Fabián P. Alvarez
Impact in
- Rheumatology top 10%
- Pelvic floor disorders treatments
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 17
- Influenza Virus Research Studies 15
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- Neural dynamics and brain function 8
- Co-authors
- Pascal Crépey (5 shared papers)Erika Wissinger (1 shared paper)Marc Barthélemy (2 shared papers)Thomas Hanslik (3 shared papers)Thierry Blanchon (3 shared papers)Camille Pelat (1 shared paper)C. Ciofu (1 shared paper)Juliette Bloch (1 shared paper)
- Journals
- Value in Health (5 papers)Vaccine (4 papers)Biosystems (3 papers)Neurocomputing (3 papers)Journal of Medical Economics (3 papers)
- Partner nations
- FranceUnited StatesUruguay
In The Last Decade
Fabián P. Alvarez
34 papers receiving 468 citations
Peers
Comparison fields: 5 of 78
- Rheumatology 124
- Modeling and Simulation 31
- Epidemiology 198
- Health 42
- Urology 25
Countries citing papers authored by Fabián P. Alvarez
This map shows the geographic impact of Fabián P. Alvarez'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 Fabián P. Alvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabián P. Alvarez more than expected).
Fields of papers citing papers by Fabián P. Alvarez
This network shows the impact of papers produced by Fabián P. Alvarez. 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 Fabián P. Alvarez. The network helps show where Fabián P. Alvarez may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabián P. Alvarez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 144 | |
| 2 | 2022 | 75 | |
| 3 | 2006 | 46 | |
| 4 | 1994 | 20 | |
| 5 | 2020 | 18 | |
| 6 | 2023 | 16 | |
| 7 | 2021 | 14 | |
| 8 | 2017 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 12 | |
| 11 | 2007 | 11 | |
| 12 | 2009 | 11 | |
| 13 | 2004 | 10 | |
| 14 | 1998 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2009 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2019 | 6 | |
| 20 | 2007 | 6 |
About Fabián P. Alvarez
Fabián P. Alvarez is a scholar working on Epidemiology, Cognitive Neuroscience, Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience and Modeling and Simulation, having authored 34 papers that have together received 484 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (15 papers), Neural dynamics and brain function (8 papers), stochastic dynamics and bifurcation (5 papers), Neuroscience and Neural Engineering (4 papers), COVID-19 epidemiological studies (4 papers), Vaccine Coverage and Hesitancy (3 papers), Nonlinear Dynamics and Pattern Formation (2 papers) and Bacterial Infections and Vaccines (2 papers). The work is most often cited by research in Rheumatology (124 citations), Modeling and Simulation (31 citations), Epidemiology (198 citations), Health (42 citations) and Urology (25 citations). Fabián P. Alvarez has collaborated with scholars based in France, United States and Uruguay. Frequent co-authors include Pascal Crépey, Erika Wissinger, Marc Barthélemy, Thomas Hanslik, Thierry Blanchon, Camille Pelat, C. Ciofu, Juliette Bloch, Andréa Lasserre and Emmanuel Chartier‐Kastler. Their work appears in journals such as Value in Health, Vaccine, Biosystems, Neurocomputing and Journal of Medical Economics.
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.