Scott Terek
Impact in
-
- Astronomy and Astrophysical Research
-
- Galaxies: Formation, Evolution, Phenomena
- Stellar, planetary, and galactic studies
- Astrophysics and Star Formation Studies
- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
Papers in ⓘ
-
- Galaxies: Formation, Evolution, Phenomena 2
- Stellar, planetary, and galactic studies 2
- Gamma-ray bursts and supernovae 2
- Astrophysical Phenomena and Observations 1
-
- Machine Learning in Bioinformatics 1
- Co-authors
- X. Chen (3 shared papers)G. Hélou (3 shared papers)Patrick Ogle (3 shared papers)Barry F. Madore (3 shared papers)M. Schmitz (4 shared papers)J. M. Mazzarella (4 shared papers)B. Chan (2 shared papers)K. D. Baker (1 shared paper)
- Journals
- The Astronomical Journal (1 paper)The Astrophysical Journal Supplement Series (1 paper)Publications of the Astronomical Society of the Pacific (1 paper)AAS (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Scott Terek
4 papers receiving 37 citations
Peers
Comparison fields: 5 of 17
- Instrumentation 11
- Astronomy and Astrophysics 38
- Nuclear and High Energy Physics 11
- Computational Mechanics 6
- Information Systems and Management 1
Countries citing papers authored by Scott Terek
This map shows the geographic impact of Scott Terek'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 Scott Terek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Terek more than expected).
Fields of papers citing papers by Scott Terek
This network shows the impact of papers produced by Scott Terek. 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 Scott Terek. The network helps show where Scott Terek may publish in the future.
Co-authors
The 13 scholars most cited alongside Scott Terek, 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 | 2016 | 33 | |
| 2 | 2023 | 7 | |
| 3 | Explosive Growth and Advancement of the NASA/IPAC Extragalactic Database (NED) | 2014 | 2 |
| 4 | 2022 | 1 |
About Scott Terek
Scott Terek is a scholar working on Astronomy and Astrophysics, Molecular Biology, Instrumentation, Signal Processing and Computational Mechanics, having authored 4 papers that have together received 43 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (2 papers), Stellar, planetary, and galactic studies (2 papers), Gamma-ray bursts and supernovae (2 papers), Machine Learning in Bioinformatics (1 paper), Time Series Analysis and Forecasting (1 paper), Astronomy and Astrophysical Research (1 paper), Astrophysical Phenomena and Observations (1 paper) and Spectroscopy and Chemometric Analyses (1 paper). The work is most often cited by research in Instrumentation (11 citations), Astronomy and Astrophysics (38 citations), Nuclear and High Energy Physics (11 citations), Computational Mechanics (6 citations) and Information Systems and Management (1 citation). Scott Terek has collaborated with scholars based in United States, France and Canada. Frequent co-authors include X. Chen, G. Hélou, Patrick Ogle, Barry F. Madore, M. Schmitz, J. M. Mazzarella, B. Chan, K. D. Baker, O. Pevunova and H. G. Corwin. Their work appears in journals such as The Astronomical Journal, The Astrophysical Journal Supplement Series, Publications of the Astronomical Society of the Pacific and AAS.
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.