Alessandro Petrini

1.2k total citations
20 papers, 406 citations indexed

About

Alessandro Petrini is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Alessandro Petrini has authored 20 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Alessandro Petrini's work include Bioinformatics and Genomic Networks (5 papers), Video Coding and Compression Technologies (3 papers) and Gene expression and cancer classification (3 papers). Alessandro Petrini is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Video Coding and Compression Technologies (3 papers) and Gene expression and cancer classification (3 papers). Alessandro Petrini collaborates with scholars based in Italy, United States and Germany. Alessandro Petrini's co-authors include Elena Casiraghi, Jessica Gliozzo, Barbara Rita Barricelli, Stefano Valtolina, Marco Frasca, Dario Malchiodi, Giuliano Grossi, Giorgio Valentini, Alberto Ceselli and Antonio Pietrabissa and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Alessandro Petrini

20 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandro Petrini Italy 10 108 104 51 46 44 20 406
Rohit Agarwal India 14 75 0.7× 22 0.2× 75 1.5× 140 3.0× 114 2.6× 51 556
Fatima Alshehri Saudi Arabia 4 120 1.1× 13 0.1× 113 2.2× 40 0.9× 80 1.8× 6 420
Juana Canul-Reich Mexico 10 35 0.3× 17 0.2× 142 2.8× 28 0.6× 49 1.1× 29 336
Lingling Zhao China 12 76 0.7× 15 0.1× 142 2.8× 25 0.5× 61 1.4× 30 361
Lucia Cascone Italy 10 22 0.2× 20 0.2× 88 1.7× 40 0.9× 41 0.9× 35 293
Yu Sheng China 9 102 0.9× 8 0.1× 71 1.4× 69 1.5× 66 1.5× 52 342
Ranjeet Kumar Rout India 14 62 0.6× 12 0.1× 113 2.2× 45 1.0× 61 1.4× 62 591
Muhammad Khurram Ehsan Pakistan 11 103 1.0× 14 0.1× 42 0.8× 122 2.7× 18 0.4× 30 338
Carmelo Pino Italy 11 30 0.3× 13 0.1× 48 0.9× 14 0.3× 35 0.8× 45 259

Countries citing papers authored by Alessandro Petrini

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Petrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Petrini

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Petrini. A scholar is included among the top collaborators of Alessandro Petrini 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 Alessandro Petrini. Alessandro Petrini 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.
Cappelletti, Luca, Alessandro Petrini, Jessica Gliozzo, et al.. (2022). Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques. BMC Bioinformatics. 23(S2). 154–154. 3 indexed citations
2.
Petrini, Alessandro, Elena Casiraghi, Stefano Biffani, et al.. (2022). Automated image analysis to assess hygienic behaviour of honeybees. PLoS ONE. 17(1). e0263183–e0263183. 8 indexed citations
3.
Petrini, Alessandro, et al.. (2022). Deep neural networks compression: A comparative survey and choice recommendations. Neurocomputing. 520. 152–170. 56 indexed citations
4.
Gliozzo, Jessica, Marco Mesiti, Marco Notaro, et al.. (2022). Heterogeneous data integration methods for patient similarity networks. Briefings in Bioinformatics. 23(4). 19 indexed citations
5.
Conte, Donatello, Giuliano Grossi, Raffaella Lanzarotti, Jianyi Lin, & Alessandro Petrini. (2021). Analysis of a parallel MCMC algorithm for graph coloring with nearly uniform balancing. Pattern Recognition Letters. 149. 30–36. 3 indexed citations
6.
Conca, Francesca, Eleonora Catricalà, Matteo Canini, et al.. (2021). In search of different categories of abstract concepts: a fMRI adaptation study. Scientific Reports. 11(1). 22587–22587. 10 indexed citations
7.
Casiraghi, Elena, Pierangelo Fasani, Andrea Esposito, et al.. (2021). Abdominal Computed Tomography Imaging Findings in Hospitalized COVID-19 Patients: A Year-Long Experience and Associations Revealed by Explainable Artificial Intelligence. Journal of Imaging. 7(12). 258–258. 1 indexed citations
8.
Notaro, Marco, Marco Frasca, Alessandro Petrini, et al.. (2021). HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction. Bioinformatics. 37(23). 4526–4533. 5 indexed citations
9.
Petrini, Alessandro, Marco Mesiti, Max Schubach, et al.. (2020). parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants. GigaScience. 9(5). 9 indexed citations
10.
11.
Canini, Matteo, Paolo Ivo Cavoretto, Paola Scifo, et al.. (2020). Subcortico-Cortical Functional Connectivity in the Fetal Brain: A Cognitive Development Blueprint. Cerebral Cortex Communications. 1(1). tgaa008–tgaa008. 16 indexed citations
12.
Gliozzo, Jessica, Paolo Perlasca, Marco Mesiti, et al.. (2020). Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction. Scientific Reports. 10(1). 3612–3612. 7 indexed citations
13.
Barricelli, Barbara Rita, Elena Casiraghi, Jessica Gliozzo, Alessandro Petrini, & Stefano Valtolina. (2020). Human Digital Twin for Fitness Management. IEEE Access. 8. 26637–26664. 159 indexed citations
14.
Perlasca, Paolo, Marco Frasca, Marco Notaro, et al.. (2019). UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction. BMC Bioinformatics. 20(1). 422–422. 6 indexed citations
15.
Frasca, Marco, Giuliano Grossi, Jessica Gliozzo, et al.. (2018). A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks. BMC Bioinformatics. 19(S10). 353–353. 1 indexed citations
16.
Grossi, Giuliano, Pietro Paglierani, Federico Pedersini, & Alessandro Petrini. (2018). Enhanced multicore–manycore interaction in high-performance video encoding. Journal of Real-Time Image Processing. 17(4). 887–902. 2 indexed citations
17.
Kourtis, Michail‐Alexandros, Michael J. McGrath, Georgios Gardikis, et al.. (2017). T-NOVA: An Open-Source MANO Stack for NFV Infrastructures. IEEE Transactions on Network and Service Management. 14(3). 586–602. 42 indexed citations
18.
Paglierani, Pietro, et al.. (2016). Hardware-accelerated high-resolution video coding in Virtual Network Functions. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 32–36. 12 indexed citations
19.
Riera, Jordi Ferrer, Miguel Sales Dias, Michael J. McGrath, et al.. (2016). TeNOR: Steps towards an orchestration platform for multi-PoP NFV deployment. IRIS eCampus Telematic University (Università degli Studi eCampus). 243–250. 29 indexed citations
20.
Paglierani, Pietro, Giuliano Grossi, Federico Pedersini, & Alessandro Petrini. (2016). GPU-based VP8 encoding: Performance in native and virtualized environments. 6386. 1–5. 3 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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