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.
Causes and Predictability of the 2012 Great Plains Drought
2013419 citationsMartin P. Hoerling, Jon Eischeid et al.Bulletin of the American Meteorological Societyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Annarita Mariotti
Since
Specialization
Citations
This map shows the geographic impact of Annarita Mariotti'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 Annarita Mariotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annarita Mariotti more than expected).
Fields of papers citing papers by Annarita Mariotti
This network shows the impact of papers produced by Annarita Mariotti. 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 Annarita Mariotti. The network helps show where Annarita Mariotti may publish in the future.
Co-authorship network of co-authors of Annarita Mariotti
This figure shows the co-authorship network connecting the top 25 collaborators of Annarita Mariotti.
A scholar is included among the top collaborators of Annarita Mariotti 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 Annarita Mariotti. Annarita Mariotti is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mariotti, Annarita, Jacky Croke, Rebecca Bartley, et al.. (2020). Controlling variables of denudation across catchments draining to the Great Barrier Reef. AGU Fall Meeting Abstracts. 2020.1 indexed citations
Archambault, Heather M., Jin Huang, Ben P. Kirtman, Annarita Mariotti, & Gabriele Villarini. (2019). Special issue: NMME. Climate Dynamics. 53(12). 7151–7151.2 indexed citations
Guémas, Virginie, Javier García‐Serrano, Annarita Mariotti, Francisco J. Doblas‐Reyes, & Louis‐Philippe Caron. (2014). Prospects for decadal climate prediction in the Mediterranean region. Quarterly Journal of the Royal Meteorological Society. 141(687). 580–597.18 indexed citations
11.
Huang, Jin, Annarita Mariotti, J. L. Kinter, & Arun Kumar. (2014). Preface to CFSv2 topical collection. Climate Dynamics. 43(7-8). 2309–2309.
12.
Hoerling, Martin P., Jon Eischeid, Arun Kumar, et al.. (2013). Causes and Predictability of the 2012 Great Plains Drought. Bulletin of the American Meteorological Society. 95(2). 269–282.419 indexed citations breakdown →
13.
Mariotti, Annarita, Yude Pan, Ning Zeng, & Andrea Alessandri. (2012). Climate change projections for the Mediterranean region. AGU Fall Meeting Abstracts. 2012.2 indexed citations
Sánchez-Gómez, Emilia, Samuel Somot, & Annarita Mariotti. (2009). Future changes in the Mediterranean water budget projected by an ensemble of Regional Climate Models.
Zeng, Ning, Jin‐Ho Yoon, Annarita Mariotti, & Sean Swenson. (2006). Long-term soil moisture variability from a new P-E water budget method. AGUSM. 2007.1 indexed citations
Derenne, Sylvie, Claude Largeau, Denise Pons, et al.. (2000). [Lipids from fossil plants and their relation to modern plants. Example s of Cenomanian flora from Anjou and Bohemia].. PubMed. 194(2). 57–64.2 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.