N. Weir
Impact in
- Instrumentation top 10%
- Astronomy and Astrophysics top 10%
- Galaxies: Formation, Evolution, Phenomena
Papers in
-
- Stellar, planetary, and galactic studies 7
- Galaxies: Formation, Evolution, Phenomena 3
-
- Astronomy and Astrophysical Research 8
- Co-authors
- S. G. Djorgovski (21 shared papers)Usama M. Fayyad (14 shared papers)Vladimir Denic (4 shared papers)Fei Wang (1 shared paper)Yu‐Chang Tsai (1 shared paper)Hyo Jung Kim (1 shared paper)Shin‐Han Shiu (1 shared paper)G. Eric Schaller (1 shared paper)
- Journals
- The Astronomical Journal (6 papers)The Astrophysical Journal (2 papers)eLife (2 papers)PLANT PHYSIOLOGY (1 paper)Phytochemistry (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
N. Weir
37 papers receiving 983 citations
Peers
Comparison fields: 5 of 120
- Instrumentation 35
- Astronomy and Astrophysics 142
- Media Technology 65
- Cell Biology 119
- Signal Processing 76
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 164 | |
| 2 | 2019 | 105 | |
| 3 | 2020 | 100 | |
| 4 | 2014 | 99 | |
| 5 | Automating the analysis and cataloging of sky surveys | 1996 | 89 |
| 6 | 1995 | 64 | |
| 7 | 2017 | 62 | |
| 8 | 2019 | 48 | |
| 9 | 2019 | 36 | |
| 10 | 1991 | 32 | |
| 11 | 1995 | 31 | |
| 12 | 1995 | 25 | |
| 13 | 1995 | 17 | |
| 14 | 1992 | 17 | |
| 15 | 2019 | 16 | |
| 16 | 1996 | 16 | |
| 17 | 1993 | 16 | |
| 18 | 1995 | 11 | |
| 19 | Applications of Maximum Entropy Techniques to HST Data | 1991 | 8 |
| 20 | A Multi-Channel Method of Maximum Entropy Image Restoration | 1992 | 8 |
About N. Weir
N. Weir is a scholar working on Astronomy and Astrophysics, Instrumentation, Computer Vision and Pattern Recognition, Molecular Biology and Computational Mechanics, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Astronomy and Astrophysical Research (8 papers), Stellar, planetary, and galactic studies (7 papers), Astronomical Observations and Instrumentation (5 papers), Semiconductor Quantum Structures and Devices (3 papers), Remote Sensing and LiDAR Applications (3 papers), Galaxies: Formation, Evolution, Phenomena (3 papers), High-pressure geophysics and materials (3 papers) and Satellite Image Processing and Photogrammetry (3 papers). The work is most often cited by research in Instrumentation (35 citations), Astronomy and Astrophysics (142 citations), Media Technology (65 citations), Cell Biology (119 citations) and Signal Processing (76 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, Yu‐Chang Tsai, Hyo Jung Kim, Shin‐Han Shiu, G. Eric Schaller, Wenjing Zhang and Kristine Hill. Their work appears in journals such as The Astronomical Journal, The Astrophysical Journal, eLife, PLANT PHYSIOLOGY and Phytochemistry.
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.