Joel Ratsaby
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Numerical Analysis
- Computational Mechanics
- Co-authors
- Martin AnthonySantosh S. VenkateshVitaly MaiorovV. MaiorovRon MeirLászló KovácsRonny MeirBernard Ycart
- Topics
- Machine Learning and Algorithms (34 papers)Algorithms and Data Compression (22 papers)Machine Learning and Data Classification (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceChaos Solitons & Fractals
- Partner nations
- IsraelUnited KingdomFrance
In The Last Decade
Joel Ratsaby
44 papers receiving 252 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 220
- Computer Vision and Pattern Recognition 70
- Computational Theory and Mathematics 56
- Numerical Analysis 30
- Computational Mechanics 23
Countries citing papers authored by Joel Ratsaby
This map shows the geographic impact of Joel Ratsaby'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 Joel Ratsaby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel Ratsaby more than expected).
Fields of papers citing papers by Joel Ratsaby
This network shows the impact of papers produced by Joel Ratsaby. 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 Joel Ratsaby. The network helps show where Joel Ratsaby may publish in the future.
Co-authorship network of co-authors of Joel Ratsaby
This figure shows the co-authorship network connecting the top 25 collaborators of Joel Ratsaby. A scholar is included among the top collaborators of Joel Ratsaby 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 Joel Ratsaby. Joel Ratsaby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | The performance of a new hybrid classifier based on boxes and nearest neighbors | 5 |
| 12 | 4 | |
| 13 | 14 | |
| 14 | Some Consequences of the Complexity of Intelligent Prediction | 2 |
| 15 | 4 | |
| 16 | 0 | |
| 17 | 16 | |
| 18 | 12 | |
| 19 | An Incremental Nearest Neighbor Algorithm with Queries | 1 |
| 20 | 10 |
About Joel Ratsaby
Joel Ratsaby is a scholar working on Artificial Intelligence, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics, having authored 54 papers that have together received 287 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (34 papers), Algorithms and Data Compression (22 papers) and Machine Learning and Data Classification (15 papers). The work is most often cited by research in Artificial Intelligence (220 citations), Numerical Analysis (30 citations) and Computational Theory and Mathematics (56 citations). Joel Ratsaby has collaborated with scholars based in Israel, United Kingdom and France. Frequent co-authors include Martin Anthony, Santosh S. Venkatesh, Vitaly Maiorov, V. Maiorov, Ron Meir, László Kovács, Ronny Meir and Bernard Ycart. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Chaos Solitons & Fractals.
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.