Raffaele Salerno
- Biochemistry top 5%
- Analytical Chemistry top 5%
- Dye analysis and toxicity 2
- Pharmacology top 10%
- Food Science top 10%
- Essential Oils and Antimicrobial Activity 3
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- Edible Oils Quality and Analysis 4
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- Meteorological Phenomena and Simulations 9
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- Climate variability and models 6
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- Plant biochemistry and biosynthesis 3
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- Irrigation Practices and Water Management 2
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- Soil Moisture and Remote Sensing 2
- Co-authors
- Fabio MazzottiLeonardo Di DonnaGiovanni SindonaAnna NapoliDomenico TavernaAlessandro CeppiManuela OliverioChiara Corbari
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of Agricultural and Food Chemistry (1 paper)Food Chemistry (1 paper)
In The Last Decade
Raffaele Salerno
23 papers receiving 648 citations
Peers
Comparison fields: 5 of 101
- Biochemistry 124
- Analytical Chemistry 94
- Pharmacology 95
- Food Science 96
- Organic Chemistry 125
Countries citing papers authored by Raffaele Salerno
This map shows the geographic impact of Raffaele Salerno'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 Raffaele Salerno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raffaele Salerno more than expected).
Fields of papers citing papers by Raffaele Salerno
This network shows the impact of papers produced by Raffaele Salerno. 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 Raffaele Salerno. The network helps show where Raffaele Salerno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raffaele Salerno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 7 | |
| 5 | SIM: smart irrigation from soil moisture forecast using satellite and hydro -meteorological modelling | 2019 | 1 |
| 6 | 2019 | 8 | |
| 7 | 2018 | 17 | |
| 8 | 2018 | 31 | |
| 9 | 2018 | 51 | |
| 10 | 2018 | 10 | |
| 11 | 2017 | 9 | |
| 12 | 2016 | 20 | |
| 13 | 2015 | 55 | |
| 14 | 2015 | 6 | |
| 15 | 2014 | 37 | |
| 16 | 2013 | 8 | |
| 17 | 2007 | 34 | |
| 18 | 2007 | 19 | |
| 19 | 2007 | 60 | |
| 20 | 2007 | 12 |
About Raffaele Salerno
Raffaele Salerno is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 27 papers that have together received 658 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (9 papers), Climate variability and models (6 papers), Edible Oils Quality and Analysis (4 papers), Plant biochemistry and biosynthesis (3 papers), Essential Oils and Antimicrobial Activity (3 papers), Irrigation Practices and Water Management (2 papers), Soil Moisture and Remote Sensing (2 papers) and Dye analysis and toxicity (2 papers). The work is most often cited by research in Biochemistry (124 citations), Analytical Chemistry (94 citations) and Pharmacology (95 citations). Raffaele Salerno has collaborated with scholars based in Italy, Belarus and France. Frequent co-authors include Fabio Mazzotti, Leonardo Di Donna, Giovanni Sindona, Anna Napoli, Domenico Taverna, Alessandro Ceppi, Manuela Oliverio, Chiara Corbari, Antonio Procopio and De Luca G. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Food Chemistry.
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.