E. Grace
Impact in
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- Astronomy and Astrophysical Research
- Advanced Optical Sensing Technologies
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- Galaxies: Formation, Evolution, Phenomena
- Stellar, planetary, and galactic studies
- Gamma-ray bursts and supernovae
- Radio Astronomy Observations and Technology
Papers in
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- Data Stream Mining Techniques 1
- Imbalanced Data Classification Techniques 1
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- Stellar, planetary, and galactic studies 1
- Co-authors
- S. M. Kahn (1 shared paper)Eric W. Peng (1 shared paper)J. G. Jernigan (1 shared paper)J. R. Peterson (1 shared paper)A. Meert (1 shared paper)Michael D. Young (1 shared paper)Rayid Ghani (1 shared paper)J. Bankert (1 shared paper)
- Journals
- Journal of the Science of Food and Agriculture (1 paper)The Astrophysical Journal Supplement Series (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesAustraliaIndonesia
In The Last Decade
E. Grace
5 papers receiving 54 citations
Peers
Comparison fields: 5 of 37
- Instrumentation 18
- Astronomy and Astrophysics 24
- Atomic and Molecular Physics, and Optics 17
- Computer Vision and Pattern Recognition 7
- Information Systems and Management 2
Countries citing papers authored by E. Grace
This map shows the geographic impact of E. Grace'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 E. Grace with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Grace more than expected).
Fields of papers citing papers by E. Grace
This network shows the impact of papers produced by E. Grace. 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 E. Grace. The network helps show where E. Grace may publish in the future.
Co-authors
The 22 scholars most cited alongside E. Grace, 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 | 2015 | 37 | |
| 2 | 2016 | 9 | |
| 3 | 2019 | 4 | |
| 4 | Detector Characterization, Optimization, and Operation for ACTPol | 2016 | 3 |
| 5 | 2018 | 2 |
About E. Grace
E. Grace is a scholar working on Artificial Intelligence, Astronomy and Astrophysics, Sociology and Political Science, Ecology, Evolution, Behavior and Systematics and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 55 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (1 paper), Plant and animal studies (1 paper), Insect and Pesticide Research (1 paper), Imbalanced Data Classification Techniques (1 paper), Bee Products Chemical Analysis (1 paper), Stellar, planetary, and galactic studies (1 paper), Data Visualization and Analytics (1 paper) and Astronomy and Astrophysical Research (1 paper). The work is most often cited by research in Instrumentation (18 citations), Astronomy and Astrophysics (24 citations), Atomic and Molecular Physics, and Optics (17 citations), Computer Vision and Pattern Recognition (7 citations) and Information Systems and Management (2 citations). E. Grace has collaborated with scholars based in United States, Australia and Indonesia. Frequent co-authors include S. M. Kahn, Eric W. Peng, J. G. Jernigan, J. R. Peterson, A. Meert, Michael D. Young, Rayid Ghani, J. Bankert, C. F. Claver and S. Lorenz. Their work appears in journals such as Journal of the Science of Food and Agriculture, The Astrophysical Journal Supplement Series and Proceedings of the AAAI Conference on Artificial Intelligence.
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.