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.
The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes
20153.9k citationsChris Funk, Pete Peterson et al.Scientific Dataprofile →
A quasi-global precipitation time series for drought monitoring
2014594 citationsChris Funk, Pete Peterson et al.Data seriesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Diego Pedreros
Since
Specialization
Citations
This map shows the geographic impact of Diego Pedreros'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 Diego Pedreros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Pedreros more than expected).
This network shows the impact of papers produced by Diego Pedreros. 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 Diego Pedreros. The network helps show where Diego Pedreros may publish in the future.
Co-authorship network of co-authors of Diego Pedreros
This figure shows the co-authorship network connecting the top 25 collaborators of Diego Pedreros.
A scholar is included among the top collaborators of Diego Pedreros 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 Diego Pedreros. Diego Pedreros is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Shukla, Shraddhanand, Chris Funk, Pete Peterson, et al.. (2017). The Climate Hazards group InfraRed Precipitation with Stations (CHIRPS) dataset and its applications in drought risk management. EGU General Assembly Conference Abstracts. 11498.7 indexed citations
Funk, Christopher, J. P. Verdin, Gideon Galu, et al.. (2016). Advancing Integrated African Early Warning Science and Climate Services. AGU Fall Meeting Abstracts. 2016.1 indexed citations
8.
Peterson, Pete, Chris Funk, M. F. Landsfeld, et al.. (2015). The Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) v2.0 Dataset: 35 year Quasi-Global Precipitation Estimates for Drought Monitoring. 2015 AGU Fall Meeting. 2015.3 indexed citations
Funk, Chris, Pete Peterson, M. F. Landsfeld, et al.. (2015). The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes. Scientific Data. 2(1). 150066–150066.3945 indexed citations breakdown →
11.
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
12.
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 →
13.
Pedreros, Diego, et al.. (2014). The Use of CHIRPS to Analyze Historical Rainfall in Colombia. 2014.4 indexed citations
14.
Peterson, Pete, Chris Funk, G. J. Husak, et al.. (2013). The Climate Hazards group InfraRed Precipitation (CHIRP) with Stations (CHIRPS): Development and Validation. AGU Fall Meeting Abstracts. 2013.14 indexed citations
Roberts, Dar A., et al.. (1998). Mapping the Distribution of Wildfire Fuels Using AVIRIS in the Santa Monica Mountains. NASA Technical Reports Server (NASA). 1.10 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.