Paola Bertolazzi

1.6k total citations
54 papers, 981 citations indexed

About

Paola Bertolazzi is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Paola Bertolazzi has authored 54 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 16 papers in Computational Theory and Mathematics and 9 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Paola Bertolazzi's work include Bioinformatics and Genomic Networks (10 papers), Computational Geometry and Mesh Generation (9 papers) and Advanced Graph Theory Research (9 papers). Paola Bertolazzi is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Computational Geometry and Mesh Generation (9 papers) and Advanced Graph Theory Research (9 papers). Paola Bertolazzi collaborates with scholars based in Italy, United States and Russia. Paola Bertolazzi's co-authors include Giovanni Felici, Emanuel Weitschek, Giulia Fiscon, Giuseppe Di Battista, Maria Cristina De Cola, Carlo Mannino, Roberto Tamassia, Simona De Salvo, Placido Bramanti and Robin van Velzen and has published in prestigious journals such as Bioinformatics, European Journal of Operational Research and Biotechnology Advances.

In The Last Decade

Paola Bertolazzi

50 papers receiving 939 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paola Bertolazzi Italy 17 404 155 152 118 115 54 981
Carlos Eduardo Ferreira Brazil 17 522 1.3× 34 0.2× 104 0.7× 131 1.1× 28 0.2× 69 1.2k
Vı́ctor Robles Spain 15 579 1.4× 135 0.9× 691 4.5× 173 1.5× 297 2.6× 41 1.6k
Kyung-Ah Sohn South Korea 20 440 1.1× 82 0.5× 244 1.6× 32 0.3× 314 2.7× 95 1.3k
Shikui Tu China 21 1.2k 2.9× 41 0.3× 103 0.7× 229 1.9× 80 0.7× 87 1.7k
Rubén Armañanzas Spain 17 755 1.9× 141 0.9× 308 2.0× 101 0.9× 100 0.9× 37 1.5k
Guoqing Wang China 21 212 0.5× 50 0.3× 259 1.7× 31 0.3× 616 5.4× 107 1.5k
Yingnian Wu China 9 738 1.8× 62 0.4× 91 0.6× 14 0.1× 421 3.7× 37 1.5k
Alioune Ngom Canada 18 540 1.3× 40 0.3× 255 1.7× 122 1.0× 147 1.3× 90 1.2k
Jean Gao United States 16 309 0.8× 53 0.3× 150 1.0× 33 0.3× 191 1.7× 114 935
Nini Rao China 22 761 1.9× 202 1.3× 129 0.8× 37 0.3× 239 2.1× 86 1.7k

Countries citing papers authored by Paola Bertolazzi

Since Specialization
Citations

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

Fields of papers citing papers by Paola Bertolazzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Bertolazzi

This figure shows the co-authorship network connecting the top 25 collaborators of Paola Bertolazzi. A scholar is included among the top collaborators of Paola Bertolazzi 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 Paola Bertolazzi. Paola Bertolazzi 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.
Taglino, Francesco, Fabio Cumbo, Ivan Arisi, et al.. (2023). An ontology-based approach for modelling and querying Alzheimer’s disease data. BMC Medical Informatics and Decision Making. 23(1). 153–153. 2 indexed citations
2.
Fiscon, Giulia, Emanuel Weitschek, Giovanni Felici, et al.. (2018). Combining EEG signal processing with supervised methods for Alzheimer’s patients classification. BMC Medical Informatics and Decision Making. 18(1). 35–35. 118 indexed citations
3.
Weitschek, Emanuel, et al.. (2018). CamurWeb: a classification software and a large knowledge base for gene expression data of cancer. BMC Bioinformatics. 19(S10). 354–354. 9 indexed citations
4.
Arisi, Ivan, Paola Bertolazzi, Federica Conte, et al.. (2018). An ontology-based approach to improve data querying and organization of Alzheimer’s Disease data. IRIS Research product catalog (Sapienza University of Rome). 2. 2732–2734. 4 indexed citations
5.
Fiscon, Giulia, Emanuel Weitschek, Eleonora Cella, et al.. (2016). MISSEL: a method to identify a large number of small species-specific genomic subsequences and its application to viruses classification. BioData Mining. 9(1). 38–38. 11 indexed citations
6.
Arisi, Ivan, Mara D’Onofrio, Rossella Brandi, et al.. (2015). Time dynamics of protein complexes in the AD11 transgenic mouse model for Alzheimer’s disease like pathology. BMC Neuroscience. 16(1). 28–28. 3 indexed citations
7.
Bertolazzi, Paola, Mary Ellen Bock, Concettina Guerra, Paola Paci, & Daniele Santoni. (2014). On the integration of protein-protein interaction networks with gene expression and 3D structural data: What can be gained?. IRIS Research product catalog (Sapienza University of Rome).
8.
Bertolazzi, Paola, Concettina Guerra, & Giampaolo Liuzzi. (2014). Predicting protein-ligand and protein-peptide interfaces. IRIS Research product catalog (Sapienza University of Rome). 11 indexed citations
9.
Weitschek, Emanuel, Giovanni Felici, & Paola Bertolazzi. (2013). Clinical Data Mining: Problems, Pitfalls and Solutions. 90–94. 16 indexed citations
10.
Bertolazzi, Paola, M. Bock, & Célia Fonseca Guerra. (2012). On the functional and structural characterization of hubs in protein–protein interaction networks. Biotechnology Advances. 31(2). 274–286.
11.
Weitschek, Emanuel, Giovanni Felici, & Paola Bertolazzi. (2012). MALA: A Microarray Clustering and Classification Software. 6. 201–205. 14 indexed citations
12.
Arisi, Ivan, Mara D’Onofrio, Rossella Brandi, et al.. (2011). Gene Expression Biomarkers in the Brain of a Mouse Model for Alzheimer's Disease: Mining of Microarray Data by Logic Classification and Feature Selection. Journal of Alzheimer s Disease. 24(4). 721–738. 110 indexed citations
13.
14.
Bertolazzi, Paola, Concettina Guerra, & Giampaolo Liuzzi. (2010). A global optimization algorithm for protein surface alignment. BMC Bioinformatics. 11(1). 488–488. 13 indexed citations
15.
Bertolazzi, Paola, Giovanni Felici, & Emanuel Weitschek. (2009). Learning to classify species with barcodes. BMC Bioinformatics. 10(S14). S7–S7. 72 indexed citations
16.
Felici, Giovanni, Paola Bertolazzi, Mario Rosario Guarracino, Altannar Chinchuluun, & Pãnos M. Pardalos. (2009). LOGIC FORMULAS BASED KNOWLEDGE DISCOVERY AND ITS APPLICATION TO THE CLASSIFICATION OF BIOLOGICAL DATA. 265–279. 2 indexed citations
17.
Bertolazzi, Paola, et al.. (2007). Solving haplotyping inference parsimony problem using a new basic polynomial formulation. Computers & Mathematics with Applications. 55(5). 900–911. 1 indexed citations
18.
Bertolazzi, Paola & Monica Scannapieco. (2001). Introducing Data Quality in a Cooperative Context.. 37(16). 431–444. 10 indexed citations
19.
Bertolazzi, Paola, Caterina De Simone, & Anna Galluccio. (1997). A nice class for the vertex packing problem. Discrete Applied Mathematics. 76(1-3). 3–19. 9 indexed citations
20.
Bertolazzi, Paola & Antonio Sassano. (1987). An O(mn) algorithm for regular set-covering problems. Theoretical Computer Science. 54(2-3). 237–247. 26 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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