Lena Gorelick
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 1%
- Biomedical Engineering top 5%
- Human-Computer Interaction top 1%
- Control and Systems Engineering top 10%
- Topics
- Medical Image Segmentation Techniques (11 papers)Advanced Neural Network Applications (10 papers)Advanced Image and Video Retrieval Techniques (8 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Medical ImagingInternational Journal of Computer Vision
- Partner nations
- CanadaIsraelUnited States
In The Last Decade
Lena Gorelick
17 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 2.5k
- Artificial Intelligence 1.1k
- Biomedical Engineering 714
- Human-Computer Interaction 363
- Control and Systems Engineering 98
Countries citing papers authored by Lena Gorelick
This map shows the geographic impact of Lena Gorelick'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 Lena Gorelick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lena Gorelick more than expected).
Fields of papers citing papers by Lena Gorelick
This network shows the impact of papers produced by Lena Gorelick. 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 Lena Gorelick. The network helps show where Lena Gorelick may publish in the future.
Co-authorship network of co-authors of Lena Gorelick
This figure shows the co-authorship network connecting the top 25 collaborators of Lena Gorelick. A scholar is included among the top collaborators of Lena Gorelick 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 Lena Gorelick. Lena Gorelick 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 | 30 | |
| 3 | 6 | |
| 4 | 24 | |
| 5 | 14 | |
| 6 | 26 | |
| 7 | 149 | |
| 8 | 94 | |
| 9 | 11 | |
| 10 | 23 | |
| 11 | 3 | |
| 12 | 14 | |
| 13 | 9 | |
| 14 | Actions as Space-Time Shapesbreakdown → | 976 |
| 15 | 155 | |
| 16 | Actions as space-time shapesbreakdown → | 1162 |
| 17 | 28 |
About Lena Gorelick
Lena Gorelick is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology, having authored 17 papers that have together received 2.7k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Advanced Neural Network Applications (10 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Human-Computer Interaction (363 citations) and Artificial Intelligence (1.1k citations). Lena Gorelick has collaborated with scholars based in Canada, Israel and United States. Frequent co-authors include Ronen Basri, Eli Shechtman, M. Irani, Miri Blank, Yuri Boykov, Olga Veksler, Meng Tang, Meirav Galun, E. Sharon and Achi Brandt. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and International Journal of Computer Vision.
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.