Joseph Weber
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Automotive Engineering top 5%
- Aerospace Engineering top 10%
- Media Technology top 5%
- Co-authors
- Jitendra MalikDaniela KollerB. V. RaoStuart RussellT. HuangG. OgasawaraQ.-T. LuongC. James Taylor
- Topics
- Advanced Vision and Imaging (12 papers)Autonomous Vehicle Technology and Safety (9 papers)Video Surveillance and Tracking Methods (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionPMLA/Publications of the Modern Language Association of America
- Partner nations
- United States
In The Last Decade
Joseph Weber
17 papers receiving 760 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 646
- Artificial Intelligence 191
- Automotive Engineering 188
- Aerospace Engineering 106
- Media Technology 61
Countries citing papers authored by Joseph Weber
This map shows the geographic impact of Joseph Weber'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 Joseph Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Weber more than expected).
Fields of papers citing papers by Joseph Weber
This network shows the impact of papers produced by Joseph Weber. 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 Joseph Weber. The network helps show where Joseph Weber may publish in the future.
Co-authorship network of co-authors of Joseph Weber
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Weber. A scholar is included among the top collaborators of Joseph Weber 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 Joseph Weber. Joseph Weber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | IPTV Crash Course | 6 |
| 2 | 17 | |
| 3 | 3 | |
| 4 | 51 | |
| 5 | 266 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 76 | |
| 10 | 24 | |
| 11 | 5 | |
| 12 | An integrated stereo-based approach to automatic vehicle guidance | 23 |
| 13 | 1 | |
| 14 | 153 | |
| 15 | 2 | |
| 16 | Automatic symbolic traffic scene analysis using belief networks | 85 |
| 17 | Specification of the KQML Agent-Communication Language | 118 |
| 18 | 0 |
About Joseph Weber
Joseph Weber is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Media Technology, having authored 18 papers that have together received 861 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Autonomous Vehicle Technology and Safety (9 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (646 citations), Automotive Engineering (188 citations) and Media Technology (61 citations). Joseph Weber has collaborated with scholars based in United States. Frequent co-authors include Jitendra Malik, Daniela Koller, B. V. Rao, Stuart Russell, T. Huang, G. Ogasawara, Q.-T. Luong, C. James Taylor, Tim Finin and Larry Matthies. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and PMLA/Publications of the Modern Language Association of America.
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.