Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Present and future Köppen-Geiger climate classification maps at 1-km resolution
20184.3k citationsHylke E. Beck, Niklaus E. Zimmermann et al.Scientific Dataprofile →
Large influence of soil moisture on long-term terrestrial carbon uptake
2019539 citationsJulia K. Green, Sonia I. Seneviratne et al.Natureprofile →
Multifaceted characteristics of dryland aridity changes in a warming world
This map shows the geographic impact of Alexis Berg'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 Alexis Berg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexis Berg more than expected).
This network shows the impact of papers produced by Alexis Berg. 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 Alexis Berg. The network helps show where Alexis Berg may publish in the future.
Co-authorship network of co-authors of Alexis Berg
This figure shows the co-authorship network connecting the top 25 collaborators of Alexis Berg.
A scholar is included among the top collaborators of Alexis Berg based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Alexis Berg. Alexis Berg is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Beck, Hylke E., Tim R. McVicar, Noemi Vergopolan, et al.. (2023). High-resolution (1 km) Köppen-Geiger maps for 1901–2099 based on constrained CMIP6 projections. Scientific Data. 10(1). 724–724.317 indexed citations breakdown →
3.
McColl, Kaighin A., Michael L. Roderick, Alexis Berg, & Jacob Scheff. (2022). The terrestrial water cycle in a warming world. Nature Climate Change. 12(7). 604–606.32 indexed citations
4.
Lian, Xu, Shilong Piao, Anping Chen, et al.. (2021). Multifaceted characteristics of dryland aridity changes in a warming world. Nature Reviews Earth & Environment. 2(4). 232–250.482 indexed citations breakdown →
5.
Humphrey, Vincent, Alexis Berg, Philippe Ciais, et al.. (2021). Soil moisture–atmosphere feedback dominates land carbon uptake variability. Nature. 592(7852). 65–69.386 indexed citations breakdown →
Green, Julia K., Sonia I. Seneviratne, Alexis Berg, et al.. (2019). Large influence of soil moisture on long-term terrestrial carbon uptake. Nature. 565(7740). 476–479.539 indexed citations breakdown →
Beck, Hylke E., Niklaus E. Zimmermann, Tim R. McVicar, et al.. (2018). Present and future Köppen-Geiger climate classification maps at 1-km resolution. Scientific Data. 5(1). 180214–180214.4326 indexed citations breakdown →
Berg, Alexis, Kirsten L. Findell, Benjamin R. Lintner, et al.. (2016). Land–atmosphere feedbacks amplify aridity increase over land under global warming. Nature Climate Change. 6(9). 869–874.362 indexed citations breakdown →
Roudier, Philippe, Benjamin Sultan, Philippe Quirion, & Alexis Berg. (2011). The impact of future climate change on West African crop yields: What does the recent literature say?. Global Environmental Change. 21(3). 1073–1083.389 indexed citations breakdown →
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.