Omid E. David
Impact in
- Space and Planetary Science top 2%
- Archaeological Research and Protection
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Image Processing and 3D Reconstruction 3
- Image Enhancement Techniques 2
- Advanced Vision and Imaging 1
- Generative Adversarial Networks and Image Synthesis 1
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- Archaeological Research and Protection 3
- Co-authors
- Nathan S. Netanyahu (9 shared papers)Yoav O. Rosenberg (1 shared paper)Eliyahu Kiperwasser (1 shared paper)
- Journals
- Genetic Programming and Evolvable Machines (1 paper)Lecture notes in computer science (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- IsraelUnited States
In The Last Decade
Omid E. David
9 papers receiving 299 citations
Peers
Comparison fields: 5 of 56
- Space and Planetary Science 59
- Signal Processing 152
- Software 28
- Computer Vision and Pattern Recognition 130
- Computer Networks and Communications 136
Countries citing papers authored by Omid E. David
This map shows the geographic impact of Omid E. David'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 Omid E. David with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omid E. David more than expected).
Fields of papers citing papers by Omid E. David
This network shows the impact of papers produced by Omid E. David. 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 Omid E. David. The network helps show where Omid E. David may publish in the future.
Co-authors
The 3 scholars most cited alongside Omid E. David, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 160 | |
| 2 | 2013 | 51 | |
| 3 | 2016 | 36 | |
| 4 | 2014 | 27 | |
| 5 | 2016 | 19 | |
| 6 | 2014 | 15 | |
| 7 | 2013 | 6 | |
| 8 | 2013 | 1 | |
| 9 | 2011 | 1 |
About Omid E. David
Omid E. David is a scholar working on Computer Vision and Pattern Recognition, Space and Planetary Science, Cognitive Neuroscience, Archeology and Atomic and Molecular Physics, and Optics, having authored 9 papers that have together received 316 indexed citations. Recurring topics across this work include Archaeological Research and Protection (3 papers), Cultural Heritage Materials Analysis (3 papers), Image Processing and 3D Reconstruction (3 papers), Aesthetic Perception and Analysis (3 papers), Color Science and Applications (2 papers), Image Enhancement Techniques (2 papers), Advanced Vision and Imaging (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Space and Planetary Science (59 citations), Signal Processing (152 citations), Software (28 citations), Computer Vision and Pattern Recognition (130 citations) and Computer Networks and Communications (136 citations). Omid E. David has collaborated with scholars based in Israel and United States. Frequent co-authors include Nathan S. Netanyahu, Yoav O. Rosenberg and Eliyahu Kiperwasser. Their work appears in journals such as Genetic Programming and Evolvable Machines, Lecture notes in computer science, Proceedings of the AAAI Conference on Artificial Intelligence and arXiv (Cornell University).
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.