Cristina Tortora
- Soil Science top 10%
- Agronomy and Crop Science top 5%
- Plant Science
- Ecology, Evolution, Behavior and Systematics top 10%
- General Agricultural and Biological Sciences top 2%
- Co-authors
- Ken JanovicekTor N. TolhurstAlan P. KerRalph C. MartinWilliam M. DeenAmélie C. M. GaudinPaul D. McNicholasFrancesco Palumbo
- Topics
- Bayesian Methods and Mixture Models (14 papers)Advanced Clustering Algorithms Research (8 papers)Statistical Methods and Bayesian Inference (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Statistical Software
- Partner nations
- ItalyUnited StatesCanada
In The Last Decade
Cristina Tortora
21 papers receiving 414 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Soil Science 128
- Agronomy and Crop Science 119
- Plant Science 108
- Ecology, Evolution, Behavior and Systematics 88
- General Agricultural and Biological Sciences 87
Countries citing papers authored by Cristina Tortora
This map shows the geographic impact of Cristina Tortora'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 Cristina Tortora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Tortora more than expected).
Fields of papers citing papers by Cristina Tortora
This network shows the impact of papers produced by Cristina Tortora. 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 Cristina Tortora. The network helps show where Cristina Tortora may publish in the future.
Co-authorship network of co-authors of Cristina Tortora
This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Tortora. A scholar is included among the top collaborators of Cristina Tortora 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 Cristina Tortora. Cristina Tortora 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 | 4 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | 11 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | Increasing Crop Diversity Mitigates Weather Variations and Improves Yield Stabilitybreakdown → | 301 |
| 14 | 9 | |
| 15 | 11 | |
| 16 | Mixtures of Multiple Scaled Generalized Hyperbolic Distributions | 2 |
| 17 | Model-Based Clustering Using Mixtures of Coalesced Generalized Hyperbolic Distributions | 1 |
| 18 | 2 | |
| 19 | A mathematical model of charge and discharge for lead batteries in electric road vehicles | 7 |
| 20 | 0 |
About Cristina Tortora
Cristina Tortora is a scholar working on Computational Mathematics, Statistics and Probability and Artificial Intelligence, having authored 24 papers that have together received 426 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (14 papers), Advanced Clustering Algorithms Research (8 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Soil Science (128 citations), Agronomy and Crop Science (119 citations) and General Agricultural and Biological Sciences (87 citations). Cristina Tortora has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Ken Janovicek, Tor N. Tolhurst, Alan P. Ker, Ralph C. Martin, William M. Deen, Amélie C. M. Gaudin, Paul D. McNicholas, Francesco Palumbo, Brian C. Franczak and Ryan P. Browne. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Statistical Software.
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.