André Python
Impact in
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- Precipitation Measurement and Analysis
- Meteorological Phenomena and Simulations
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- Climate variability and models
Papers in
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- Terrorism, Counterterrorism, and Political Violence 7
- Political Conflict and Governance 4
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- Precipitation Measurement and Analysis 2
- Co-authors
- Hélder A. Santos (3 shared papers)Zehua Liu (3 shared papers)Linfei Yu (5 shared papers)Guoyong Leng (4 shared papers)Catherine L. Moyes (2 shared papers)Flavia Fontana (2 shared papers)Daniel J. Weiss (4 shared papers)Peter W. Gething (5 shared papers)
- Journals
- Journal of the Royal Statistical Society Series A (Statistics in Society) (3 papers)Small (2 papers)Journal of Medical Internet Research (1 paper)Political Geography (1 paper)Advanced Drug Delivery Reviews (1 paper)
- Partner nations
- ChinaUnited KingdomGermany
In The Last Decade
André Python
32 papers receiving 721 citations
Peers
Comparison fields: 5 of 160
- Atmospheric Science 90
- Global and Planetary Change 73
- Modeling and Simulation 14
- Biomaterials 40
- Health Informatics 4
Countries citing papers authored by André Python
This map shows the geographic impact of André Python'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 André Python with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Python more than expected).
Fields of papers citing papers by André Python
This network shows the impact of papers produced by André Python. 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 André Python. The network helps show where André Python may publish in the future.
Co-authors
The 25 scholars most cited alongside André Python, 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 | 2019 | 227 | |
| 2 | 2019 | 118 | |
| 3 | 2021 | 56 | |
| 4 | 2021 | 42 | |
| 5 | 2022 | 33 | |
| 6 | 2022 | 23 | |
| 7 | 2018 | 22 | |
| 8 | 2021 | 22 | |
| 9 | 2022 | 22 | |
| 10 | 2017 | 22 | |
| 11 | 2021 | 17 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2023 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2023 | 8 | |
| 18 | 2009 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2025 | 7 |
About André Python
André Python is a scholar working on Sociology and Political Science, Atmospheric Science, Global and Planetary Change, Modeling and Simulation and Artificial Intelligence, having authored 34 papers that have together received 739 indexed citations. Recurring topics across this work include Terrorism, Counterterrorism, and Political Violence (7 papers), COVID-19 epidemiological studies (5 papers), Political Conflict and Governance (4 papers), Climate variability and models (3 papers), Precipitation Measurement and Analysis (2 papers), Quantum Computing Algorithms and Architecture (2 papers), Land Use and Ecosystem Services (2 papers) and Data-Driven Disease Surveillance (2 papers). The work is most often cited by research in Atmospheric Science (90 citations), Global and Planetary Change (73 citations), Modeling and Simulation (14 citations), Biomaterials (40 citations) and Health Informatics (4 citations). André Python has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Hélder A. Santos, Zehua Liu, Linfei Yu, Guoyong Leng, Catherine L. Moyes, Flavia Fontana, Daniel J. Weiss, Peter W. Gething, Harry S. Gibson and Penny Hancock. Their work appears in journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Small, Journal of Medical Internet Research, Political Geography and Advanced Drug Delivery Reviews.
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.