Eyal Krupka
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 1%
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Cognitive Neuroscience
- Co-authors
- Ido LeichterAlon VinnikovDaniel Z. FreedmanNaftali TishbyDavid KimJamie ShottonChristoph RhemannCem Keskin
- Topics
- Face and Expression Recognition (4 papers)Advanced Image and Video Retrieval Techniques (4 papers)Hand Gesture Recognition Systems (3 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Machine Learning ResearchComputer Speech & Language
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Eyal Krupka
12 papers receiving 381 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 264
- Human-Computer Interaction 259
- Control and Systems Engineering 121
- Artificial Intelligence 66
- Cognitive Neuroscience 63
Countries citing papers authored by Eyal Krupka
This map shows the geographic impact of Eyal Krupka'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 Eyal Krupka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eyal Krupka more than expected).
Fields of papers citing papers by Eyal Krupka
This network shows the impact of papers produced by Eyal Krupka. 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 Eyal Krupka. The network helps show where Eyal Krupka may publish in the future.
Co-authorship network of co-authors of Eyal Krupka
This figure shows the co-authorship network connecting the top 25 collaborators of Eyal Krupka. A scholar is included among the top collaborators of Eyal Krupka 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 Eyal Krupka. Eyal Krupka 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 | 9 | |
| 3 | 3 | |
| 4 | 15 | |
| 5 | Accurate, Robust, and Flexible Real-time Hand Trackingbreakdown → | 285 |
| 6 | 22 | |
| 7 | 12 | |
| 8 | 6 | |
| 9 | Generalization from Observed to Unobserved Features by Clustering | 6 |
| 10 | Learning to Select Features using their Properties | 13 |
| 11 | Incorporating Prior Knowledge on Features into Learning | 21 |
| 12 | Generalization in Clustering with Unobserved Features | 7 |
About Eyal Krupka
Eyal Krupka is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Signal Processing, having authored 12 papers that have together received 400 indexed citations. Recurring topics across this work include Face and Expression Recognition (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Human-Computer Interaction (259 citations), Computer Vision and Pattern Recognition (264 citations) and Control and Systems Engineering (121 citations). Eyal Krupka has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Ido Leichter, Alon Vinnikov, Daniel Z. Freedman, Naftali Tishby, David Kim, Jamie Shotton, Christoph Rhemann, Cem Keskin, Shahram Izadi and Yichen Wei. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Machine Learning Research and Computer Speech & Language.
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.