André Python

1.0k citations
33 papers · 689 · h-index 13

Impact in

Papers in

André Python

31 papers receiving 675 citations

Peers

André Python
Comparison fields: 5 of 165
  • Atmospheric Science 88
  • Modeling and Simulation 17
  • Global and Planetary Change 71
  • Biomaterials 39
  • Research and Theory 2
Replace Yeonjin Lee with:
Yeonjin Lee South Korea
Yanjun Wang China
Maëlle Salmon Mexico
Xinyi Niu China
James B. Brown United States
Christian Otto Germany
Brian Owens United States
Pavlos Pavlou Cyprus
Christopher Martin United States
Jingjing Li China
André Python relative to Yeonjin Lee South Korea Yeonjin Lee's profile →
Citations per field
00.5×2.8×
Yeonjin Lee · 1×
Citations per year

Countries citing papers authored by André Python

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with André Python Line = papers co-authored together André Python links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019213
2 2019111
3 202154
4 202139
5 202232
6 201822
7 201722
8 202121
9 202220
10 202219
11 202116
12 202015
13 202014
14 202311
15 202310
16 202110
17 20098
18 20207
19 20236
20 20215

About André Python

André Python is a scholar working on Sociology and Political Science, Epidemiology, Artificial Intelligence, Atmospheric Science and Global and Planetary Change, having authored 33 papers that have together received 689 indexed citations. Recurring topics across this work include Terrorism, Counterterrorism, and Political Violence (6 papers), Political Conflict and Governance (4 papers), Data-Driven Disease Surveillance (4 papers), COVID-19 epidemiological studies (4 papers), Climate variability and models (3 papers), Crime Patterns and Interventions (2 papers), Precipitation Measurement and Analysis (2 papers) and Cryospheric studies and observations (2 papers). The work is most often cited by research in Atmospheric Science (88 citations), Modeling and Simulation (17 citations), Global and Planetary Change (71 citations), Biomaterials (39 citations) and Research and Theory (2 citations). André Python has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Jouni Hirvonen, Hélder A. Santos, Zehua Liu, Guoyong Leng, Linfei Yu, Catherine L. Moyes, Flavia Fontana, Peter W. Gething, Daniel J. Weiss and Harry S. Gibson. Their work appears in journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Small, Journal of Geophysical Research Solid Earth, Biodiversity and Conservation and Political Geography.

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.

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