Fernando Mateo
Impact in
- Plant Science top 5%
- Mycotoxins in Agriculture and Food
- Wheat and Barley Genetics and Pathology
- Food Science top 5%
Papers in
-
- Mycotoxins in Agriculture and Food 19
- Wheat and Barley Genetics and Pathology 4
-
- Neural Networks and Applications 4
- Co-authors
- Misericordia Jiménez (17 shared papers)Eva M. Mateo (18 shared papers)Ángel Medina (8 shared papers)Andrea Tarazona (13 shared papers)R. Mateo (6 shared papers)F.M. Valle-Algarra (6 shared papers)José V. Gómez (7 shared papers)José Gómez‐Dans (1 shared paper)
- Journals
- International Journal of Food Microbiology (6 papers)Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (6 papers)Toxins (5 papers)Applied Sciences (4 papers)Food Control (4 papers)
- Partner nations
- SpainSwitzerlandUnited States
In The Last Decade
Fernando Mateo
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 139
- Plant Science 574
- Food Science 192
- Analytical Chemistry 95
- Radiation 80
- Cell Biology 138
Countries citing papers authored by Fernando Mateo
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
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-authors
The 25 scholars most cited alongside Fernando Mateo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 189 | |
| 2 | 2007 | 139 | |
| 3 | 2006 | 82 | |
| 4 | 2009 | 67 | |
| 5 | 2012 | 58 | |
| 6 | 2020 | 51 | |
| 7 | 2022 | 42 | |
| 8 | 2009 | 40 | |
| 9 | 2010 | 40 | |
| 10 | 2008 | 32 | |
| 11 | 2019 | 31 | |
| 12 | 2019 | 30 | |
| 13 | 2006 | 29 | |
| 14 | 2009 | 27 | |
| 15 | 2020 | 26 | |
| 16 | 2021 | 26 | |
| 17 | 2021 | 24 | |
| 18 | 2018 | 24 | |
| 19 | 2009 | 22 | |
| 20 | 2008 | 21 |
About Fernando Mateo
Fernando Mateo is a scholar working on Plant Science, Artificial Intelligence, Food Science, Cell Biology and Radiation, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (19 papers), Plant Pathogens and Fungal Diseases (9 papers), Radiation Detection and Scintillator Technologies (8 papers), Medical Imaging Techniques and Applications (6 papers), Essential Oils and Antimicrobial Activity (5 papers), Neural Networks and Applications (4 papers), Wheat and Barley Genetics and Pathology (4 papers) and Particle Detector Development and Performance (4 papers). The work is most often cited by research in Plant Science (574 citations), Food Science (192 citations), Analytical Chemistry (95 citations), Radiation (80 citations) and Cell Biology (138 citations). Fernando Mateo has collaborated with scholars based in Spain, Switzerland and United States. Frequent co-authors include Misericordia Jiménez, Eva M. Mateo, Ángel Medina, Andrea Tarazona, R. Mateo, F.M. Valle-Algarra, José V. Gómez, José Gómez‐Dans, Jordi Muñoz-Marı́ and Jochem Verrelst. Their work appears in journals such as International Journal of Food Microbiology, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Toxins, Applied Sciences and Food Control.
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.