Anna Gottard
- Statistics and Probability top 5%
- Demography top 10%
- Gender Studies
- Artificial Intelligence
- Epidemiology
- Co-authors
- Alan AgrestiDaniele VignoliLetizia MencariniRiccardo BraviDiego MinciacchiMaria IannarioDomenico PiccoloGiovanni M. Marchetti
- Topics
- Statistical Methods and Bayesian Inference (12 papers)Advanced Statistical Methods and Models (7 papers)Bayesian Modeling and Causal Inference (6 papers)
- Journals
- International Journal of Sports MedicineJournal of the Royal Statistical Society Series A (Statistics in Society)European Journal of Epidemiology
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Anna Gottard
25 papers receiving 239 citations
Peers
Comparison fields: 5 of 103
- Statistics and Probability 63
- Demography 54
- Gender Studies 37
- Artificial Intelligence 30
- Epidemiology 29
Countries citing papers authored by Anna Gottard
This map shows the geographic impact of Anna Gottard'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 Anna Gottard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Gottard more than expected).
Fields of papers citing papers by Anna Gottard
This network shows the impact of papers produced by Anna Gottard. 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 Anna Gottard. The network helps show where Anna Gottard may publish in the future.
Co-authorship network of co-authors of Anna Gottard
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Gottard. A scholar is included among the top collaborators of Anna Gottard 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 Anna Gottard. Anna Gottard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 17 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 55 | |
| 10 | 29 | |
| 11 | Graphical log-linear models for homologous factors | 1 |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 26 | |
| 15 | A chain graph multilevel model for the analysis of graduates' employment | 1 |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 15 | |
| 20 | 20 |
About Anna Gottard
Anna Gottard is a scholar working on Statistics and Probability, Physical Therapy, Sports Therapy and Rehabilitation and Artificial Intelligence, having authored 26 papers that have together received 256 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (12 papers), Advanced Statistical Methods and Models (7 papers) and Bayesian Modeling and Causal Inference (6 papers). The work is most often cited by research in Statistics and Probability (63 citations), Computational Mathematics (3 citations) and Demography (54 citations). Anna Gottard has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Alan Agresti, Daniele Vignoli, Letizia Mencarini, Riccardo Bravi, Diego Minciacchi, Maria Iannario, Domenico Piccolo, Giovanni M. Marchetti, Alessio Martinelli and Annibale Biggeri. Their work appears in journals such as International Journal of Sports Medicine, Journal of the Royal Statistical Society Series A (Statistics in Society) and European Journal of Epidemiology.
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.