André Python
Impact in
- Atmospheric Science top 10%
- Precipitation Measurement and Analysis
Papers in
-
- Precipitation Measurement and Analysis 2
- Climate change and permafrost 2
-
- COVID-19 epidemiological studies 2
- Co-authors
- Hélder A. Santos (3 shared papers)Zehua Liu (3 shared papers)Jouni J. Hirvonen (3 shared papers)Guoyong Leng (4 shared papers)Linfei Yu (5 shared papers)Catherine L. Moyes (2 shared papers)Dan 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)Science Advances (1 paper)Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)PLoS neglected tropical diseases (1 paper)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
André Python
33 papers receiving 811 citations
Peers
Comparison fields: 5 of 137
- Health Informatics 14
- Atmospheric Science 77
- Biomaterials 45
- Pharmaceutical Science 16
- Biomedical Engineering 77
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 | 230 | |
| 2 | 2019 | 122 | |
| 3 | 2021 | 61 | |
| 4 | 2021 | 48 | |
| 5 | 2022 | 34 | |
| 6 | 2020 | 30 | |
| 7 | 2021 | 25 | |
| 8 | 2022 | 23 | |
| 9 | 2022 | 23 | |
| 10 | 2017 | 22 | |
| 11 | 2018 | 21 | |
| 12 | 2021 | 20 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 15 | |
| 15 | 2023 | 14 | |
| 16 | 2025 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2021 | 11 | |
| 19 | 2025 | 11 | |
| 20 | 2023 | 10 |
About André Python
André Python is a scholar working on Atmospheric Science, Modeling and Simulation, Sociology and Political Science, Artificial Intelligence and Infectious Diseases, having authored 34 papers that have together received 826 indexed citations. Recurring topics across this work include Terrorism, Counterterrorism, and Political Violence (7 papers), Malaria Research and Control (3 papers), Precipitation Measurement and Analysis (2 papers), Tuberculosis Research and Epidemiology (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Climate change and permafrost (2 papers), COVID-19 epidemiological studies (2 papers) and Quantum Computing Algorithms and Architecture (2 papers). The work is most often cited by research in Health Informatics (14 citations), Atmospheric Science (77 citations), Biomaterials (45 citations), Pharmaceutical Science (16 citations) and Biomedical Engineering (77 citations). André Python has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Hélder A. Santos, Zehua Liu, Jouni J. Hirvonen, Guoyong Leng, Linfei Yu, Catherine L. Moyes, Dan J. Weiss, Peter W. Gething, Flavia Fontana and Anton Vrieling. Their work appears in journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Small, Science Advances, Journal of the Royal Statistical Society Series C (Applied Statistics) and PLoS neglected tropical diseases.
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.