Matan Levy
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant Surface Properties and Treatments
- Wheat and Barley Genetics and Pathology
- Plant-Microbe Interactions and Immunity
- Plant Stress Responses and Tolerance
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- Autophagy in Disease and Therapy
Papers in
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- Plant Molecular Biology Research 8
- Postharvest Quality and Shelf Life Management 1
- Plant Surface Properties and Treatments 1
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- Multimodal Machine Learning Applications 2
- Co-authors
- Naomi Ori (9 shared papers)Maya Bar (4 shared papers)Alon Israeli (5 shared papers)Oren Tzfadia (2 shared papers)Yves Van de Peer (2 shared papers)Dani Lischinski (3 shared papers)Rami Ben‐Ari (4 shared papers)Hadas Peled‐Zehavi (1 shared paper)
In The Last Decade
Matan Levy
15 papers receiving 505 citations
Peers
Comparison fields: 5 of 16
- Plant Science 293
- Epidemiology 53
- Computer Vision and Pattern Recognition 18
- Molecular Biology 42
- Biotechnology 4
Countries citing papers authored by Matan Levy
This map shows the geographic impact of Matan Levy'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 Matan Levy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matan Levy more than expected).
Fields of papers citing papers by Matan Levy
This network shows the impact of papers produced by Matan Levy. 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 Matan Levy. The network helps show where Matan Levy may publish in the future.
Co-authors
The 25 scholars most cited alongside Matan Levy, 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 | 2016 | 130 | |
| 2 | 2016 | 68 | |
| 3 | 2016 | 65 | |
| 4 | 2016 | 46 | |
| 5 | 2019 | 44 | |
| 6 | 2018 | 33 | |
| 7 | 1999 | 23 | |
| 8 | 2018 | 22 | |
| 9 | 2022 | 20 | |
| 10 | 2024 | 20 | |
| 11 | 2023 | 19 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 0 | |
| 17 | 2026 | 0 |
About Matan Levy
Matan Levy is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Information Systems, Epidemiology and Molecular Biology, having authored 17 papers that have together received 512 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (8 papers), Multimodal Machine Learning Applications (2 papers), Autophagy in Disease and Therapy (1 paper), Postharvest Quality and Shelf Life Management (1 paper), Information Retrieval and Search Behavior (1 paper), Plant Surface Properties and Treatments (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Plant Science (293 citations), Epidemiology (53 citations), Computer Vision and Pattern Recognition (18 citations), Molecular Biology (42 citations) and Biotechnology (4 citations). Matan Levy has collaborated with scholars based in Israel, Germany and France. Frequent co-authors include Naomi Ori, Maya Bar, Alon Israeli, Oren Tzfadia, Yves Van de Peer, Dani Lischinski, Rami Ben‐Ari, Hadas Peled‐Zehavi, Asaph Aharoni and Gad Galili. Their work appears in journals such as The Plant Cell, The Plant Journal, PLANT PHYSIOLOGY, Development and PLoS Genetics.
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.