Sandra Munera
Impact in
- Analytical Chemistry top 0.5%
- Spectroscopy and Chemometric Analyses
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
Papers in
-
- Spectroscopy and Chemometric Analyses 22
- Biochemistry 11
- Phytochemicals and Antioxidant Activities 11
- Co-authors
- J. Blasco (21 shared papers)Sergio Cubero (18 shared papers)Nuria Aleixos (16 shared papers)Ángel Antonio Carbonell-Barrachina (10 shared papers)Pau Talens (7 shared papers)Francisca Hernández (5 shared papers)José Manuel Amigo (4 shared papers)Francisco Burló (6 shared papers)
In The Last Decade
Sandra Munera
33 papers receiving 962 citations
Sandra Munera's Hit Papers
Peers
Comparison fields: 5 of 82
- Analytical Chemistry 520
- Biochemistry 175
- Biophysics 80
- Waste Management and Disposal 91
- Plant Science 351
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 81 | |
| 2 | 2016 | 69 | |
| 3 | 2020 | 61 | |
| 4 | 2016 | 58 | |
| 5 | 2014 | 56 | |
| 6 | 2013 | 50 | |
| 7 | 2017 | 47 | |
| 8 | 2019 | 47 | |
| 9 | 2017 | 46 | |
| 10 | 2013 | 46 | |
| 11 | Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why Hit paper breakdown → | 2025 | 42 |
| 12 | 2014 | 42 | |
| 13 | 2013 | 36 | |
| 14 | 2021 | 33 | |
| 15 | 2023 | 32 | |
| 16 | 2019 | 31 | |
| 17 | 2014 | 30 | |
| 18 | 2019 | 27 | |
| 19 | 2023 | 24 | |
| 20 | 2024 | 21 |
About Sandra Munera
Sandra Munera is a scholar working on Analytical Chemistry, Biochemistry, Plant Science, Waste Management and Disposal and Environmental Chemistry, having authored 33 papers that have together received 980 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (22 papers), Phytochemicals and Antioxidant Activities (11 papers), Postharvest Quality and Shelf Life Management (7 papers), Advanced Chemical Sensor Technologies (4 papers), Water Quality Monitoring and Analysis (4 papers), Arsenic contamination and mitigation (4 papers), Aluminum toxicity and tolerance in plants and animals (3 papers) and Heavy metals in environment (3 papers). The work is most often cited by research in Analytical Chemistry (520 citations), Biochemistry (175 citations), Biophysics (80 citations), Waste Management and Disposal (91 citations) and Plant Science (351 citations). Sandra Munera has collaborated with scholars based in Spain, Poland and Denmark. Frequent co-authors include J. Blasco, Sergio Cubero, Nuria Aleixos, Ángel Antonio Carbonell-Barrachina, Pau Talens, Francisca Hernández, José Manuel Amigo, Francisco Burló, Juan Gómez‐Sanchís and Cristina Besada. Their work appears in journals such as Postharvest Biology and Technology, LWT, Journal of Food Engineering, Journal of Food Science 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.