Enrico Blanzieri
- Artificial Intelligence top 2%
- Information Systems top 2%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Anton BrylFarid MelganiAndrea MalossiniNicola SegataLuca PasolliTommaso CalarcoPaolo GiorginiCarmen Maria Livi
- Topics
- Quantum Computing Algorithms and Architecture (10 papers)Bioinformatics and Genomic Networks (10 papers)Gene expression and cancer classification (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- ItalyChinaUnited States
In The Last Decade
Enrico Blanzieri
83 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 152
- Artificial Intelligence 733
- Information Systems 389
- Molecular Biology 273
- Computer Vision and Pattern Recognition 250
- Computer Networks and Communications 222
Countries citing papers authored by Enrico Blanzieri
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | TN-Grid and gene@home project: volunteer computing for bioinformatics | 6 |
| 7 | 19 | |
| 8 | 3 | |
| 9 | 41 | |
| 10 | 31 | |
| 11 | 91 | |
| 12 | Fast and Scalable Local Kernel Machines | 46 |
| 13 | Evaluation of the Highest Probability SVM Nearest Neighbor Classifier with Variable Relative Error Cost | 25 |
| 14 | Instance-based spam filtering using SVM nearest neighbor classifier | 17 |
| 15 | 29 | |
| 16 | From actions to affordances: supporting the work of biologists through laboratory notebooks. | 2 |
| 17 | 16 | |
| 18 | A Minimum Risk Metric for Nearest Neighbor Classification | 8 |
| 19 | Adaptation-Dependent Retrieval Problem: A Formal Definition. | 1 |
| 20 | Learning Radial Basis Function Networks On-line. | 10 |
About Enrico Blanzieri
Enrico Blanzieri is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 89 papers that have together received 1.7k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (10 papers), Bioinformatics and Genomic Networks (10 papers) and Gene expression and cancer classification (9 papers). The work is most often cited by research in Media Technology (210 citations), Artificial Intelligence (733 citations) and Information Systems (389 citations). Enrico Blanzieri has collaborated with scholars based in Italy, China and United States. Frequent co-authors include Anton Bryl, Farid Melgani, Andrea Malossini, Nicola Segata, Luca Pasolli, Farid Melgani, Tommaso Calarco, Paolo Giorgini, Carmen Maria Livi and Raymond T. Ng. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.