 807–807. 19 indexed citations

Urueña, Alberto, et al.. (2021). Analysis of the Pre and Post-COVID-19 Lockdown Use of Smartphone Apps in Spain. Applied Sciences. 11(13). 5807–5807. 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

Tarazona, Andrea, Eva M. Mateo, José V. Gómez, et al.. (2020). Machine learning approach for predicting Fusarium culmorum and F. proliferatum growth and mycotoxin production in treatments with ethylene-vinyl alcohol copolymer films containing pure components of essential oils. International Journal of Food Microbiology. 338. 109012–109012. 25 indexed citations

Tarazona, Andrea, José V. Gómez, Eva M. Mateo, Misericordia Jiménez, & Fernando Mateo. (2019). Antifungal effect of engineered silver nanoparticles on phytopathogenic and toxigenic Fusarium spp. and their impact on mycotoxin accumulation. International Journal of Food Microbiology. 306. 108259–108259. 29 indexed citations

10.

Tarazona, Andrea, et al.. (2019). Potential use of machine learning methods in assessment of Fusarium culmorum and Fusarium proliferatum growth and mycotoxin production in treatments with antifungal agents. Fungal Biology. 125(2). 123–133. 15 indexed citations

11.

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

12.

Camps‐Valls, Gustau, Jochem Verrelst, Jordi Muñoz-Marı́, et al.. (2016). A Survey on Gaussian Processes for Earth-Observation Data Analysis: A Comprehensive Investigation. IEEE Geoscience and Remote Sensing Magazine. 4(2). 58–78. 184 indexed citations

13.

Mateo, Fernando, et al.. (2013). Temperature Forecast in Buildings Using Machine Learning Techniques.. The European Symposium on Artificial Neural Networks. 3 indexed citations

14.

Mateo, Fernando, Rafael Gadea Gironés, Ángel Medina, R. Mateo, & Misericordia Jiménez. (2009). Predictive assessment of ochratoxin A accumulation in grape juice based-medium byAspergillus carbonariususing neural networks. Journal of Applied Microbiology. 107(3). 915–927. 28 indexed citations

15.

Valle-Algarra, F.M., Eva M. Mateo, Ángel Medina, et al.. (2009). Changes in ochratoxin A and type B trichothecenes contained in wheat flour during dough fermentation and bread-baking. Food Additives & Contaminants Part A. 26(6). 896–906. 67 indexed citations

16.

Monzó, José M., Christoph Lerche, Jorge D. Martínez, et al.. (2009). Analysis of time resolution in a dual head LSO+PSPMT PET system using low pass filter interpolation and digital constant fraction discriminator techniques. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 604(1-2). 347–350. 7 indexed citations

17.

Lerche, Christoph, A. Ros, V. Herrero, et al.. (2008). Depth of interaction detection for -ray imaging. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 600(3). 624–634. 32 indexed citations

18.

Mateo, R., Ángel Medina, Eva M. Mateo, Fernando Mateo, & Misericordia Jiménez. (2007). An overview of ochratoxin A in beer and wine. International Journal of Food Microbiology. 119(1-2). 79–83. 139 indexed citations

19.

Medina, Ángel, F.M. Valle-Algarra, José Vicente Gimeno-Adelantado, et al.. (2006). New method for determination of ochratoxin A in beer using zinc acetate and solid-phase extraction silica cartridges. Journal of Chromatography A. 1121(2). 178–183. 29 indexed citations

20.

Medina, Ángel, F.M. Valle-Algarra, R. Mateo, et al.. (2006). Survey of the mycobiota of Spanish malting barley and evaluation of the mycotoxin producing potential of species of Alternaria, Aspergillus and Fusarium. International Journal of Food Microbiology. 108(2). 196–203. 81 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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