N. Weir
- Molecular Biology
- Plant Science top 10%
- Astronomy and Astrophysics top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Co-authors
- S. G. DjorgovskiUsama M. FayyadVladimir DenicFei WangYu‐Chang TsaiShin‐Han ShiuHyo Jung KimWenjing Zhang
- Topics
- Astronomy and Astrophysical Research (8 papers)Stellar, planetary, and galactic studies (7 papers)Astronomical Observations and Instrumentation (5 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
N. Weir
37 papers receiving 983 citations
Peers
Comparison fields: 5 of 120
- Molecular Biology 318
- Plant Science 180
- Astronomy and Astrophysics 142
- Computer Vision and Pattern Recognition 120
- Artificial Intelligence 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-authorship network of co-authors of N. Weir
This figure shows the co-authorship network connecting the top 25 collaborators of N. Weir. A scholar is included among the top collaborators of N. Weir based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with N. Weir. N. Weir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 105 | |
| 3 | 48 | |
| 4 | 62 | |
| 5 | 4 | |
| 6 | 99 | |
| 7 | Automating the analysis and cataloging of sky surveys | 89 |
| 8 | 16 | |
| 9 | Clustering Analysis Algorithms and Their Applications to Digital POSS-II Catalogs | 5 |
| 10 | Applications of Clustering Analysis and Unsupervised Classification Algorithms to Digitized POSS-II | 1 |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 16 | |
| 14 | Automated analysis of a large-scale sky survey: the SKICAT system | 5 |
| 15 | SkICAT: A cataloging and analysis tool for wide field imaging surveys | 1 |
| 16 | SKICAT: A system for the Scientific Analysis of Palomar-STScI Digital Sky Survey | 1 |
| 17 | Applications of Maximum Entropy Techniques to HST Data | 8 |
| 18 | Recent developments in Maximum Entropy-based image restoration | 2 |
| 19 | PHL 1222 - an interacting quasar pair? | 7 |
| 20 | A Maximum Entropy Deconvolution Approach to Photometry in Globular Clusters | 1 |
About N. Weir
N. Weir is a scholar working on Instrumentation, Horticulture and Structural Biology, 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) and Astronomical Observations and Instrumentation (5 papers). The work is most often cited by research in Instrumentation (35 citations), Astronomy and Astrophysics (142 citations) and Media Technology (65 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, Shin‐Han Shiu, Hyo Jung Kim, Wenjing Zhang, Joseph J. Kieber and G. Eric Schaller. Their work appears in journals such as Nature, Physical Review Letters and The Astrophysical Journal.
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.