Tomer Michaeli
Impact in
- Structural Biology top 2%
- Advanced Electron Microscopy Techniques and Applications
- Biophysics top 0.5%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
Papers in
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- Advanced Fluorescence Microscopy Techniques 7
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- Image and Signal Denoising Methods 12
- Generative Adversarial Networks and Image Synthesis 8
- Co-authors
- Yoav ShechtmanLucien E. WeissMichal IraniElias NehmeYonina C. EldarYair NoamLeonid KarlinskyTali Dekel
- Journals
- IEEE Transactions on Signal Processing (6 papers)ACM Transactions on Graphics (3 papers)Optics Express (2 papers)IEEE Signal Processing Letters (1 paper)Journal of Clinical Medicine (1 paper)
- Partner nations
- IsraelUnited StatesJapan
In The Last Decade
Tomer Michaeli
59 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Structural Biology 105
- Biophysics 367
- Media Technology 334
- Acoustics and Ultrasonics 31
- Computer Vision and Pattern Recognition 550
Countries citing papers authored by Tomer Michaeli
This map shows the geographic impact of Tomer Michaeli'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 Tomer Michaeli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomer Michaeli more than expected).
Fields of papers citing papers by Tomer Michaeli
This network shows the impact of papers produced by Tomer Michaeli. 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 Tomer Michaeli. The network helps show where Tomer Michaeli may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomer Michaeli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 21 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 31 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 9 | |
| 13 | Deep Self-Dissimilarities as Powerful Visual Fingerprints | 2021 | 1 |
| 14 | The Implicit Bias of Minima Stability: A View from Function Space | 2021 | 5 |
| 15 | Dense three dimensional localization microscopy by deep learning | 2019 | 3 |
| 16 | Revealing Common Statistical Behaviors in Heterogeneous Populations | 2018 | 1 |
| 17 | Nonparametric canonical correlation analysis | 2016 | 24 |
| 18 | Simultaneous tracking and data association in an extended maneuvering target using the IMM methodology | 2014 | 0 |
| 19 | A unified approach to state estimation problems under data and model uncertainties | 2012 | 4 |
| 20 | 2010 | 23 |
About Tomer Michaeli
Tomer Michaeli is a scholar working on Biophysics, Computer Vision and Pattern Recognition, Signal Processing, Media Technology and Structural Biology, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (12 papers), Image and Signal Denoising Methods (12 papers), Generative Adversarial Networks and Image Synthesis (8 papers), Advanced Fluorescence Microscopy Techniques (7 papers), Blind Source Separation Techniques (6 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Image Processing Techniques and Applications (6 papers) and Mathematical Analysis and Transform Methods (4 papers). The work is most often cited by research in Structural Biology (105 citations), Biophysics (367 citations), Media Technology (334 citations), Acoustics and Ultrasonics (31 citations) and Computer Vision and Pattern Recognition (550 citations). Tomer Michaeli has collaborated with scholars based in Israel, United States and Japan. Frequent co-authors include Yoav Shechtman, Lucien E. Weiss, Michal Irani, Elias Nehme, Yonina C. Eldar, Yair Noam, Leonid Karlinsky, Tali Dekel, Weiran Wang and Karen Livescu. Their work appears in journals such as IEEE Transactions on Signal Processing, ACM Transactions on Graphics, Optics Express, IEEE Signal Processing Letters and Journal of Clinical Medicine.
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.