Enrico Blanzieri

2.8k total citations
89 papers, 1.7k citations indexed

About

Enrico Blanzieri is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Enrico Blanzieri has authored 89 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 23 papers in Molecular Biology and 17 papers in Information Systems. Recurrent topics in Enrico Blanzieri's work include Quantum Computing Algorithms and Architecture (10 papers), Bioinformatics and Genomic Networks (10 papers) and Gene expression and cancer classification (9 papers). Enrico Blanzieri is often cited by papers focused on Quantum Computing Algorithms and Architecture (10 papers), Bioinformatics and Genomic Networks (10 papers) and Gene expression and cancer classification (9 papers). Enrico Blanzieri collaborates with scholars based in Italy, China and United States. Enrico Blanzieri's co-authors include Anton Bryl, Farid Melgani, Andrea Malossini, Nicola Segata, Farid Melgani, Luca Pasolli, Tommaso Calarco, Paolo Giorgini, Carmen Maria Livi and Raymond T. Ng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Enrico Blanzieri

83 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enrico Blanzieri Italy 19 733 389 273 250 222 89 1.7k
Renchu Guan China 24 823 1.1× 323 0.8× 256 0.9× 357 1.4× 87 0.4× 104 1.8k
Yangyong Zhu China 15 660 0.9× 397 1.0× 99 0.4× 256 1.0× 149 0.7× 65 1.7k
Tomás F. Pena Spain 13 645 0.9× 304 0.8× 267 1.0× 216 0.9× 305 1.4× 103 2.0k
Bing Liu China 27 1.9k 2.6× 408 1.0× 150 0.5× 944 3.8× 111 0.5× 154 3.2k
Bill Fulkerson United States 9 1.2k 1.7× 283 0.7× 168 0.6× 443 1.8× 79 0.4× 15 2.5k
Maria Halkidi Greece 13 1.7k 2.3× 605 1.6× 264 1.0× 589 2.4× 230 1.0× 30 3.1k
Ling Tian China 22 725 1.0× 226 0.6× 57 0.2× 582 2.3× 344 1.5× 122 1.7k
Yun Li China 17 659 0.9× 197 0.5× 94 0.3× 326 1.3× 179 0.8× 106 1.4k
Shengrui Wang Canada 24 1.0k 1.4× 372 1.0× 227 0.8× 501 2.0× 135 0.6× 136 2.0k

Countries citing papers authored by Enrico Blanzieri

Since Specialization
Citations

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

Fields of papers citing papers by Enrico Blanzieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrico Blanzieri

This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Blanzieri. A scholar is included among the top collaborators of Enrico Blanzieri 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 Enrico Blanzieri. Enrico Blanzieri 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.
Blanzieri, Enrico, et al.. (2024). Local Binary and Multiclass SVMs Trained on a Quantum Annealer. IEEE Transactions on Quantum Engineering. 5. 1–12. 1 indexed citations
2.
Blanzieri, Enrico, et al.. (2024). A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation. Quantum Machine Intelligence. 6(1). 8 indexed citations
3.
Blanzieri, Enrico, et al.. (2023). Evaluating the convergence of tabu enhanced hybrid quantum optimization. Quantum Information Processing. 22(5).
4.
Blanzieri, Enrico, et al.. (2022). Quantum annealing learning search implementations. Quantum Information and Computation. 22(3&4). 181–208. 1 indexed citations
5.
Blanzieri, Enrico, et al.. (2022). Local Approach to Quantum-inspired Classification. International Journal of Theoretical Physics. 62(1). 3 indexed citations
6.
Malacarne, Giulia, S. Pilati, Francesco Asnicar, et al.. (2018). Discovering Causal Relationships in Grapevine Expression Data to Expand Gene Networks. A Case Study: Four Networks Related to Climate Change. Frontiers in Plant Science. 9. 1385–1385. 8 indexed citations
7.
Asnicar, Francesco, et al.. (2015). TN-Grid and gene@home project: volunteer computing for bioinformatics. Institutional Research Information System (Università degli Studi di Trento). 6 indexed citations
8.
Livi, Carmen Maria & Enrico Blanzieri. (2014). Protein-specific prediction of mRNA binding using RNA sequences, binding motifs and predicted secondary structures. BMC Bioinformatics. 15(1). 123–123. 41 indexed citations
9.
Segata, Nicola & Enrico Blanzieri. (2010). Fast and Scalable Local Kernel Machines. Journal of Machine Learning Research. 11(64). 1883–1926. 46 indexed citations
10.
Birukou, Aliaksandr & Enrico Blanzieri. (2009). A model of culture for software. Unitn Eprints Research (Università Degli Studi di Trento).
11.
Pasolli, Luca, Enrico Blanzieri, & Farid Melgani. (2008). Estimating Biophysical Parameters from Remotely Sensed Imagery with Gaussian Processes. Institutional Research Information System (Università degli Studi di Trento). II–851. 14 indexed citations
12.
Segata, Nicola & Enrico Blanzieri. (2008). Empirical Assessment of Classification Accuracy of Local SVM. Unitn Eprints Research (Università Degli Studi di Trento). 10 indexed citations
13.
Segata, Nicola, Enrico Blanzieri, & Corrado Priami. (2008). Towards the integration of computational systems biology and high-throughput data: supporting differential analysis of microarray gene expression data. SHILAP Revista de lepidopterología. 5(1). 1 indexed citations
14.
Blanzieri, Enrico & Anton Bryl. (2007). Evaluation of the Highest Probability SVM Nearest Neighbor Classifier with Variable Relative Error Cost. Unitn Eprints Research (Università Degli Studi di Trento). 25 indexed citations
15.
Blanzieri, Enrico & Anton Bryl. (2007). Instance-based spam filtering using SVM nearest neighbor classifier. The Florida AI Research Society. 441–442. 17 indexed citations
16.
Blanzieri, Enrico, et al.. (2005). Implicit. 618–624. 29 indexed citations
17.
Sarini, Marcello, Enrico Blanzieri, Paolo Giorgini, & Claudio Moser. (2004). From actions to affordances: supporting the work of biologists through laboratory notebooks.. Institutional Research Information System (Università degli Studi di Trento). 131–146. 2 indexed citations
18.
Blanzieri, Enrico & Francesco Ricci⋆. (1999). A Minimum Risk Metric for Nearest Neighbor Classification. Institutional Research Information System (Università degli Studi di Trento). 22–31. 8 indexed citations
19.
Avesani, Paolo & Enrico Blanzieri. (1999). Adaptation-Dependent Retrieval Problem: A Formal Definition.. 3–6. 1 indexed citations
20.
Blanzieri, Enrico, et al.. (1996). Learning Radial Basis Function Networks On-line.. Institutional Research Information System (Università degli Studi di Trento). 37–45. 10 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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