A. Verdin

1.7k total citations · 1 hit paper
19 papers, 1.2k citations indexed

About

A. Verdin is a scholar working on Global and Planetary Change, Atmospheric Science and Pollution. According to data from OpenAlex, A. Verdin has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 9 papers in Atmospheric Science and 3 papers in Pollution. Recurrent topics in A. Verdin's work include Meteorological Phenomena and Simulations (9 papers), Climate variability and models (7 papers) and Precipitation Measurement and Analysis (5 papers). A. Verdin is often cited by papers focused on Meteorological Phenomena and Simulations (9 papers), Climate variability and models (7 papers) and Precipitation Measurement and Analysis (5 papers). A. Verdin collaborates with scholars based in United States and Argentina. A. Verdin's co-authors include Chris Funk, Pete Peterson, G. J. Husak, Diego Pedreros, Joel Michaelsen, M. F. Landsfeld, Balaji Rajagopalan, James Rowland, J. P. Verdin and William Kleiber and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Water Resources Research and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

A. Verdin

18 papers receiving 1.2k citations

Hit Papers

A quasi-global precipitation time series for drought moni... 2014 2026 2018 2022 2014 100 200 300 400 500
What are hit papers?

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.

  1. A quasi-global precipitation time series for drought monitoring
    2014 594 citations Chris Funk, Pete Peterson et al. Data series profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. Verdin United States 11 805 551 235 152 114 19 1.2k
Peter Uhe United Kingdom 16 874 1.1× 527 1.0× 257 1.1× 196 1.3× 91 0.8× 27 1.3k
Vittal Hari India 21 1.3k 1.6× 722 1.3× 300 1.3× 166 1.1× 178 1.6× 40 1.6k
María Cleofé Valverde Brazil 12 659 0.8× 383 0.7× 248 1.1× 280 1.8× 104 0.9× 32 1.2k
Gillian Kay United Kingdom 13 690 0.9× 395 0.7× 199 0.8× 64 0.4× 148 1.3× 24 1.0k
Claudine Pereira Dereczynski Brazil 15 777 1.0× 377 0.7× 395 1.7× 132 0.9× 80 0.7× 42 1.2k
Jorge Luís Gomes Brazil 13 911 1.1× 427 0.8× 459 2.0× 117 0.8× 104 0.9× 30 1.4k
Rowan Fealy Ireland 19 929 1.2× 601 1.1× 335 1.4× 283 1.9× 107 0.9× 63 1.4k
Josiane F. Bustamante Brazil 8 775 1.0× 354 0.6× 383 1.6× 98 0.6× 89 0.8× 14 1.1k
Muhammad Ismail Saudi Arabia 14 937 1.2× 602 1.1× 169 0.7× 89 0.6× 230 2.0× 23 1.2k
ChunYuan Wang China 2 799 1.0× 308 0.6× 369 1.6× 152 1.0× 102 0.9× 3 1.1k

Countries citing papers authored by A. Verdin

Since Specialization
Citations

This map shows the geographic impact of A. Verdin'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 A. Verdin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Verdin more than expected).

Fields of papers citing papers by A. Verdin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Verdin. 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 A. Verdin. The network helps show where A. Verdin may publish in the future.

Co-authorship network of co-authors of A. Verdin

This figure shows the co-authorship network connecting the top 25 collaborators of A. Verdin. A scholar is included among the top collaborators of A. Verdin 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 A. Verdin. A. Verdin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Gangopadhyay, Subhrendu, et al.. (2025). wxgenR: An R package for stochastic weather generation with seasonality. SoftwareX. 31. 102209–102209.
2.
3.
Tuholske, Cascade, et al.. (2021). Global urban population exposure to extreme heat. Proceedings of the National Academy of Sciences. 118(41). 15 indexed citations
4.
Bakhtsiyarava, Maryia, Tim G. Williams, A. Verdin, & Seth D. Guikema. (2021). A nonparametric analysis of household-level food insecurity and its determinant factors: exploratory study in Ethiopia and Nigeria. Food Security. 13(1). 55–70. 9 indexed citations
5.
Grace, Kathryn, A. Verdin, Audrey Dorélien, et al.. (2021). Exploring Strategies for Investigating the Mechanisms Linking Climate and Individual-Level Child Health Outcomes: An Analysis of Birth Weight in Mali. Demography. 58(2). 499–526. 18 indexed citations
6.
Verdin, A., Kathryn Grace, Frank Davenport, Chris Funk, & G. J. Husak. (2021). Can we advance individual-level heat-health research through the application of stochastic weather generators?. Climatic Change. 164(1-2). 2 indexed citations
7.
Verdin, A., Chris Funk, Pete Peterson, et al.. (2020). Development and validation of the CHIRTS-daily quasi-global high-resolution daily temperature data set. Scientific Data. 7(1). 303–303. 68 indexed citations
8.
Gangopadhyay, Subhrendu, et al.. (2019). A collaborative stochastic weather generator for climate impacts assessment in the Lower Santa Cruz River Basin, Arizona. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
9.
Verdin, A., Balaji Rajagopalan, William Kleiber, Guillermo Podestá, & Federico Bert. (2019). BayGEN: A Bayesian Space‐Time Stochastic Weather Generator. Water Resources Research. 55(4). 2900–2915. 21 indexed citations
10.
García, Guillermo A., Federico Bert, Ángel N. Menéndez, et al.. (2018). A linked modelling framework to explore interactions among climate, soil water, and land use decisions in the Argentine Pampas. Environmental Modelling & Software. 111. 459–471. 17 indexed citations
11.
12.
Verdin, A., Chris Funk, Balaji Rajagopalan, & William Kleiber. (2016). Kriging and Local Polynomial Methods for Blending Satellite-Derived and Gauge Precipitation Estimates to Support Hydrologic Early Warning Systems. IEEE Transactions on Geoscience and Remote Sensing. 54(5). 2552–2562. 56 indexed citations
13.
Funk, Chris, A. Verdin, Joel Michaelsen, et al.. (2015). A global satellite-assisted precipitation climatology. Earth system science data. 7(2). 275–287. 222 indexed citations
14.
Verdin, A., Balaji Rajagopalan, William Kleiber, & Chris Funk. (2015). A Bayesian kriging approach for blending satellite and ground precipitation observations. Water Resources Research. 51(2). 908–921. 70 indexed citations
15.
Verdin, A., Balaji Rajagopalan, William Kleiber, Guillermo Podestá, & Federico Bert. (2015). A conditional stochastic weather generator for seasonal to multi-decadal simulations. Journal of Hydrology. 556. 835–846. 44 indexed citations
16.
Peterson, Pete, Chris Funk, M. F. Landsfeld, et al.. (2014). The Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) Dataset: Quasi-Global Precipitation Estimates for Drought Monitoring and Trend Analysis. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
17.
Verdin, A., Balaji Rajagopalan, William Kleiber, & Richard W. Katz. (2014). Coupled stochastic weather generation using spatial and generalized linear models. Stochastic Environmental Research and Risk Assessment. 29(2). 347–356. 52 indexed citations
18.
Funk, Chris, Pete Peterson, M. F. Landsfeld, et al.. (2014). A quasi-global precipitation time series for drought monitoring. Data series. 594 indexed citations breakdown →
19.
Verdin, A.. (2013). Statistical Methods for Blending Satellite and Ground Observations to Improve High-Resolution Precipitation Estimates. CU Scholar (University of Colorado Boulder). 1 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.

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