Riccardo Leardi

8.8k total citations · 4 hit papers
126 papers, 7.1k citations indexed

About

Riccardo Leardi is a scholar working on Analytical Chemistry, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, Riccardo Leardi has authored 126 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Analytical Chemistry, 24 papers in Biomedical Engineering and 23 papers in Spectroscopy. Recurrent topics in Riccardo Leardi's work include Spectroscopy and Chemometric Analyses (44 papers), Analytical Chemistry and Chromatography (23 papers) and Advanced Chemical Sensor Technologies (19 papers). Riccardo Leardi is often cited by papers focused on Spectroscopy and Chemometric Analyses (44 papers), Analytical Chemistry and Chromatography (23 papers) and Advanced Chemical Sensor Technologies (19 papers). Riccardo Leardi collaborates with scholars based in Italy, Spain and Iran. Riccardo Leardi's co-authors include Raffaella Boggia, Lars Nørgaard, Carla Armanino, Mario Marchi, M Raiteri, Silvia Lanteri, Randy J. Pell, Mary Beth Seasholtz, Michele Forina and Onno E. de Noord and has published in prestigious journals such as Chemistry of Materials, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Riccardo Leardi

125 papers receiving 6.9k citations

Hit Papers

Genetic algorithms as a strategy for feature selection 1992 2026 2003 2014 1992 1998 2009 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riccardo Leardi Italy 37 3.2k 1.4k 1.3k 888 844 126 7.1k
Beata Walczak Poland 49 3.7k 1.2× 1.4k 1.0× 1.5k 1.2× 1.1k 1.3× 798 0.9× 171 8.6k
L.M.C. Buydens Netherlands 53 3.7k 1.2× 1.8k 1.2× 2.4k 1.9× 1.4k 1.6× 595 0.7× 214 10.1k
Xueguang Shao China 50 3.9k 1.2× 1.9k 1.3× 2.1k 1.6× 1.0k 1.1× 478 0.6× 414 9.5k
Yong‐Huan Yun China 38 2.3k 0.7× 1.2k 0.9× 1.5k 1.2× 307 0.3× 675 0.8× 110 5.1k
Richard G. Brereton United Kingdom 40 4.8k 1.5× 2.7k 1.9× 2.2k 1.7× 2.2k 2.5× 447 0.5× 232 10.5k
Wensheng Cai China 45 2.8k 0.9× 1.5k 1.0× 2.0k 1.5× 730 0.8× 521 0.6× 343 7.8k
Lennart Eriksson Sweden 31 4.3k 1.4× 1.8k 1.3× 3.8k 2.9× 1.4k 1.5× 2.1k 2.5× 101 13.7k
Davide Ballabio Italy 35 1.6k 0.5× 1.2k 0.9× 1.3k 1.0× 610 0.7× 1.3k 1.5× 122 5.3k
Márcia M. C. Ferreira Brazil 41 1.6k 0.5× 932 0.6× 1.0k 0.8× 520 0.6× 812 1.0× 182 5.7k
Federico Marini Italy 51 3.7k 1.2× 2.1k 1.4× 2.5k 1.9× 498 0.6× 225 0.3× 274 9.8k

Countries citing papers authored by Riccardo Leardi

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo Leardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Leardi

This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Leardi. A scholar is included among the top collaborators of Riccardo Leardi 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 Riccardo Leardi. Riccardo Leardi 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
1.
Leardi, Riccardo, et al.. (2023). Supervised classification combined with genetic algorithm variable selection for a fast identification of polymeric microdebris using infrared reflectance. Marine Pollution Bulletin. 195. 115540–115540. 5 indexed citations
3.
Boaga, Jacopo, Giorgio Cassiani, Riccardo Leardi, et al.. (2022). From electromagnetic to sediment textural maps: an integrated approach to unravel the intra-point-bar variability of sediment properties. Journal of the Geological Society. 179(4). 6 indexed citations
4.
Marengo, Barbara, Alessandra Pulliero, Maria Valeria Corrias, et al.. (2021). Potential Role of miRNAs in the Acquisition of Chemoresistance in Neuroblastoma. Journal of Personalized Medicine. 11(2). 107–107. 5 indexed citations
5.
Oliveri, Paolo, et al.. (2019). Chemometric challenges in development of paper-based analytical devices: Optimization and image processing. Analytica Chimica Acta. 1101. 1–8. 13 indexed citations
6.
Leardi, Riccardo, et al.. (2018). Fabrication of paper-based analytical devices optimized by central composite design. The Analyst. 143(9). 2102–2108. 11 indexed citations
7.
Leardi, Riccardo, et al.. (2018). Sequential “asymmetric” D-optimal designs: a practical solution in case of limited resources and not equally expensive experiments. Chemometrics and Intelligent Laboratory Systems. 178. 24–31. 6 indexed citations
8.
Leardi, Riccardo, et al.. (2016). A Biosurfactant/Polystyrene Polymer Partition System for Remediating Coal Tar-Contaminated Sediment. Soil and Sediment Contamination An International Journal. 25(6). 683–699. 5 indexed citations
9.
Sokolov, Michael, Miroslav Šoóš, Massimo Morbidelli, et al.. (2015). Fingerprint detection and process prediction by multivariate analysis of fed‐batch monoclonal antibody cell culture data. Biotechnology Progress. 31(6). 1633–1644. 31 indexed citations
10.
Zunin, Paola, Raffaella Boggia, Federica Turrini, & Riccardo Leardi. (2014). Total and “free” lipids in commercial infant formulas: Fatty acid composition and their stability to oxidation. Food Chemistry. 173. 332–338. 13 indexed citations
12.
Cordella, Christophe, Riccardo Leardi, & Douglas N. Rutledge. (2010). Three-way principal component analysis applied to noodles sensory data analysis. Chemometrics and Intelligent Laboratory Systems. 106(1). 125–130. 7 indexed citations
13.
Mignani, Adriana, et al.. (2007). Optimization of a glucose biosensor setup based on a Ni/Al HT matrix. Analytica Chimica Acta. 599(1). 36–40. 21 indexed citations
14.
Cafaggi, Sergio, Eleonora Russo, Riccardo Leardi, et al.. (2007). Preparation and evaluation of nanoparticles made of chitosan or N-trimethyl chitosan and a cisplatin–alginate complex. Journal of Controlled Release. 121(1-2). 110–123. 133 indexed citations
15.
Cafaggi, Sergio, Riccardo Leardi, B. Parodi, et al.. (2004). Preparation and evaluation of a chitosan salt–poloxamer 407 based matrix for buccal drug delivery. Journal of Controlled Release. 102(1). 159–169. 52 indexed citations
16.
Leardi, Riccardo. (2002). Chemometrics: From classical to genetic algorithms. Grasas y Aceites. 53(1). 115–127. 6 indexed citations
17.
Aguiar, Paula Fernandes de, Yvan Vander Heyden, D.L. Massart, Riccardo Leardi, & Jacques O. De Beer. (1997). Optimisation of the isocratic separation of dithranol and related compounds by reversed-phase liquid chromatography. Acta Chromatographica. 7. 129–148. 1 indexed citations
18.
Forina, Michele, Carla Armanino, Riccardo Leardi, & Giuliana Drava. (1991). A class‐modelling technique based on potential functions. Journal of Chemometrics. 5(5). 435–453. 101 indexed citations
19.
Forina, Michele & Riccardo Leardi. (1988). PARVUS—MS-DOS: a package for general pattern recognition. TrAC Trends in Analytical Chemistry. 7(2). 53–54. 1 indexed citations
20.
Leardi, Riccardo, et al.. (1987). Caratterizzazione dell'origine di oli di oliva extravergini mediante metodi chemiometrici applicati alla frazione sterolica. CINECA IRIS Institutial Research Information System (University of Genoa). 8 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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