Mauro Mecozzi

1.9k total citations
69 papers, 1.5k citations indexed

About

Mauro Mecozzi is a scholar working on Analytical Chemistry, Industrial and Manufacturing Engineering and Ecology. According to data from OpenAlex, Mauro Mecozzi has authored 69 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Analytical Chemistry, 17 papers in Industrial and Manufacturing Engineering and 15 papers in Ecology. Recurrent topics in Mauro Mecozzi's work include Spectroscopy and Chemometric Analyses (25 papers), Water Quality Monitoring and Analysis (14 papers) and Isotope Analysis in Ecology (12 papers). Mauro Mecozzi is often cited by papers focused on Spectroscopy and Chemometric Analyses (25 papers), Water Quality Monitoring and Analysis (14 papers) and Isotope Analysis in Ecology (12 papers). Mauro Mecozzi collaborates with scholars based in Italy, Russia and Germany. Mauro Mecozzi's co-authors include Marco Pietroletti, Eva Pietrantonio, Marcelo Enrique Conti, Rita Acquistucci, Yulia B. Monakhova, Elena Sturchio, Vito Di Noto, Fulvio Onorati, Michele Scarpiniti and Giulia Romanelli and has published in prestigious journals such as The Science of The Total Environment, Chemosphere and The Journal of Organic Chemistry.

In The Last Decade

Mauro Mecozzi

68 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mauro Mecozzi Italy 21 365 263 258 246 239 69 1.5k
Robert Helleur Canada 27 179 0.5× 205 0.8× 158 0.6× 556 2.3× 144 0.6× 67 2.0k
Enrique Torres Spain 23 444 1.2× 97 0.4× 155 0.6× 174 0.7× 209 0.9× 50 1.9k
Marco Pietroletti Italy 19 461 1.3× 189 0.7× 360 1.4× 170 0.7× 118 0.5× 53 1.5k
Levent Çavaş Türkiye 19 137 0.4× 196 0.7× 176 0.7× 146 0.6× 149 0.6× 75 1.6k
Inga Zinicovscaia Russia 23 469 1.3× 167 0.6× 134 0.5× 223 0.9× 86 0.4× 233 1.9k
George Pilidis Greece 20 403 1.1× 267 1.0× 189 0.7× 129 0.5× 79 0.3× 30 1.4k
Н. А. Куликова Russia 20 304 0.8× 86 0.3× 116 0.4× 160 0.7× 143 0.6× 67 1.3k
Thomas E. Clevenger United States 22 269 0.7× 96 0.4× 160 0.6× 243 1.0× 152 0.6× 56 1.6k
Andrew P. Dean United Kingdom 24 259 0.7× 84 0.3× 267 1.0× 663 2.7× 223 0.9× 42 2.9k
Fanping Meng China 22 639 1.8× 83 0.3× 177 0.7× 186 0.8× 96 0.4× 81 1.6k

Countries citing papers authored by Mauro Mecozzi

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Mecozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Mecozzi

This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Mecozzi. A scholar is included among the top collaborators of Mauro Mecozzi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mauro Mecozzi. Mauro Mecozzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Acquistucci, Rita, et al.. (2019). Effect of different leavening agents on the nutritional characteristics of two durum wheat breads. European Food Research and Technology. 245(10). 2173–2181. 5 indexed citations
4.
Sturchio, Elena, et al.. (2016). Molecular and structural changes induced by essential oils treatments inVicia fabaroots detected by genotoxicity testing. Journal of Toxicology and Environmental Health. 79(4). 143–152. 7 indexed citations
5.
Mecozzi, Mauro & Elena Sturchio. (2014). Effects of essential oil treatments on the secondary protein structure of Vicia faba: A mid-infrared spectroscopic study supported by two-dimensional correlation analysis. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 137. 90–98. 24 indexed citations
6.
Sturchio, Elena, et al.. (2013). Evaluation of arsenic effects in Vicia faba by FTIR and FTNIR spectroscopy. Global NEST Journal. 14(1). 86–92. 5 indexed citations
7.
Mecozzi, Mauro, et al.. (2013). Applications of FTIR spectroscopy in environmental studies supported by two dimensional correlation analysis. Global NEST Journal. 11(4). 593–600. 2 indexed citations
8.
Mecozzi, Mauro, et al.. (2013). Molecular Modifications Induced by Inorganic Arsenic in Vicia faba Investigated by FTIR, FTNIR Spectroscopy and Genotoxicity Testing. Journal of Toxicology and Environmental Health. 76(4-5). 281–290. 7 indexed citations
9.
Mecozzi, Mauro & Michele Scarpiniti. (2013). An Empirical and Semi Blind Algorithm for Resolving Overlapped Peaks in Chromatography: Application to the Analysis of Environmental Samples. APCBEE Procedia. 5. 145–151. 6 indexed citations
11.
Pietroletti, Marco, et al.. (2010). Preliminary evaluation of hydrocarbon removal power of Caulerpa racemosa in seawater by means of infrared and visible spectroscopic measurements. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 77(3). 673–679. 18 indexed citations
12.
Conti, Marcelo Enrique, Beatrice Bocca, Marta Iacobucci, et al.. (2009). Baseline Trace Metals in Seagrass, Algae, and Mollusks in a Southern Tyrrhenian Ecosystem (Linosa Island, Sicily). Archives of Environmental Contamination and Toxicology. 58(1). 79–95. 58 indexed citations
13.
Mecozzi, Mauro, Marco Pietroletti, & Marcelo Enrique Conti. (2008). The investigation of compositional and structural characteristics of natural marine organic matter: a review. International Journal of Environment and Pollution. 32(4). 527–527. 10 indexed citations
14.
Conti, Marcelo Enrique, Marta Iacobucci, Domenico Cucina, & Mauro Mecozzi. (2007). Multivariate statistical methods applied to biomonitoring studies. International Journal of Environment and Pollution. 29(1/2/3). 333–333. 27 indexed citations
15.
Conti, Marcelo Enrique, et al.. (2005). Uncertainty in environmental analysis: theory and laboratory studies. International Journal of Risk Assessment and Management. 5(2/3/4). 311–311. 8 indexed citations
16.
Mecozzi, Mauro. (2005). Estimation of total carbohydrate amount in environmental samples by the phenol–sulphuric acid method assisted by multivariate calibration. Chemometrics and Intelligent Laboratory Systems. 79(1-2). 84–90. 146 indexed citations
17.
Pavoni, Bruno, et al.. (2003). Micropollutants, organic carbon and textural properties in surface sediments in the Maroccan coast near Al Hoceïma. Toxicological & Environmental Chemistry Reviews. 53–67. 2 indexed citations
18.
Mecozzi, Mauro, et al.. (1999). Ultrasound-assisted analysis of total carbohydrates in environmental and food samples. Ultrasonics Sonochemistry. 6(3). 133–139. 21 indexed citations
19.
Ausili, Antonella, et al.. (1998). Physico chemical characteristics and multivariate analysis of contaminated harbour sediments. Water Science & Technology. 37(6-7). 131–139. 6 indexed citations
20.
Mecozzi, Mauro. (1997). A software program based on robust linear regression methods for instrumental calibration in biochemical analysis. Computer Methods and Programs in Biomedicine. 53(1). 27–32. 2 indexed citations

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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