Amanda Fernández‐Fontelo
- Co-authors
- Pedro PuigDavid MoriñaCyrille DelpierreCarme BorrellMaria de Fátima de PinaOlivier DejardinRoberto LilliniCarole Pornet
- Topics
- COVID-19 epidemiological studies (5 papers)Animal Disease Management and Epidemiology (5 papers)Mobile Crowdsensing and Crowdsourcing (3 papers)
- Partner nations
- SpainGermanyUnited States
In The Last Decade
Amanda Fernández‐Fontelo
17 papers receiving 259 citations
Peers
Comparison fields: 5 of 90
- Health 63
- Oncology 48
- Epidemiology 46
- Sociology and Political Science 38
- General Health Professions 32
Countries citing papers authored by Amanda Fernández‐Fontelo
This map shows the geographic impact of Amanda Fernández‐Fontelo'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 Amanda Fernández‐Fontelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda Fernández‐Fontelo more than expected).
Fields of papers citing papers by Amanda Fernández‐Fontelo
This network shows the impact of papers produced by Amanda Fernández‐Fontelo. 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 Amanda Fernández‐Fontelo. The network helps show where Amanda Fernández‐Fontelo may publish in the future.
Co-authorship network of co-authors of Amanda Fernández‐Fontelo
This figure shows the co-authorship network connecting the top 25 collaborators of Amanda Fernández‐Fontelo. A scholar is included among the top collaborators of Amanda Fernández‐Fontelo 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 Amanda Fernández‐Fontelo. Amanda Fernández‐Fontelo 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 6 | |
| 13 | 26 | |
| 14 | 7 | |
| 15 | Enhancing syndromic surveillance for fallen dairy cattle: modelling and detecting mortality peaks at different administrative levels | 1 |
| 16 | 7 | |
| 17 | 10 | |
| 18 | 23 | |
| 19 | 140 | |
| 20 | Development of new strategies to model bovine fallen stock data from large and small subpopulations for syndromic surveillance use | 5 |
About Amanda Fernández‐Fontelo
Amanda Fernández‐Fontelo is a scholar working on Modeling and Simulation, Computer Science Applications and Agronomy and Crop Science, having authored 20 papers that have together received 259 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Animal Disease Management and Epidemiology (5 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Health (63 citations), Modeling and Simulation (29 citations) and Statistics and Probability (18 citations). Amanda Fernández‐Fontelo has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Pedro Puig, David Moriña, Cyrille Delpierre, Carme Borrell, Maria de Fátima de Pina, Olivier Dejardin, Roberto Lillini, Carole Pornet, Marc Marí-Dell’Olmo and Élodie Guillaume. Their work appears in journals such as PLoS ONE, Statistics in Medicine and Journal of Epidemiology & Community Health.
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.