Y. Yakimovsky
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Media Technology top 10%
- Geology top 10%
- Artificial Intelligence
- Co-authors
- Jerome A. FeldmanRyan Cunningham
- Topics
- Advanced Vision and Imaging (3 papers)Neural Networks and Applications (2 papers)Data Visualization and Analytics (2 papers)
- Journals
- Artificial IntelligenceJournal of the ACMComputer Graphics and Image Processing
- Partner nations
- United StatesCanada
In The Last Decade
Y. Yakimovsky
11 papers receiving 334 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 289
- Aerospace Engineering 125
- Media Technology 52
- Geology 32
- Artificial Intelligence 31
Countries citing papers authored by Y. Yakimovsky
This map shows the geographic impact of Y. Yakimovsky'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 Y. Yakimovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Yakimovsky more than expected).
Fields of papers citing papers by Y. Yakimovsky
This network shows the impact of papers produced by Y. Yakimovsky. 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 Y. Yakimovsky. The network helps show where Y. Yakimovsky may publish in the future.
Co-authorship network of co-authors of Y. Yakimovsky
This figure shows the co-authorship network connecting the top 25 collaborators of Y. Yakimovsky. A scholar is included among the top collaborators of Y. Yakimovsky 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 Y. Yakimovsky. Y. Yakimovsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 214 | |
| 2 | A system for extracting 3-dimensional measurements from a stereo pair of TV cameras | 2 |
| 3 | On the problem of embedding picture elements in regions | 4 |
| 4 | DABI: A data base for image analysis with nondeterministic inference capability | 3 |
| 5 | Sequential decision based edge detection. | 1 |
| 6 | On the recognition of complex structures: Computer software using artificial intelligence applied to pattern recognition | 3 |
| 7 | 82 | |
| 8 | 8 | |
| 9 | Extracting depth information from a stereo pair | 1 |
| 10 | A semantics-based decision theory region analyzer | 48 |
| 11 | Scene Analysis Using a Semantic Base for Region Growing. | 16 |
About Y. Yakimovsky
Y. Yakimovsky is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering, having authored 11 papers that have together received 382 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), Neural Networks and Applications (2 papers) and Data Visualization and Analytics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (289 citations), Media Technology (52 citations) and Geology (32 citations). Y. Yakimovsky has collaborated with scholars based in United States and Canada. Frequent co-authors include Jerome A. Feldman and Ryan Cunningham. Their work appears in journals such as Artificial Intelligence, Journal of the ACM and Computer Graphics and Image Processing.
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.