Laura Ventura
- Statistics and Probability top 1%
- Cancer Research top 5%
- Rehabilitation top 1%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Ambrogio FassinaRocco CappellessoWalter RacugnoAndrea TurollaPaolo ToninMichela AgostiniPaweł KiperVincenza Guzzardo
- Topics
- Advanced Statistical Methods and Models (32 papers)Statistical Methods and Inference (28 papers)Statistical Methods and Bayesian Inference (27 papers)
- Partner nations
- ItalyUnited KingdomSpain
In The Last Decade
Laura Ventura
98 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 159
- Statistics and Probability 377
- Cancer Research 371
- Rehabilitation 346
- Surgery 305
- Pulmonary and Respiratory Medicine 304
Countries citing papers authored by Laura Ventura
This map shows the geographic impact of Laura Ventura'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 Laura Ventura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Ventura more than expected).
Fields of papers citing papers by Laura Ventura
This network shows the impact of papers produced by Laura Ventura. 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 Laura Ventura. The network helps show where Laura Ventura may publish in the future.
Co-authorship network of co-authors of Laura Ventura
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Ventura. A scholar is included among the top collaborators of Laura Ventura 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 Laura Ventura. Laura Ventura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 14 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 66 | |
| 15 | Marginal posterior simulation via higher-order tail area approximations | 6 |
| 16 | Modern Bayesian Inference in Zero-Inflated Poisson Models | 1 |
| 17 | 66 | |
| 18 | A note on the relationships between Bayesian and non-Bayesian predictive inference | 1 |
| 19 | Factors associated with AIP expression in somatotropinomas and the possible influence of somatostatin analogues | 0 |
| 20 | 11 |
About Laura Ventura
Laura Ventura is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Speech and Hearing, having authored 109 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (32 papers), Statistical Methods and Inference (28 papers) and Statistical Methods and Bayesian Inference (27 papers). The work is most often cited by research in Rehabilitation (346 citations), Statistics and Probability (377 citations) and Cancer Research (371 citations). Laura Ventura has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Ambrogio Fassina, Rocco Cappellesso, Walter Racugno, Andrea Turolla, Paolo Tonin, Michela Agostini, Paweł Kiper, Vincenza Guzzardo, Matteo Fassan and Mauro Dam. Their work appears in journals such as Journal of the American Statistical Association, Blood 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.