Joshua L. Moore
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Signal Processing
- Control and Systems Engineering
- Co-authors
- Anshumali ShrivastavaArnd Christian KönigPing LiDouglas TurnbullThorsten JoachimsAaron BobickJames M. RehgJie Sun
- Topics
- Ophthalmology and Visual Impairment Studies (4 papers)Corneal surgery and disorders (4 papers)Glaucoma and retinal disorders (3 papers)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Joshua L. Moore
16 papers receiving 244 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 102
- Artificial Intelligence 94
- Radiology, Nuclear Medicine and Imaging 56
- Signal Processing 37
- Control and Systems Engineering 31
Countries citing papers authored by Joshua L. Moore
This map shows the geographic impact of Joshua L. Moore'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 Joshua L. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua L. Moore more than expected).
Fields of papers citing papers by Joshua L. Moore
This network shows the impact of papers produced by Joshua L. Moore. 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 Joshua L. Moore. The network helps show where Joshua L. Moore may publish in the future.
Co-authorship network of co-authors of Joshua L. Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Joshua L. Moore. A scholar is included among the top collaborators of Joshua L. Moore 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 Joshua L. Moore. Joshua L. Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 11 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | 26 | |
| 12 | 24 | |
| 13 | b-Bit Minwise Hashing for Large-Scale Learning | 4 |
| 14 | 20 | |
| 15 | 72 | |
| 16 | 48 |
About Joshua L. Moore
Joshua L. Moore is a scholar working on Ophthalmology, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 258 indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (4 papers), Corneal surgery and disorders (4 papers) and Glaucoma and retinal disorders (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (102 citations), Signal Processing (37 citations) and Artificial Intelligence (94 citations). Joshua L. Moore has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Anshumali Shrivastava, Arnd Christian König, Ping Li, Douglas Turnbull, Thorsten Joachims, Aaron Bobick, James M. Rehg, Jie Sun, Shuo Chen and Shuo Chen. Their work appears in journals such as PLoS ONE, The International Journal of Robotics Research and Journal of General Virology.
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.