Antonio Lijoi
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 33
- Statistical Methods and Bayesian Inference 25
- Statistical Distribution Estimation and Applications 13
- Artificial Intelligence top 1%
- Bayesian Methods and Mixture Models 67
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics 13
- Mathematical Dynamics and Fractals 4
- Finance top 5%
- Financial Risk and Volatility Modeling 5
- Applied Mathematics top 10%
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- Diffusion and Search Dynamics 6
- Co-authors
- Igor PrünsterRamsés H. MenaEugenio RegazziniLancelot F. JamesStefano FavaroStephen G. WalkerPierpaolo De BlasiFabrizio Leisen
- Journals
- Journal of the American Statistical Association (5 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Biometrics (2 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Antonio Lijoi
70 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 80
- Statistics and Probability 914
- Artificial Intelligence 1.2k
- Mathematical Physics 220
- Finance 173
- Applied Mathematics 56
Countries citing papers authored by Antonio Lijoi
This map shows the geographic impact of Antonio Lijoi'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 Antonio Lijoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Lijoi more than expected).
Fields of papers citing papers by Antonio Lijoi
This network shows the impact of papers produced by Antonio Lijoi. 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 Antonio Lijoi. The network helps show where Antonio Lijoi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Antonio Lijoi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 7 | |
| 4 | 2022 | 12 | |
| 5 | 2021 | 10 | |
| 6 | 2020 | 2 | |
| 7 | 2019 | 26 | |
| 8 | 2017 | 12 | |
| 9 | Modeling with normalized random measure mixture models | 2014 | 4 |
| 10 | 2014 | 12 | |
| 11 | 2013 | 19 | |
| 12 | 2012 | 24 | |
| 13 | 2010 | 22 | |
| 14 | Distributional Properties of Means of Random Probability Measures | 2009 | 1 |
| 15 | Models beyond the Dirichlet process | 2009 | 5 |
| 16 | Investigating nonparametric priors with Gibbs structure | 2008 | 23 |
| 17 | 2007 | 25 | |
| 18 | Baysian inference via classes of normalized random measures | 2005 | 1 |
| 19 | 2003 | 4 | |
| 20 | 2000 | 1 |
About Antonio Lijoi
Antonio Lijoi is a scholar working on Statistics and Probability, Artificial Intelligence and Mathematical Physics, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (67 papers), Statistical Methods and Inference (33 papers), Statistical Methods and Bayesian Inference (25 papers), Statistical Distribution Estimation and Applications (13 papers), Stochastic processes and statistical mechanics (13 papers), Diffusion and Search Dynamics (6 papers), Financial Risk and Volatility Modeling (5 papers) and Mathematical Dynamics and Fractals (4 papers). The work is most often cited by research in Statistics and Probability (914 citations), Artificial Intelligence (1.2k citations) and Mathematical Physics (220 citations). Antonio Lijoi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Igor Prünster, Ramsés H. Mena, Eugenio Regazzini, Lancelot F. James, Stefano Favaro, Stephen G. Walker, Pierpaolo De Blasi, Fabrizio Leisen, Antonio Canale and Leonardo Bottolo. Their work appears in journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Biometrics.
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.