Stanley Seibert
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Instrumentation top 10%
- Astronomy and Astrophysical Research
Papers in
-
- Dark Matter and Cosmic Phenomena 2
- Neutrino Physics Research 1
- Particle Detector Development and Performance 1
-
- Geomagnetism and Paleomagnetism Studies 1
- Co-authors
- Antoine Pitrou (1 shared paper)W. Horton (1 shared paper)Wen-Shin Lin (1 shared paper)I. Doxas (1 shared paper)M. Mithaiwala (1 shared paper)
- Journals
- IEEE Transactions on Plasma Science (1 paper)Texas ScholarWorks (Texas Digital Library) (1 paper)Bulletin of the American Physical Society (1 paper)
- Partner nations
- United States
In The Last Decade
Stanley Seibert
3 papers receiving 840 citations
Stanley Seibert's Hit Papers
Peers
Comparison fields: 5 of 130
- Hardware and Architecture 83
- Instrumentation 36
- Astronomy and Astrophysics 145
- Structural Biology 8
- Artificial Intelligence 174
Countries citing papers authored by Stanley Seibert
This map shows the geographic impact of Stanley Seibert'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 Stanley Seibert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanley Seibert more than expected).
Fields of papers citing papers by Stanley Seibert
This network shows the impact of papers produced by Stanley Seibert. 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 Stanley Seibert. The network helps show where Stanley Seibert may publish in the future.
Co-authors
The 5 scholars most cited alongside Stanley Seibert, 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 | Numba Hit paper breakdown → | 2015 | 870 |
| 2 | 2004 | 12 | |
| 3 | Simulation and Analysis for the MiniCLEAN Dark Matter Experiment | 2011 | 1 |
| 4 | A low energy measurement of the B solar neutrino spectrum at the Sudbury Neutrino Observatory | 2008 | 1 |
About Stanley Seibert
Stanley Seibert is a scholar working on Nuclear and High Energy Physics, Molecular Biology, Astronomy and Astrophysics, Information Systems and Management and Instrumentation, having authored 4 papers that have together received 884 indexed citations. Recurring topics across this work include Dark Matter and Cosmic Phenomena (2 papers), Ionosphere and magnetosphere dynamics (1 paper), Scientific Computing and Data Management (1 paper), Neutrino Physics Research (1 paper), Particle Detector Development and Performance (1 paper), Astronomy and Astrophysical Research (1 paper), Geomagnetism and Paleomagnetism Studies (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (83 citations), Instrumentation (36 citations), Astronomy and Astrophysics (145 citations), Structural Biology (8 citations) and Artificial Intelligence (174 citations). Stanley Seibert has collaborated with scholars based in United States. Frequent co-authors include Antoine Pitrou, W. Horton, Wen-Shin Lin, I. Doxas and M. Mithaiwala. Their work appears in journals such as IEEE Transactions on Plasma Science, Texas ScholarWorks (Texas Digital Library) and Bulletin of the American Physical Society.
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.