N. Weir
Impact in
- Instrumentation top 10%
- Astronomy and Astrophysics top 10%
- Galaxies: Formation, Evolution, Phenomena
Papers in
-
- Stellar, planetary, and galactic studies 10
- Galaxies: Formation, Evolution, Phenomena 4
- Gamma-ray bursts and supernovae 3
-
- Astronomy and Astrophysical Research 11
- Co-authors
- S. G. Djorgovski (27 shared papers)Usama M. Fayyad (16 shared papers)Vladimir Denic (4 shared papers)Fei Wang (1 shared paper)Hyo Jung Kim (1 shared paper)Yu‐Chang Tsai (1 shared paper)Kristine Hill (1 shared paper)Joseph J. Kieber (1 shared paper)
- Journals
- The Astronomical Journal (6 papers)The Astrophysical Journal (3 papers)eLife (2 papers)Phytochemistry (1 paper)Physical Review Letters (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
N. Weir
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 123
- Instrumentation 43
- Astronomy and Astrophysics 164
- Signal Processing 111
- Media Technology 69
- Cell Biology 120
Countries citing papers authored by N. Weir
This map shows the geographic impact of N. Weir'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 N. Weir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Weir more than expected).
Fields of papers citing papers by N. Weir
This network shows the impact of papers produced by N. Weir. 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 N. Weir. The network helps show where N. Weir may publish in the future.
Co-authors
The 25 scholars most cited alongside N. Weir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 176 | |
| 2 | Automating the analysis and cataloging of sky surveys | 1996 | 114 |
| 3 | 2019 | 111 | |
| 4 | 2020 | 107 | |
| 5 | 2014 | 102 | |
| 6 | 1995 | 74 | |
| 7 | 2017 | 63 | |
| 8 | 2019 | 55 | |
| 9 | 1993 | 41 | |
| 10 | 2019 | 38 | |
| 11 | 1991 | 37 | |
| 12 | 1995 | 37 | |
| 13 | 1995 | 27 | |
| 14 | 1995 | 21 | |
| 15 | 2019 | 18 | |
| 16 | 1996 | 17 | |
| 17 | 1992 | 17 | |
| 18 | 1993 | 16 | |
| 19 | 1995 | 15 | |
| 20 | Applications of Maximum Entropy Techniques to HST Data | 1991 | 10 |
About N. Weir
N. Weir is a scholar working on Astronomy and Astrophysics, Instrumentation, Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Astronomy and Astrophysical Research (11 papers), Stellar, planetary, and galactic studies (10 papers), Astronomical Observations and Instrumentation (6 papers), Galaxies: Formation, Evolution, Phenomena (4 papers), Gamma-ray bursts and supernovae (3 papers), Semiconductor Quantum Structures and Devices (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Instrumentation (43 citations), Astronomy and Astrophysics (164 citations), Signal Processing (111 citations), Media Technology (69 citations) and Cell Biology (120 citations). N. Weir has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include S. G. Djorgovski, Usama M. Fayyad, Vladimir Denic, Fei Wang, Hyo Jung Kim, Yu‐Chang Tsai, Kristine Hill, Joseph J. Kieber, G. Eric Schaller and Shin‐Han Shiu. Their work appears in journals such as The Astronomical Journal, The Astrophysical Journal, eLife, Phytochemistry and Physical Review Letters.
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.