Laura Forastiere
- Sociology and Political Science
- Cognitive Neuroscience
- Statistics and Probability top 10%
- Epidemiology
- Health
- Co-authors
- Fabrizia MealliTyler J. VanderWeeleNavin KumarFabio BabiloniPeng DingEmanuele MaioranaAlessandra MatteiStefania Colonnese
- Topics
- Advanced Causal Inference Techniques (13 papers)HIV, Drug Use, Sexual Risk (8 papers)HIV/AIDS Research and Interventions (7 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Laura Forastiere
30 papers receiving 255 citations
Peers
Comparison fields: 5 of 80
- Sociology and Political Science 54
- Cognitive Neuroscience 47
- Statistics and Probability 46
- Epidemiology 37
- Health 36
Countries citing papers authored by Laura Forastiere
This map shows the geographic impact of Laura Forastiere'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 Forastiere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Forastiere more than expected).
Fields of papers citing papers by Laura Forastiere
This network shows the impact of papers produced by Laura Forastiere. 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 Forastiere. The network helps show where Laura Forastiere may publish in the future.
Co-authorship network of co-authors of Laura Forastiere
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Forastiere. A scholar is included among the top collaborators of Laura Forastiere 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 Forastiere. Laura Forastiere 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 23 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 19 | |
| 19 | 7 | |
| 20 | 27 |
About Laura Forastiere
Laura Forastiere is a scholar working on Statistics and Probability, Health and Modeling and Simulation, having authored 40 papers that have together received 259 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (13 papers), HIV, Drug Use, Sexual Risk (8 papers) and HIV/AIDS Research and Interventions (7 papers). The work is most often cited by research in Statistics and Probability (46 citations), Health (36 citations) and Cognitive Neuroscience (47 citations). Laura Forastiere has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Fabrizia Mealli, Tyler J. VanderWeele, Navin Kumar, Fabio Babiloni, Peng Ding, Emanuele Maiorana, Alessandra Mattei, Stefania Colonnese, Gaetano Scarano and Patrizio Campisi. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.