Sandra Munera
Impact in
- Analytical Chemistry top 0.5%
- Spectroscopy and Chemometric Analyses
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
Papers in
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- Spectroscopy and Chemometric Analyses 21
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- Postharvest Quality and Shelf Life Management 7
- Co-authors
- J. Blasco (20 shared papers)Sergio Cubero (17 shared papers)Nuria Aleixos (15 shared papers)Ángel A. Carbonell‐Barrachina (9 shared papers)Pau Talens (7 shared papers)Francisca Hernández (5 shared papers)Francisco Burló (5 shared papers)José Manuel Amigo (4 shared papers)
In The Last Decade
Sandra Munera
30 papers receiving 868 citations
Sandra Munera's Hit Papers
Peers
Comparison fields: 5 of 81
- Analytical Chemistry 473
- Biochemistry 170
- Biophysics 65
- Industrial and Manufacturing Engineering 85
- Plant Science 332
Countries citing papers authored by Sandra Munera
This map shows the geographic impact of Sandra Munera'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 Sandra Munera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Munera more than expected).
Fields of papers citing papers by Sandra Munera
This network shows the impact of papers produced by Sandra Munera. 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 Sandra Munera. The network helps show where Sandra Munera may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandra Munera, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 68 | |
| 2 | 2016 | 64 | |
| 3 | 2020 | 60 | |
| 4 | 2016 | 55 | |
| 5 | 2014 | 53 | |
| 6 | 2013 | 47 | |
| 7 | 2013 | 45 | |
| 8 | 2019 | 43 | |
| 9 | 2017 | 42 | |
| 10 | 2017 | 40 | |
| 11 | 2014 | 38 | |
| 12 | 2013 | 35 | |
| 13 | Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why Hit paper breakdown → | 2025 | 35 |
| 14 | 2021 | 31 | |
| 15 | 2014 | 29 | |
| 16 | 2023 | 27 | |
| 17 | 2019 | 27 | |
| 18 | 2019 | 24 | |
| 19 | 2023 | 23 | |
| 20 | 2024 | 19 |
About Sandra Munera
Sandra Munera is a scholar working on Analytical Chemistry, Plant Science, Biochemistry, Industrial and Manufacturing Engineering and Pollution, having authored 31 papers that have together received 879 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (21 papers), Phytochemicals and Antioxidant Activities (11 papers), Postharvest Quality and Shelf Life Management (7 papers), Water Quality Monitoring and Analysis (4 papers), Pomegranate: compositions and health benefits (3 papers), Arsenic contamination and mitigation (3 papers), Heavy metals in environment (3 papers) and Advanced Chemical Sensor Technologies (3 papers). The work is most often cited by research in Analytical Chemistry (473 citations), Biochemistry (170 citations), Biophysics (65 citations), Industrial and Manufacturing Engineering (85 citations) and Plant Science (332 citations). Sandra Munera has collaborated with scholars based in Spain, Poland and Denmark. Frequent co-authors include J. Blasco, Sergio Cubero, Nuria Aleixos, Ángel A. Carbonell‐Barrachina, Pau Talens, Francisca Hernández, Francisco Burló, José Manuel Amigo, Juan Gómez‐Sanchís and Cristina Besada. Their work appears in journals such as Postharvest Biology and Technology, Journal of Food Engineering, LWT, Food Control and Journal of Food Science.
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.