Countries citing papers authored by Patrick Gatlin
Since
Specialization
Citations
This map shows the geographic impact of Patrick Gatlin'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 Patrick Gatlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Gatlin more than expected).
This network shows the impact of papers produced by Patrick Gatlin. 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 Patrick Gatlin. The network helps show where Patrick Gatlin may publish in the future.
Co-authorship network of co-authors of Patrick Gatlin
This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Gatlin.
A scholar is included among the top collaborators of Patrick Gatlin 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 Patrick Gatlin. Patrick Gatlin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Case, Jonathan L., et al.. (2020). Verification of the Convection-Allowing Ensemble System over the Hindu Kush Himalaya Region During the 2018 and 2019 Pre-Monsoon Severe Thunderstorm Seasons.1 indexed citations
5.
Gatlin, Patrick, et al.. (2019). The Evolution and Extratropical Transition of Tropical Cyclones from a GPM, ISS LIS and GLM Perspective. AGU Fall Meeting Abstracts. 2019.
6.
Case, Jonathan L., Patrick Gatlin, Jordan R. Bell, et al.. (2018). Forecasting and Monitoring Intense Thunderstorms in the Hindu Kush Himalayan Region: Spring 2018 Forecasting Experiment.3 indexed citations
Gatlin, Patrick, et al.. (2017). Introducing the VISAGE project - Visualization for Integrated Satellite, Airborne, and Ground-based data Exploration. AGUFM. 2017.1 indexed citations
9.
Gatlin, Patrick, et al.. (2017). Radar and Disdrometer Observations of Topographical Effects on the Melting Layer and Resultant RSD.1 indexed citations
Gatlin, Patrick. (2016). Monitoring Intense Thunderstorms in the Hindu-Kush Himalayan Region. NASA STI Repository (National Aeronautics and Space Administration). 2018.1 indexed citations
13.
Lee, Tsengdar J., Jia Zhang, Rahul Ramachandran, et al.. (2016). Building Knowledge Graphs for NASA's Earth Science Enterprise. AGU Fall Meeting Abstracts. 2016.1 indexed citations
14.
Roberto, Nicoletta, Elisa Adirosi, Daniele Casella, et al.. (2014). Investigation of a convection event using multisensor observations during HyMeX SOP1. EGU General Assembly Conference Abstracts. 12272.1 indexed citations
Petersen, Walter A., Patrick Gatlin, Matthew Wingo, et al.. (2011). Drop Size Distribution Measurements Supporting the NASA Global Precipitation Measurement Mission: Infrastructure and Preliminary Results.1 indexed citations
17.
Petersen, Walter A., et al.. (2009). The UAH/NSSTC Advanced Radar for Meteorological and Operational Research (ARMOR).1 indexed citations
18.
Gatlin, Patrick & Steven J. Goodman. (2004). Signatures in Lightning Activity during Tennessee Valley Severe Storms of 5-6 May 2003. 11th Conference on Aviation, Range, and Aerospace and the 22nd Conference on Severe Local Storms.3 indexed citations
19.
Buechler, Dennis E., Eugene W. McCaul, Steven J. Goodman, et al.. (2004). The Severe Weather Outbreak of 10 November 2002: Lightning and Radar Analysis of Storms in the Deep South. 11th Conference on Aviation, Range, and Aerospace and the 22nd Conference on Severe Local Storms.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.