Manuel Ribeiro
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- Air Quality and Health Impacts
- Indoor Air Quality and Microbial Exposure
Papers in
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- Data-Driven Disease Surveillance 5
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- Spatial and Panel Data Analysis 6
- Co-authors
- Maria João Veloso da Costa Ramos Pereira (17 shared papers)Cristina Branquinho (8 shared papers)Esteve Llop (7 shared papers)Pedro Pinho (5 shared papers)A. Soares (6 shared papers)Leonardo Azevedo (6 shared papers)A. J. Sousa (3 shared papers)Amílcar Soares (1 shared paper)
In The Last Decade
Manuel Ribeiro
32 papers receiving 342 citations
Peers
Comparison fields: 5 of 87
- Modeling and Simulation 32
- Health, Toxicology and Mutagenesis 83
- Environmental Engineering 47
- Endocrinology, Diabetes and Metabolism 45
- Ecology, Evolution, Behavior and Systematics 56
Countries citing papers authored by Manuel Ribeiro
This map shows the geographic impact of Manuel Ribeiro'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 Manuel Ribeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Ribeiro more than expected).
Fields of papers citing papers by Manuel Ribeiro
This network shows the impact of papers produced by Manuel Ribeiro. 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 Manuel Ribeiro. The network helps show where Manuel Ribeiro may publish in the future.
Co-authors
The 25 scholars most cited alongside Manuel Ribeiro, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 42 | |
| 2 | 2010 | 30 | |
| 3 | 2020 | 28 | |
| 4 | 2014 | 26 | |
| 5 | 2016 | 26 | |
| 6 | 2008 | 22 | |
| 7 | 2013 | 19 | |
| 8 | 2013 | 17 | |
| 9 | 2017 | 17 | |
| 10 | 2021 | 13 | |
| 11 | 2017 | 12 | |
| 12 | [Iodine intake in Portuguese school children]. | 2012 | 10 |
| 13 | 2016 | 9 | |
| 14 | 2016 | 8 | |
| 15 | 2010 | 8 | |
| 16 | 2020 | 8 | |
| 17 | 2018 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2010 | 6 | |
| 20 | 2023 | 5 |
About Manuel Ribeiro
Manuel Ribeiro is a scholar working on Epidemiology, Economics and Econometrics, Environmental Engineering, Health, Toxicology and Mutagenesis and Modeling and Simulation, having authored 35 papers that have together received 351 indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (6 papers), COVID-19 epidemiological studies (5 papers), Air Quality and Health Impacts (5 papers), Data-Driven Disease Surveillance (5 papers), Lichen and fungal ecology (4 papers), Soil Geostatistics and Mapping (4 papers), Soil erosion and sediment transport (3 papers) and Thyroid Disorders and Treatments (3 papers). The work is most often cited by research in Modeling and Simulation (32 citations), Health, Toxicology and Mutagenesis (83 citations), Environmental Engineering (47 citations), Endocrinology, Diabetes and Metabolism (45 citations) and Ecology, Evolution, Behavior and Systematics (56 citations). Manuel Ribeiro has collaborated with scholars based in Portugal, Spain and Germany. Frequent co-authors include Maria João Veloso da Costa Ramos Pereira, Cristina Branquinho, Esteve Llop, Pedro Pinho, A. Soares, Leonardo Azevedo, A. J. Sousa, Amílcar Soares, João Jácome de Castro and Francisco Carrilho. Their work appears in journals such as Environmental Science and Pollution Research, International Journal of Health Geographics, The Science of The Total Environment, Environmental Pollution and Land Degradation and Development.
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.