Roberto Rocci
Impact in
- Computational Mathematics top 1%
- Tensor decomposition and applications
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
Papers in
-
- Bayesian Methods and Mixture Models 16
- Advanced Clustering Algorithms Research 8
-
- Blind Source Separation Techniques 9
- Data Management and Algorithms 4
- Co-authors
- Maurizio Vichi (7 shared papers)Salvatore Ingrassia (2 shared papers)Jos M. F. ten Berge (4 shared papers)Antonello Maruotti (2 shared papers)Stefano Antonio Gattone (7 shared papers)Henk A. L. Kiers (2 shared papers)Paolo Giordani (5 shared papers)Murray Aitkin (1 shared paper)
- Journals
- Psychometrika (7 papers)Computational Statistics & Data Analysis (5 papers)Statistics and Computing (2 papers)Journal of Computational and Graphical Statistics (2 papers)Advances in Data Analysis and Classification (2 papers)
- Partner nations
- ItalyNetherlandsUnited States
In The Last Decade
Roberto Rocci
38 papers receiving 509 citations
Peers
Comparison fields: 5 of 85
- Computational Mathematics 112
- Statistics and Probability 157
- Artificial Intelligence 269
- Signal Processing 83
- Finance 34
Countries citing papers authored by Roberto Rocci
This map shows the geographic impact of Roberto Rocci'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 Roberto Rocci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Rocci more than expected).
Fields of papers citing papers by Roberto Rocci
This network shows the impact of papers produced by Roberto Rocci. 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 Roberto Rocci. The network helps show where Roberto Rocci may publish in the future.
Co-authors
The 15 scholars most cited alongside Roberto Rocci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 50 | |
| 2 | 2007 | 48 | |
| 3 | 2012 | 47 | |
| 4 | 2007 | 39 | |
| 5 | 2001 | 35 | |
| 6 | 2002 | 30 | |
| 7 | 2004 | 27 | |
| 8 | 2010 | 25 | |
| 9 | 2006 | 23 | |
| 10 | 1997 | 22 | |
| 11 | 2008 | 16 | |
| 12 | 2005 | 16 | |
| 13 | 2011 | 16 | |
| 14 | 2012 | 14 | |
| 15 | 2014 | 13 | |
| 16 | 2002 | 12 | |
| 17 | 2010 | 11 | |
| 18 | 2013 | 11 | |
| 19 | 2017 | 10 | |
| 20 | 2013 | 10 |
About Roberto Rocci
Roberto Rocci is a scholar working on Artificial Intelligence, Signal Processing, Computational Mathematics, Statistics and Probability and Finance, having authored 40 papers that have together received 539 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (16 papers), Tensor decomposition and applications (12 papers), Blind Source Separation Techniques (9 papers), Advanced Clustering Algorithms Research (8 papers), Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (5 papers), Data Management and Algorithms (4 papers) and Credit Risk and Financial Regulations (4 papers). The work is most often cited by research in Computational Mathematics (112 citations), Statistics and Probability (157 citations), Artificial Intelligence (269 citations), Signal Processing (83 citations) and Finance (34 citations). Roberto Rocci has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Maurizio Vichi, Salvatore Ingrassia, Jos M. F. ten Berge, Antonello Maruotti, Stefano Antonio Gattone, Henk A. L. Kiers, Paolo Giordani, Murray Aitkin, Nicholas D. Sidiropoulos and Simone Borra. Their work appears in journals such as Psychometrika, Computational Statistics & Data Analysis, Statistics and Computing, Journal of Computational and Graphical Statistics and Advances in Data Analysis and Classification.
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.