J. Kessinger
Impact in
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- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Tropical and Extratropical Cyclones Research
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- Flood Risk Assessment and Management
- Climate variability and models
Papers in
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- Neural Networks and Applications 1
- Target Tracking and Data Fusion in Sensor Networks 1
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- Meteorological Phenomena and Simulations 1
- Partner nations
- United States
In The Last Decade
J. Kessinger
2 papers receiving 12 citations
Peers
Comparison fields: 5 of 13
- Atmospheric Science 11
- Global and Planetary Change 8
- Environmental Engineering 4
- Software 1
- Geology 1
Countries citing papers authored by J. Kessinger
This map shows the geographic impact of J. Kessinger'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 J. Kessinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Kessinger more than expected).
Fields of papers citing papers by J. Kessinger
This network shows the impact of papers produced by J. Kessinger. 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 J. Kessinger. The network helps show where J. Kessinger may publish in the future.
Co-authors
The 2 scholars most cited alongside J. Kessinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A machine-learning approach to finding weather regimes and skillful predictor combinations for short-term storm forecasting [presentation] | 2008 | 14 |
| 2 | The AP ground clutter mitigation scheme for the WSR-88D [presentation] | 2005 | 1 |
About J. Kessinger
J. Kessinger is a scholar working on Artificial Intelligence, Atmospheric Science, Aerospace Engineering, Electrical and Electronic Engineering and Nuclear and High Energy Physics, having authored 2 papers that have together received 15 indexed citations. Recurring topics across this work include Electromagnetic Compatibility and Measurements (1 paper), Neural Networks and Applications (1 paper), Meteorological Phenomena and Simulations (1 paper), Target Tracking and Data Fusion in Sensor Networks (1 paper), Particle accelerators and beam dynamics (1 paper) and Magnetic confinement fusion research (1 paper). The work is most often cited by research in Atmospheric Science (11 citations), Global and Planetary Change (8 citations), Environmental Engineering (4 citations), Software (1 citation) and Geology (1 citation). J. Kessinger has collaborated with scholars based in United States. Frequent co-authors include Kaye J. Williams and Matthias Steiner.
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.