Marco Nocita
- Environmental Engineering top 1%
- Soil Geostatistics and Mapping 8
- Soil Moisture and Remote Sensing 1
- Analytical Chemistry top 1%
- Soil Science top 5%
- Soil Carbon and Nitrogen Dynamics 3
- Artificial Intelligence top 2%
- Geochemistry and Geologic Mapping 7
- Ecology top 10%
- Remote Sensing in Agriculture 2
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- Soil and Land Suitability Analysis 1
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- Mineral Processing and Grinding 1
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- Water Quality Monitoring and Analysis 1
In The Last Decade
Marco Nocita
12 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Environmental Engineering 876
- Analytical Chemistry 322
- Soil Science 254
- Artificial Intelligence 580
- Ecology 246
Countries citing papers authored by Marco Nocita
This map shows the geographic impact of Marco Nocita'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 Marco Nocita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Nocita more than expected).
Fields of papers citing papers by Marco Nocita
This network shows the impact of papers produced by Marco Nocita. 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 Marco Nocita. The network helps show where Marco Nocita may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marco Nocita, 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 | 2018 | 23 | |
| 2 | 2015 | 13 | |
| 3 | Plan of Action for Pillar Five of the Global Soil Partnership: Harmonization of methods, measurements and indicators for the sustainable management and protection of soil resources. | 2014 | 5 |
| 4 | The contribution of diffuse reflectance spectroscopy to soil organic carbon analysis : from laboratory to airborne spectroscopy | 2014 | 1 |
| 5 | 2013 | 90 | |
| 6 | Prediction of Soil Organic Carbon at the European Scale by Visible and Near InfraRed Reflectance Spectroscopybreakdown → | 2013 | 334 |
| 7 | 2013 | 252 | |
| 8 | Prediction of SOC content by Vis-NIR spectroscopy at European scale using a modified local PLS algorithm | 2012 | 1 |
| 9 | 2012 | 251 | |
| 10 | 2011 | 55 | |
| 11 | Improving spectral techniques to determine soil organic carbon by accounting for soil moisture effects. | 2011 | 3 |
| 12 | Soil spectroscopy as a tool to assess organic carbon, iron oxides, and clay content in the subtropical thicket biome of Eastern Cape Province of South Africa | 2009 | 1 |
About Marco Nocita
Marco Nocita is a scholar working on Environmental Engineering, Soil Science, Artificial Intelligence, Industrial and Manufacturing Engineering and Analytical Chemistry, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (8 papers), Geochemistry and Geologic Mapping (7 papers), Soil Carbon and Nitrogen Dynamics (3 papers), Remote Sensing in Agriculture (2 papers), Soil and Land Suitability Analysis (1 paper), Soil Moisture and Remote Sensing (1 paper), Mineral Processing and Grinding (1 paper) and Water Quality Monitoring and Analysis (1 paper). The work is most often cited by research in Environmental Engineering (876 citations), Analytical Chemistry (322 citations), Soil Science (254 citations), Artificial Intelligence (580 citations) and Ecology (246 citations). Marco Nocita has collaborated with scholars based in Belgium, Italy and Germany. Frequent co-authors include Antoine Stevens, Bas van Wesemael, Luca Montanarella, Gergely Tóth, Panos Panagos, Lammert Kooistra, Martin Bachmann, Andreas Müller, Ciro Gardi and Cristiano Ballabio. Their work appears in journals such as Geoderma, Soil Biology and Biochemistry, PLoS ONE, AGU Fall Meeting Abstracts and Socio-Environmental Systems Modeling.
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.