Magda Monteiro
Impact in
- Soil Science top 10%
- Soil erosion and sediment transport
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Distribution Estimation and Applications
Papers in
-
- Statistical Methods and Inference 3
- Finance 4
- Financial Risk and Volatility Modeling 4
- Co-authors
- Isabel Pereira (5 shared papers)Manuel G. Scotto (4 shared papers)Jan Jacob Keizer (1 shared paper)António Ferreira (1 shared paper)C. O. A. Coelho (1 shared paper)Sérgio Prats (1 shared paper)Lee H. MacDonald (1 shared paper)Marco Costa (8 shared papers)
- Journals
- Journal of Statistical Planning and Inference (2 papers)International Journal of STD & AIDS (1 paper)Geoderma (1 paper)Infection and Immunity (1 paper)Neural Computing and Applications (1 paper)
- Partner nations
- PortugalUnited StatesSweden
In The Last Decade
Magda Monteiro
16 papers receiving 298 citations
Peers
Comparison fields: 5 of 67
- Soil Science 96
- Statistics and Probability 81
- Finance 82
- Earth-Surface Processes 52
- Global and Planetary Change 120
Countries citing papers authored by Magda Monteiro
This map shows the geographic impact of Magda Monteiro'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 Magda Monteiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magda Monteiro more than expected).
Fields of papers citing papers by Magda Monteiro
This network shows the impact of papers produced by Magda Monteiro. 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 Magda Monteiro. The network helps show where Magda Monteiro may publish in the future.
Co-authors
The 25 scholars most cited alongside Magda Monteiro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 136 | |
| 2 | 2012 | 49 | |
| 3 | 2009 | 41 | |
| 4 | 2010 | 22 | |
| 5 | 2018 | 20 | |
| 6 | 2008 | 10 | |
| 7 | 2016 | 9 | |
| 8 | 2020 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2018 | 3 | |
| 11 | 2015 | 2 | |
| 12 | 2019 | 1 | |
| 13 | 2015 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2012 | 1 | |
| 16 | 2012 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2020 | 0 | |
| 19 | 2019 | 0 |
About Magda Monteiro
Magda Monteiro is a scholar working on Statistics and Probability, Finance, Environmental Engineering, Global and Planetary Change and Management Science and Operations Research, having authored 19 papers that have together received 305 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (4 papers), Forecasting Techniques and Applications (3 papers), Hydrological Forecasting Using AI (3 papers), Statistical Methods and Inference (3 papers), Climate variability and models (3 papers), Advanced Statistical Process Monitoring (2 papers), Water Quality and Pollution Assessment (2 papers) and Precipitation Measurement and Analysis (2 papers). The work is most often cited by research in Soil Science (96 citations), Statistics and Probability (81 citations), Finance (82 citations), Earth-Surface Processes (52 citations) and Global and Planetary Change (120 citations). Magda Monteiro has collaborated with scholars based in Portugal, United States and Sweden. Frequent co-authors include Isabel Pereira, Manuel G. Scotto, Jan Jacob Keizer, António Ferreira, C. O. A. Coelho, Sérgio Prats, Lee H. MacDonald, Marco Costa, E M Fenyö and Fredrik Månsson. Their work appears in journals such as Journal of Statistical Planning and Inference, International Journal of STD & AIDS, Geoderma, Infection and Immunity and Neural Computing and Applications.
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.