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.
IAHS Decade on Predictions in Ungauged Basins (PUB), 2003–2012: Shaping an exciting future for the hydrological sciences
2003976 citationsDaniel Schertzer et al.Hydrological Sciences Journalprofile →
Physical modeling and analysis of rain and clouds by anisotropic scaling multiplicative processes
1987875 citationsDaniel Schertzer, S. Lovejoyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Daniel Schertzer
Since
Specialization
Citations
This map shows the geographic impact of Daniel Schertzer'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 Daniel Schertzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schertzer more than expected).
Fields of papers citing papers by Daniel Schertzer
This network shows the impact of papers produced by Daniel Schertzer. 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 Daniel Schertzer. The network helps show where Daniel Schertzer may publish in the future.
Co-authorship network of co-authors of Daniel Schertzer
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Schertzer.
A scholar is included among the top collaborators of Daniel Schertzer 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 Daniel Schertzer. Daniel Schertzer is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ichiba, Abdellah, et al.. (2018). Hydrological responses to small scale rainfall variability over a semi-urban catchment using Multi-Hydro model: C-band vs. X-band radar data. SPIRE - Sciences Po Institutional REpository.1 indexed citations
9.
Möller, Tim, Ioulia Tchiguirinskaia, Daniel Schertzer, et al.. (2018). Multifractal structure of storm Eleanor in France and predictions of the extremes. SPIRE - Sciences Po Institutional REpository.1 indexed citations
10.
Lovejoy, S., et al.. (2009). Aircraft measurements of the horizontal multiplicative cascade structure of the atmosphere. EGUGA. 9052.1 indexed citations
11.
Lovejoy, S., et al.. (2007). Scaling and Extremes in precipitation and streamflow. AGU Spring Meeting Abstracts. 2007.1 indexed citations
12.
Tchiguirinskaia, Ioulia, et al.. (2004). Multiscaling geophysics and sustainable development. IAHS-AISH publication. 113–136.5 indexed citations
13.
Lovejoy, S., et al.. (2004). Monte-Carlo and Sparse Matrix Radiative Transfer Calculations on Multifractal Clouds: Flux Tubes and Singularities. AGUSM. 2004.
14.
Lilley, M., K. B. Strawbridge, S. Lovejoy, & Daniel Schertzer. (2003). Direct Lidar Evidence for the Anisotropic Scaling of Atmospheric Passive Scalar Variability. EGS - AGU - EUG Joint Assembly. 11589.1 indexed citations
15.
Hallegatte, Stéphane, et al.. (2002). Multifractality and Universal Law of The Extremes: Frechet Vs. Gumbel, and Beyond.... EGSGA. 6244.1 indexed citations
16.
Hubert, P., H. Bendjoudi, Daniel Schertzer, & S. Lovejoy. (2002). Multifractal Taming of Extreme Hydrometeorological Events. IAHS-AISH publication. 51–56.6 indexed citations
Schertzer, Daniel & S. Lovejoy. (1985). Generalised scale invariance in rotating and stratified turbulent flows.2 indexed citations
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.