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.
Global precipitation measurement: Methods, datasets and applications
2011415 citationsFrancisco J. Tapiador, F. Joseph Turk et al.Atmospheric Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Walt Petersen'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 Walt Petersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walt Petersen more than expected).
This network shows the impact of papers produced by Walt Petersen. 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 Walt Petersen. The network helps show where Walt Petersen may publish in the future.
Co-authorship network of co-authors of Walt Petersen
This figure shows the co-authorship network connecting the top 25 collaborators of Walt Petersen.
A scholar is included among the top collaborators of Walt Petersen 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 Walt Petersen. Walt Petersen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tapiador, Francisco J., Rémy Roca, Anthony D. Del Genio, et al.. (2018). Is Precipitation a Good Metric for Model Performance?. Bulletin of the American Meteorological Society. 100(2). 223–233.72 indexed citations
Petersen, Walt, David B. Wolff, V. Chandrasekar, J. Brent Roberts, & Jonathan L. Case. (2018). NASA Observations and Modeling During ICE-POP. NASA Technical Reports Server (NASA).1 indexed citations
Petersen, Walt, Merhala Thurai, Patrick Gatlin, et al.. (2017). Consistent Measurement and Physical Character of the DSD: Disdrometer to Satellite. NASA Technical Reports Server (NASA).1 indexed citations
8.
Petersen, Walt, et al.. (2017). NASA Global Precipitation Measurement (GPM) mission ground and satellite observations for ICE-POP: Status Update. NASA Technical Reports Server (NASA).1 indexed citations
9.
Petersen, Walt, M. Schwaller, V. Chandrasekar, & Manuel A. Vega. (2016). ICE-POP and the NASA Global Precipitation Measurement (GPM) Mission. NASA Technical Reports Server (NASA).
Petersen, Walt & Witold F. Krajewski. (2013). Status Update on the GPM Ground Validation Iowa Flood Studies (IFloodS) Field Experiment. EGUGA. 13345.8 indexed citations
12.
Kirstetter, Pierre‐Emmanuel, Jonathan J. Gourley, Qing Cao, et al.. (2012). Toward A Research Framework to Bridge Cross-platform Error Characterization of Spaceborne Passive/Active Sensors using NOAA/NSSL Ground Radar-based National Mosaic QPE Products over CONUS. AGUFM. 2012.1 indexed citations
13.
Schultz, C. J., et al.. (2011). Total lightning within electrified snowfall using LMA, NLDN and WTLN measurements. AGU Fall Meeting Abstracts. 2011.3 indexed citations
14.
Tapiador, Francisco J., F. Joseph Turk, Walt Petersen, et al.. (2011). Global precipitation measurement: Methods, datasets and applications. Atmospheric Research. 104-105. 70–97.415 indexed citations breakdown →
Goodman, Steven J., Richard J. Blakeslee, William J. Koshak, et al.. (2008). Pre-Launch Algorithms and Risk Reduction in Support of the Geostationary Lightning Mapper for GOES-R and Beyond. NASA Technical Reports Server (NASA).2 indexed citations
17.
Chandrasekar, V., Arthur Y. Hou, Eric Smith, et al.. (2008). Use of Dual Polarization Radar in Validation of Satellite Precipitation Measurements: Rationale and Opportunities. NASA STI Repository (National Aeronautics and Space Administration).
Cifelli, Robert, et al.. (2002). TRMM(熱帯降雨観測計画)LBA(大規模生物圏-大気)実験における二つのMCSs(メソ規模対流系)のレーダ観測による運動学的,微視物理学的,及び降水の特徴. 107. 1–44.12 indexed citations
20.
Rutledge, S. A., et al.. (2000). Early results from TRMM/LBA.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.