Federico Marini

13.7k total citations · 3 hit papers
274 papers, 9.8k citations indexed

About

Federico Marini is a scholar working on Analytical Chemistry, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Federico Marini has authored 274 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Analytical Chemistry, 75 papers in Biomedical Engineering and 64 papers in Molecular Biology. Recurrent topics in Federico Marini's work include Spectroscopy and Chemometric Analyses (135 papers), Advanced Chemical Sensor Technologies (75 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (45 papers). Federico Marini is often cited by papers focused on Spectroscopy and Chemometric Analyses (135 papers), Advanced Chemical Sensor Technologies (75 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (45 papers). Federico Marini collaborates with scholars based in Italy, France and United States. Federico Marini's co-authors include Beata Walczak, Alessandra Biancolillo, Remo Bucci, Antonio Magrı̀, Jean‐Michel Roger, Andrea Magrì, Puneet Mishra, Frank Westad, Douglas N. Rutledge and Emanuele Marzetti and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Federico Marini

270 papers receiving 9.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Particle swarm optimization (PSO). A tutorial

2015 1.2k citations Federico Marini et al. Chemometrics and Intelligent Laboratory Systems profile →
New data preprocessing trends based on ensemble of multiple preprocessing techniques

2020 338 citations Puneet Mishra, Alessandra Biancolillo et al. TrAC Trends in Analytical Chemistry profile →
Validation of chemometric models – A tutorial

2015 271 citations Federico Marini et al. Analytica Chimica Acta profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Federico Marini Italy	51	3.7k	2.5k	2.1k	1.3k	1.1k	274	9.8k
Frans van den Berg Denmark	38	3.0k 0.8×	3.5k 1.4×	1.3k 0.6×	1.9k 1.5×	1.1k 1.0×	139	8.9k
Johan A. Westerhuis Netherlands	42	2.8k 0.8×	4.8k 1.9×	1.5k 0.7×	905 0.7×	627 0.6×	155	10.4k
Lennart Eriksson Sweden	31	4.3k 1.2×	3.8k 1.5×	1.8k 0.9×	1.0k 0.8×	989 0.9×	101	13.7k
Johan Trygg Sweden	51	2.8k 0.7×	8.8k 3.6×	2.1k 1.0×	1.1k 0.8×	778 0.7×	178	15.6k
Douglas N. Rutledge France	41	3.0k 0.8×	1.5k 0.6×	1.5k 0.7×	1.4k 1.0×	756 0.7×	228	6.7k
Colm P. O’Donnell Ireland	76	3.3k 0.9×	2.5k 1.0×	2.4k 1.2×	4.3k 3.2×	966 0.9×	474	21.3k
Søren Balling Engelsen Denmark	61	6.2k 1.7×	4.1k 1.7×	2.7k 1.3×	3.1k 2.3×	2.2k 2.0×	299	15.1k
Dongsheng Cao China	57	3.2k 0.9×	6.6k 2.7×	1.5k 0.7×	507 0.4×	1.2k 1.1×	275	14.6k
Kim H. Esbensen Denmark	34	3.8k 1.0×	1.8k 0.7×	2.0k 1.0×	796 0.6×	1.1k 1.0×	204	13.0k
Age K. Smilde Netherlands	64	6.5k 1.7×	8.3k 3.4×	3.1k 1.5×	1.7k 1.3×	1.6k 1.4×	313	20.7k

Countries citing papers authored by Federico Marini

Since Specialization

Citations

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

Fields of papers citing papers by Federico Marini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Marini

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Marini. A scholar is included among the top collaborators of Federico Marini 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 Federico Marini. Federico Marini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lau, Henry Y. K., Ying Xu, Hua Zhao, et al.. (2025). Physiological Differences in Sebum Composition in Regularly Menstruating Healthy Women. The Journal of Dermatology. 52(11). 1638–1647.

Sciubba, Fabio, Alberta Tomassini, Ottavia Giampaoli, et al.. (2024). Pisum sativum L. ‘Eso’: Metabolic Profiling of Yellow Seeds to Define the Optimal Harvest Time. Agriculture. 14(6). 855–855. 1 indexed citations

Cocchi, Marina, et al.. (2024). One class classification (class modelling): State of the art and perspectives. TrAC Trends in Analytical Chemistry. 183. 118117–118117. 6 indexed citations

Roger, Jean‐Michel, et al.. (2024). G-CovSel: Covariance oriented variable clustering. Chemometrics and Intelligent Laboratory Systems. 254. 105223–105223.

Durante, Caterina, et al.. (2024). Data fusion strategies for the integration of diverse non-destructive spectral sensors (NDSS) in food analysis. TrAC Trends in Analytical Chemistry. 180. 117957–117957. 12 indexed citations

Giampaoli, Ottavia, Fabio Sciubba, Federico Marini, et al.. (2024). NMR-based metabolomics for investigating urinary profiles of metal carpentry workers exposed to welding fumes and volatile organic compounds. Frontiers in Public Health. 12. 1386441–1386441. 1 indexed citations

Marini, Federico, et al.. (2024). The Potential Application of Visible-Near Infrared (Vis-NIR) Hyperspectral Imaging for Classifying Typical Defective Goji Berry (Lycium barbarum L.). Foods. 13(21). 3469–3469. 2 indexed citations

Vitale, Raffaele, Marina Cocchi, Alessandra Biancolillo, Cyril Ruckebusch, & Federico Marini. (2023). Class modelling by Soft Independent Modelling of Class Analogy: why, when, how? A tutorial. Analytica Chimica Acta. 1270. 341304–341304. 35 indexed citations

Baqueta, Michel Rocha, Federico Marini, Rodrigo Barros Rocha, Patrícia Valderrama, & Juliana Azevedo Lima Pallone. (2023). Authentication and discrimination of new Brazilian Canephora coffees with geographical indication using a miniaturized near-infrared spectrometer. Food Research International. 172. 113216–113216. 9 indexed citations

10.

Biancolillo, Alessandra, et al.. (2023). Coupling of NIR Spectroscopy and Chemometrics for the Quantification of Dexamethasone in Pharmaceutical Formulations. Pharmaceuticals. 16(2). 309–309. 8 indexed citations

11.

Måge, Ingrid & Federico Marini. (2023). Advancements in multivariate analysis of variance. Journal of Chemometrics. 37(7). 3 indexed citations

12.

Foschi, Martina, et al.. (2023). Multi-block approach for the characterization and discrimination of Italian chickpeas landraces. Food Control. 157. 110170–110170. 7 indexed citations

13.

Tramutola, Antonella, Sara Pagnotta, Gabriele Ruffolo, et al.. (2023). Intranasal Administration of KYCCSRK Peptide Rescues Brain Insulin Signaling Activation and Reduces Alzheimer’s Disease-like Neuropathology in a Mouse Model for Down Syndrome. Antioxidants. 12(1). 111–111. 14 indexed citations

14.

Calvani, Riccardo, Jacopo Gervasoni, Anna Picca, et al.. (2023). Effects of l-Arginine Plus Vitamin C Supplementation on l-Arginine Metabolism in Adults with Long COVID: Secondary Analysis of a Randomized Clinical Trial. International Journal of Molecular Sciences. 24(6). 5078–5078. 7 indexed citations

15.

Mishra, Puneet, Jean‐Michel Roger, Federico Marini, Alessandra Biancolillo, & Douglas N. Rutledge. (2022). Pre-processing ensembles with response oriented sequential alternation calibration (PROSAC): A step towards ending the pre-processing search and optimization quest for near-infrared spectral modelling. Chemometrics and Intelligent Laboratory Systems. 222. 104497–104497. 21 indexed citations

16.

Mishra, Puneet, Ramin Nikzad‐Langerodi, Federico Marini, et al.. (2021). Are standard sample measurements still needed to transfer multivariate calibration models between near-infrared spectrometers? The answer is not always. TrAC Trends in Analytical Chemistry. 143. 116331–116331. 51 indexed citations

17.

Cerrato, Andrea, Cinzia Citti, Giuseppe Cannazza, et al.. (2021). Phytocannabinomics: Untargeted metabolomics as a tool for cannabis chemovar differentiation. Talanta. 230. 122313–122313. 42 indexed citations

18.

Mishra, Puneet, Federico Marini, Bastiaan Brouwer, et al.. (2020). Sequential fusion of information from two portable spectrometers for improved prediction of moisture and soluble solids content in pear fruit. Talanta. 223(Pt 2). 121733–121733. 74 indexed citations

19.

Marini, Federico. (2013). Chemometrics in Food Chemistry : Data Handling in Science and Technology Volume 28. Elsevier eBooks. 2 indexed citations

20.

Gasparrini, Francesco, et al.. (1999). Temperature dependent elution order of enantiomers on a two-armed receptor HPLC chiral stationary phase. IRIS Research product catalog (Sapienza University of Rome). 5 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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