Jeffrey Ho
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Aerospace Engineering top 10%
- Signal Processing top 10%
- Co-authors
- Ming–Hsuan YangDavid KriegmanKuang-Chih LeeBaba C. VemuriAnanth RanganathanYuchen XieAnand RangarajanAdrian M. Peter
- Topics
- Medical Image Segmentation Techniques (9 papers)Advanced Vision and Imaging (7 papers)Advanced Image and Video Retrieval Techniques (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputational MathematicsComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Transactions on Medical Imaging
- Partner nations
- United StatesHong KongJapan
In The Last Decade
Jeffrey Ho
63 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 126
- Computer Vision and Pattern Recognition 636
- Artificial Intelligence 142
- Computational Mechanics 123
- Aerospace Engineering 93
- Signal Processing 92
Countries citing papers authored by Jeffrey Ho
This map shows the geographic impact of Jeffrey Ho'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 Jeffrey Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Ho more than expected).
Fields of papers citing papers by Jeffrey Ho
This network shows the impact of papers produced by Jeffrey Ho. 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 Jeffrey Ho. The network helps show where Jeffrey Ho may publish in the future.
Co-authorship network of co-authors of Jeffrey Ho
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Ho. A scholar is included among the top collaborators of Jeffrey Ho 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 Jeffrey Ho. Jeffrey Ho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 13 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers | 16 |
| 13 | Fault Management in Map-Reduce Through Early Detection of Anomalous Nodes | 10 |
| 14 | 9 | |
| 15 | 12 | |
| 16 | 4 | |
| 17 | 23 | |
| 18 | 96 | |
| 19 | 15 | |
| 20 | 5 |
About Jeffrey Ho
Jeffrey Ho is a scholar working on Computational Mathematics, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Advanced Vision and Imaging (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (636 citations), Computational Mathematics (16 citations) and Computer Graphics and Computer-Aided Design (46 citations). Jeffrey Ho has collaborated with scholars based in United States, Hong Kong and Japan. Frequent co-authors include Ming–Hsuan Yang, David Kriegman, Kuang-Chih Lee, Baba C. Vemuri, Ananth Ranganathan, Yuchen Xie, Anand Rangarajan, Adrian M. Peter, Xinzhi Zhang and Laurie S. Goodman. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.
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.