Alessandra Biancolillo

5.4k total citations · 2 hit papers
119 papers, 3.8k citations indexed

About

Alessandra Biancolillo is a scholar working on Analytical Chemistry, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Alessandra Biancolillo has authored 119 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Analytical Chemistry, 29 papers in Biomedical Engineering and 28 papers in Molecular Biology. Recurrent topics in Alessandra Biancolillo's work include Spectroscopy and Chemometric Analyses (70 papers), Advanced Chemical Sensor Technologies (29 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (21 papers). Alessandra Biancolillo is often cited by papers focused on Spectroscopy and Chemometric Analyses (70 papers), Advanced Chemical Sensor Technologies (29 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (21 papers). Alessandra Biancolillo collaborates with scholars based in Italy, France and Netherlands. Alessandra Biancolillo's co-authors include Federico Marini, Jean‐Michel Roger, Puneet Mishra, Douglas N. Rutledge, Remo Bucci, Angelo Antonio D’Archivio, Andrea Magrì, Ingrid Måge, Riccardo Calvani and Anna Picca and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Chemistry - A European Journal.

In The Last Decade

Alessandra Biancolillo

114 papers receiving 3.7k 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.

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 →
The fourth industrial revolution in the food industry—Part I: Industry 4.0 technologies

2022 203 citations Abdo Hassoun, Abderrahmane Aït‐Kaddour et al. profile →

Peers

Alessandra Biancolillo

BIOPH

Liangxiao Zhang China

Hui Zhang China

Douglas N. Rutledge France

Baichuan Deng China

Ewa Szymańska Poland

Haibin Qu China

Hongmei Lü China

Hong‐Dong Li China

Lunzhao Yi China

Zhifeng Zhang China

Liangxiao Zhang China

Alessandra Biancolillo

1.2k ×0.6

1.3k ×1.3

970 ×1.1

542 ×0.8

177 ×0.3

BIOPH

Citations per year, relative to Alessandra Biancolillo Alessandra Biancolillo (= 1×) peers Liangxiao Zhang

Countries citing papers authored by Alessandra Biancolillo

Since Specialization

Citations

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

Fields of papers citing papers by Alessandra Biancolillo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandra Biancolillo

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandra Biancolillo. A scholar is included among the top collaborators of Alessandra Biancolillo 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 Alessandra Biancolillo. Alessandra Biancolillo 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

Foschi, Martina, et al.. (2025). Analysis of Volatile Organic Compounds in Textiles: Insights from GC–MS with Metal Content Assessment Using ICP-MS. Applied Sciences. 15(3). 1572–1572. 3 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

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

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

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

Cerrato, Andrea, Alessandra Biancolillo, Giuseppe Cannazza, et al.. (2023). Untargeted cannabinomics reveals the chemical differentiation of industrial hemp based on the cultivar and the geographical field location. Analytica Chimica Acta. 1278. 341716–341716. 11 indexed citations

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

10.

Mishra, Puneet, Dário Passos, Federico Marini, et al.. (2022). Deep learning for near-infrared spectral data modelling: Hypes and benefits. TrAC Trends in Analytical Chemistry. 157. 116804–116804. 119 indexed citations

11.

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

12.

Hassoun, Abdo, Shikha Ojha, Brijesh K. Tiwari, et al.. (2020). Monitoring Thermal and Non-Thermal Treatments during Processing of Muscle Foods: A Comprehensive Review of Recent Technological Advances. Applied Sciences. 10(19). 6802–6802. 25 indexed citations

13.

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

14.

Mishra, Puneet, Jean‐Michel Roger, Federico Marini, Alessandra Biancolillo, & Douglas N. Rutledge. (2020). FRUITNIR-GUI: A graphical user interface for correcting external influences in multi-batch near infrared experiments related to fruit quality prediction. Postharvest Biology and Technology. 175. 111414–111414. 13 indexed citations

15.

Hassoun, Abdo, Ingrid Måge, Walter Schmidt, et al.. (2020). Fraud in Animal Origin Food Products: Advances in Emerging Spectroscopic Detection Methods over the Past Five Years. Foods. 9(8). 1069–1069. 113 indexed citations

16.

Calvani, Riccardo, Anna Picca, Federico Marini, et al.. (2020). Identification of biomarkers for physical frailty and sarcopenia through a new multi-marker approach: results from the BIOSPHERE study. GeroScience. 43(2). 727–740. 50 indexed citations

17.

Calvani, Riccardo, Anna Picca, Giovanni Landi, et al.. (2020). A novel multi-marker discovery approach identifies new serum biomarkers for Parkinson’s disease in older people: an EXosomes in PArkiNson Disease (EXPAND) ancillary study. GeroScience. 42(5). 1323–1334. 39 indexed citations

18.

Primiano, Aniello, Silvia Persichilli, Pietro Manuel Ferraro, et al.. (2020). A Specific Urinary Amino Acid Profile Characterizes People with Kidney Stones. Disease Markers. 2020. 1–7. 16 indexed citations

19.

Mishra, Puneet, Alessandra Biancolillo, Jean‐Michel Roger, Federico Marini, & Douglas N. Rutledge. (2020). New data preprocessing trends based on ensemble of multiple preprocessing techniques. TrAC Trends in Analytical Chemistry. 132. 116045–116045. 338 indexed citations breakdown →

20.

Hassoun, Abdo, María Guðjónsdóttir, Miguel A. Prieto, et al.. (2020). Application of Novel Techniques for Monitoring Quality Changes in Meat and Fish Products during Traditional Processing Processes: Reconciling Novelty and Tradition. Processes. 8(8). 988–988. 23 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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