Mel Siegel
- Computer Vision and Pattern Recognition top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Spectroscopy top 2%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Co-authors
- Huadong WuJ. L. HallRoman KucR. J. CelottaRoger A. BennettJudah LevineJie YangRainer Stiefelhagen
- Topics
- Advanced Vision and Imaging (17 papers)Industrial Vision Systems and Defect Detection (12 papers)Advanced Optical Imaging Technologies (11 papers)
- Journals
- Physical Review LettersThe Journal of Chemical PhysicsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- United StatesChinaNew Zealand
In The Last Decade
Mel Siegel
112 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Computer Vision and Pattern Recognition 651
- Atomic and Molecular Physics, and Optics 510
- Spectroscopy 372
- Electrical and Electronic Engineering 320
- Biomedical Engineering 285
Countries citing papers authored by Mel Siegel
This map shows the geographic impact of Mel Siegel'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 Mel Siegel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mel Siegel more than expected).
Fields of papers citing papers by Mel Siegel
This network shows the impact of papers produced by Mel Siegel. 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 Mel Siegel. The network helps show where Mel Siegel may publish in the future.
Co-authorship network of co-authors of Mel Siegel
This figure shows the co-authorship network connecting the top 25 collaborators of Mel Siegel. A scholar is included among the top collaborators of Mel Siegel 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 Mel Siegel. Mel Siegel 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 12 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | Sensor data fusion for context-aware computing using dempster-shafer theory | 61 |
| 13 | Synthesis of a 3D-Stereoscopic Image Pair from a High-Resolution Monoscopic Image and a Low-Resolution Depth Map | 4 |
| 14 | Remote and automated inspection: status and prospects * | 8 |
| 15 | 16 | |
| 16 | Efficient compression of arbitrary multi-view video signals | 4 |
| 17 | 18 | |
| 18 | 225 | |
| 19 | 3 | |
| 20 | 11 |
About Mel Siegel
Mel Siegel is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 121 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (17 papers), Industrial Vision Systems and Defect Detection (12 papers) and Advanced Optical Imaging Technologies (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (651 citations), Media Technology (234 citations) and Spectroscopy (372 citations). Mel Siegel has collaborated with scholars based in United States, China and New Zealand. Frequent co-authors include Huadong Wu, J. L. Hall, Roman Kuc, R. J. Celotta, Roger A. Bennett, Judah Levine, Jie Yang, Rainer Stiefelhagen, W. L. Fite and A.G. Jordan. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.