Yair Rivenson
- Artificial Intelligence top 0.5%
- Atomic and Molecular Physics, and Optics top 1%
- Electrical and Electronic Engineering top 2%
- Biomedical Engineering top 1%
- Media Technology top 0.1%
- Co-authors
- Aydogan ÖzcanYi LuoYibo ZhangAdrian SternHarun GünaydınMona JarrahiNezih Tolga YardimciMuhammed Veli
- Topics
- Digital Holography and Microscopy (52 papers)Cell Image Analysis Techniques (30 papers)Sparse and Compressive Sensing Techniques (26 papers)
- Journals
- ScienceNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesIsraelRussia
In The Last Decade
Yair Rivenson
119 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 2.4k
- Atomic and Molecular Physics, and Optics 2.4k
- Electrical and Electronic Engineering 2.2k
- Biomedical Engineering 1.8k
- Media Technology 1.6k
Countries citing papers authored by Yair Rivenson
This map shows the geographic impact of Yair Rivenson'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 Yair Rivenson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yair Rivenson more than expected).
Fields of papers citing papers by Yair Rivenson
This network shows the impact of papers produced by Yair Rivenson. 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 Yair Rivenson. The network helps show where Yair Rivenson may publish in the future.
Co-authorship network of co-authors of Yair Rivenson
This figure shows the co-authorship network connecting the top 25 collaborators of Yair Rivenson. A scholar is included among the top collaborators of Yair Rivenson 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 Yair Rivenson. Yair Rivenson 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 | 6 | |
| 3 | Computational imaging without a computer: seeing through random diffusers at the speed of lightbreakdown → | 125 |
| 4 | 32 | |
| 5 | 108 | |
| 6 | 62 | |
| 7 | 1 | |
| 8 | 138 | |
| 9 | 64 | |
| 10 | 126 | |
| 11 | 64 | |
| 12 | 20 | |
| 13 | PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learningbreakdown → | 255 |
| 14 | 198 | |
| 15 | 188 | |
| 16 | 98 | |
| 17 | Deep learning enables cross-modality super-resolution in fluorescence microscopybreakdown → | 539 |
| 18 | 64 | |
| 19 | 131 | |
| 20 | All-optical machine learning using diffractive deep neural networksbreakdown → | 1445 |
About Yair Rivenson
Yair Rivenson is a scholar working on Acoustics and Ultrasonics, Biophysics and Media Technology, having authored 124 papers that have together received 7.4k indexed citations. Recurring topics across this work include Digital Holography and Microscopy (52 papers), Cell Image Analysis Techniques (30 papers) and Sparse and Compressive Sensing Techniques (26 papers). The work is most often cited by research in Acoustics and Ultrasonics (687 citations), Biophysics (1.5k citations) and Media Technology (1.6k citations). Yair Rivenson has collaborated with scholars based in United States, Israel and Russia. Frequent co-authors include Aydogan Özcan, Yi Luo, Yibo Zhang, Adrian Stern, Harun Günaydın, Mona Jarrahi, Nezih Tolga Yardimci, Muhammed Veli, Hongda Wang and Xing Lin. Their work appears in journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.
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.