Enrico Blanzieri

153 total papers · 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, Luca Pasolli, Farid Melgani, 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Enrico Blanzieri 732 388 271 250 222 89 1.7k
Renchu Guan 815 1.1× 318 0.8× 244 0.9× 356 1.4× 86 0.4× 101 1.8k
Yangyong Zhu 657 0.9× 396 1.0× 99 0.4× 255 1.0× 151 0.7× 65 1.7k
Tomás F. Pena 637 0.9× 303 0.8× 266 1.0× 216 0.9× 301 1.4× 103 2.0k
Carlos J. Alonso 911 1.2× 177 0.5× 226 0.8× 368 1.5× 89 0.4× 47 1.9k
Wei Zhao 829 1.1× 324 0.8× 67 0.2× 438 1.8× 178 0.8× 110 1.6k
Asdrúbal López‐Chau 627 0.9× 172 0.4× 110 0.4× 364 1.5× 134 0.6× 61 2.1k
Shengwei Tian 623 0.9× 263 0.7× 121 0.4× 710 2.8× 172 0.8× 136 1.9k
Lichuan Gu 389 0.5× 235 0.6× 71 0.3× 298 1.2× 213 1.0× 55 1.4k
Francisco F. Rivera 525 0.7× 134 0.3× 121 0.4× 223 0.9× 275 1.2× 89 1.9k
Qian Li 678 0.9× 300 0.8× 80 0.3× 369 1.5× 268 1.2× 228 2.3k

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

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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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