G. S. Griffin
- Media Technology top 1%
- Remote-Sensing Image Classification 2
- Artificial Intelligence top 1%
- Astronomy and Astrophysics top 10%
- Astrophysics and Star Formation Studies 4
- Cosmology and Gravitation Theories 4
- Radio Astronomy Observations and Technology 4
- Superconducting and THz Device Technology 2
- Stellar, planetary, and galactic studies 2
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- Astrophysics and Cosmic Phenomena 5
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- Aerospace Engineering and Energy Systems 2
- Co-authors
- Pietro PeronaAlex HolubJ. B. PetersonM. NewcombDavid T. ChussGiles NovakR. F. LoewensteinJessie Dotson
- Journals
- The Astrophysical Journal (5 papers)Review of Scientific Instruments (1 paper)Publications of the Astronomical Society of the Pacific (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
G. S. Griffin
15 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 1.4k
- Media Technology 276
- Artificial Intelligence 859
- Astronomy and Astrophysics 165
- Nuclear and High Energy Physics 71
Countries citing papers authored by G. S. Griffin
This map shows the geographic impact of G. S. Griffin'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 G. S. Griffin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. S. Griffin more than expected).
Fields of papers citing papers by G. S. Griffin
This network shows the impact of papers produced by G. S. Griffin. 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 G. S. Griffin. The network helps show where G. S. Griffin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G. S. Griffin, 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 | 2020 | 7 | |
| 2 | 2019 | 3 | |
| 3 | 2008 | 137 | |
| 4 | Caltech-256 Object Category Datasetbreakdown → | 2007 | 1556 |
| 5 | 2006 | 13 | |
| 6 | 2006 | 35 | |
| 7 | Results of SPARO 2003: Mapping Magnetic Fields in Giant Molecular Clouds | 2005 | 1 |
| 8 | Results of SPARO 2003: Data Analysis and Polarization Maps | 2005 | 1 |
| 9 | 2004 | 6 | |
| 10 | 2003 | 57 | |
| 11 | 2003 | 1 | |
| 12 | 2000 | 22 | |
| 13 | 1999 | 1 | |
| 14 | 1998 | 6 | |
| 15 | 1994 | 6 | |
| 16 | 1993 | 21 |
About G. S. Griffin
G. S. Griffin is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Media Technology, having authored 16 papers that have together received 1.9k indexed citations. Recurring topics across this work include Astrophysics and Cosmic Phenomena (5 papers), Astrophysics and Star Formation Studies (4 papers), Cosmology and Gravitation Theories (4 papers), Radio Astronomy Observations and Technology (4 papers), Remote-Sensing Image Classification (2 papers), Superconducting and THz Device Technology (2 papers), Aerospace Engineering and Energy Systems (2 papers) and Stellar, planetary, and galactic studies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Media Technology (276 citations) and Artificial Intelligence (859 citations). G. S. Griffin has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Pietro Perona, Alex Holub, J. B. Peterson, M. Newcomb, David T. Chuss, Giles Novak, R. F. Loewenstein, Jessie Dotson, G. S. Tucker and T. Renbarger. Their work appears in journals such as The Astrophysical Journal, Review of Scientific Instruments and Publications of the Astronomical Society of the Pacific.
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.