Maurizio Vichi
- Molecular Biology
- Artificial Intelligence top 5%
- Oral Surgery top 2%
- Genetics top 10%
- Statistics and Probability top 2%
- Co-authors
- Henk A. L. KiersLorenzo FranchiRoberto RocciErsilia BarbatoM CaltabianoMartin SchaderRoberta LeonardiGilbert Saporta
- Topics
- Advanced Clustering Algorithms Research (19 papers)Face and Expression Recognition (15 papers)Sensory Analysis and Statistical Methods (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaDiabetesInformation Sciences
- Partner nations
- ItalyNetherlandsGermany
In The Last Decade
Maurizio Vichi
79 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 176
- Molecular Biology 433
- Artificial Intelligence 412
- Oral Surgery 245
- Genetics 224
- Statistics and Probability 169
Countries citing papers authored by Maurizio Vichi
This map shows the geographic impact of Maurizio Vichi'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 Maurizio Vichi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurizio Vichi more than expected).
Fields of papers citing papers by Maurizio Vichi
This network shows the impact of papers produced by Maurizio Vichi. 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 Maurizio Vichi. The network helps show where Maurizio Vichi may publish in the future.
Co-authorship network of co-authors of Maurizio Vichi
This figure shows the co-authorship network connecting the top 25 collaborators of Maurizio Vichi. A scholar is included among the top collaborators of Maurizio Vichi 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 Maurizio Vichi. Maurizio Vichi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 9 | |
| 11 | 16 | |
| 12 | 4 | |
| 13 | 39 | |
| 14 | 19 | |
| 15 | New Perspectives in Statistical Modeling and Data Analysis: Proceedings of the 7th Conference of the Classification and Data Analysis Group of the ... Data Analysis, and Knowledge Organization) | 1 |
| 16 | 6 | |
| 17 | 16 | |
| 18 | 125 | |
| 19 | Data Analysis, Classification and the Forward Search: Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian ... Data Analysis, and Knowledge Organization) | 3 |
| 20 | 9 |
About Maurizio Vichi
Maurizio Vichi is a scholar working on Computational Mathematics, Artificial Intelligence and Oral Surgery, having authored 85 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (19 papers), Face and Expression Recognition (15 papers) and Sensory Analysis and Statistical Methods (13 papers). The work is most often cited by research in Computational Mathematics (42 citations), Oral Surgery (245 citations) and Statistics and Probability (169 citations). Maurizio Vichi has collaborated with scholars based in Italy, Netherlands and Germany. Frequent co-authors include Henk A. L. Kiers, Lorenzo Franchi, Roberto Rocci, Ersilia Barbato, M Caltabiano, Martin Schader, Roberta Leonardi, Gilbert Saporta, Wolfgang Gaul and Hans‐Hermann Bock. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes and Information Sciences.
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.