Aurelio Facchinelli

10 papers receiving 1.3k citations

Aurelio Facchinelli's Hit Papers

Multivariate statistical and GIS-based approach to identify heavy metal sources in soils 2001 · 1.2k citations
1.2k0+8+16Years since publication4008001.2k

Peers

Aurelio Facchinelli
Comparison fields: 5 of 76
  • Pollution 1.0k
  • Radiological and Ultrasound Technology 413
  • Health, Toxicology and Mutagenesis 303
  • Geochemistry and Petrology 120
  • Artificial Intelligence 621
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L. Recatalá Spain
Cao Junji China
Ryszard Mazurek Poland
Ghada M. S. Abrahim New Zealand
Mattia Biasioli Italy
Oddvar Røyset Norway
Joanna Beata Kowalska Poland
P. K. Govil India
Jianshu Lv China
Denis Baize France
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Citations per year

Countries citing papers authored by Aurelio Facchinelli

Since Specialization
Citations

This map shows the geographic impact of Aurelio Facchinelli'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 Aurelio Facchinelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurelio Facchinelli more than expected).

Fields of papers citing papers by Aurelio Facchinelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aurelio Facchinelli. 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 Aurelio Facchinelli. The network helps show where Aurelio Facchinelli may publish in the future.

Co-authors

The 9 scholars most cited alongside Aurelio Facchinelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aurelio Facchinelli Line = papers co-authored together Aurelio Facchinelli links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Multivariate statistical and GIS-based approach to identify heavy metal sources in soils
Hit paper breakdown →
20011227
2 200723
3 200119
4 199316
5 200215
6 20018
7 19728
8 19826
9 20092
10
Factors controlling the mobility of radiocesium in soils .1. soil properties and mineralogy
19951
11 19741

About Aurelio Facchinelli

Aurelio Facchinelli is a scholar working on Pollution, Global and Planetary Change, Radiological and Ultrasound Technology, Safety, Risk, Reliability and Quality and Inorganic Chemistry, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radioactive contamination and transfer (4 papers), Heavy metals in environment (4 papers), Nuclear and radioactivity studies (3 papers), Radioactivity and Radon Measurements (3 papers), Radioactive element chemistry and processing (2 papers), Aluminum toxicity and tolerance in plants and animals (1 paper), Horticultural and Viticultural Research (1 paper) and Geochemistry and Geologic Mapping (1 paper). The work is most often cited by research in Pollution (1.0k citations), Radiological and Ultrasound Technology (413 citations), Health, Toxicology and Mutagenesis (303 citations), Geochemistry and Petrology (120 citations) and Artificial Intelligence (621 citations). Aurelio Facchinelli has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Elisa Sacchi, E. Bruno, R. Ropolo, G.C. Bonazzola, Andrew Hursthouse, Eleonora Bonifacio, Elisabetta Barberis, Domenico Antonio De Luca and Piera Benna. Their work appears in journals such as Water Air & Soil Pollution, Journal of Environmental Radioactivity, Health Physics, Environmental Geochemistry and Health and Environmental Pollution.

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.

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