Lihi Zelnik‐Manor
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.5%
- Sensory Systems top 0.5%
- Media Technology top 0.5%
- Cognitive Neuroscience top 5%
- Co-authors
- Ayellet TalPietro PeronaM. IraniYonina C. EldarItamar FriedmanAsaf NoyEmanuel Ben-BaruchTal Ridnik
- Topics
- Advanced Image and Video Retrieval Techniques (22 papers)Advanced Vision and Imaging (18 papers)Robotics and Sensor-Based Localization (11 papers)
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Signal Processing
- Partner nations
- IsraelUnited StatesCayman Islands
In The Last Decade
Lihi Zelnik‐Manor
55 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Computer Vision and Pattern Recognition 5.0k
- Artificial Intelligence 1.4k
- Sensory Systems 849
- Media Technology 687
- Cognitive Neuroscience 496
Countries citing papers authored by Lihi Zelnik‐Manor
This map shows the geographic impact of Lihi Zelnik‐Manor'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 Lihi Zelnik‐Manor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lihi Zelnik‐Manor more than expected).
Fields of papers citing papers by Lihi Zelnik‐Manor
This network shows the impact of papers produced by Lihi Zelnik‐Manor. 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 Lihi Zelnik‐Manor. The network helps show where Lihi Zelnik‐Manor may publish in the future.
Co-authorship network of co-authors of Lihi Zelnik‐Manor
This figure shows the co-authorship network connecting the top 25 collaborators of Lihi Zelnik‐Manor. A scholar is included among the top collaborators of Lihi Zelnik‐Manor 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 Lihi Zelnik‐Manor. Lihi Zelnik‐Manor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | Asymmetric Loss For Multi-Label Classificationbreakdown → | 323 |
| 3 | 6 | |
| 4 | 26 | |
| 5 | Dynamic-Net: Tuning the Objective Without Re-training. | 2 |
| 6 | 84 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 12 | |
| 10 | Context-Aware Saliency Detectionbreakdown → | 1122 |
| 11 | 2 | |
| 12 | Large Scale Max-Margin Multi-Label Classification with Priors | 93 |
| 13 | 42 | |
| 14 | 9 | |
| 15 | 78 | |
| 16 | Self-Tuning Spectral Clusteringbreakdown → | 1272 |
| 17 | 68 | |
| 18 | 6 | |
| 19 | 64 | |
| 20 | 43 |
About Lihi Zelnik‐Manor
Lihi Zelnik‐Manor is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 57 papers that have together received 6.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (22 papers), Advanced Vision and Imaging (18 papers) and Robotics and Sensor-Based Localization (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.0k citations), Sensory Systems (849 citations) and Media Technology (687 citations). Lihi Zelnik‐Manor has collaborated with scholars based in Israel, United States and Cayman Islands. Frequent co-authors include Ayellet Tal, Pietro Perona, M. Irani, Yonina C. Eldar, Itamar Friedman, Asaf Noy, Emanuel Ben-Baruch, Tal Ridnik, Matan Protter and Tal Hassner. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Signal 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.