Maria Lev
- Cognitive Neuroscience top 5%
- Visual perception and processing mechanisms 38
- Neural dynamics and brain function 9
- Neural and Behavioral Psychology Studies 4
- Ophthalmology top 5%
- Ocular and Laser Science Research 5
- Glaucoma and retinal disorders 4
-
- Ophthalmology and Visual Impairment Studies 19
-
- Multisensory perception and integration 5
-
- Color Science and Applications 4
- Co-authors
- Uri PolatOren YehezkelAnna SterkinDennis M. LeviClifton M. SchorJianliang TongRavid DoronSharon Gilaie‐Dotan
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Maria Lev
37 papers receiving 401 citations
Peers
Comparison fields: 5 of 45
- Cognitive Neuroscience 385
- Ophthalmology 62
- Epidemiology 166
- Sensory Systems 20
- Experimental and Cognitive Psychology 39
Countries citing papers authored by Maria Lev
This map shows the geographic impact of Maria Lev'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 Maria Lev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Lev more than expected).
Fields of papers citing papers by Maria Lev
This network shows the impact of papers produced by Maria Lev. 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 Maria Lev. The network helps show where Maria Lev may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maria Lev, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 11 | |
| 10 | 2020 | 5 | |
| 11 | 2020 | 9 | |
| 12 | 2017 | 33 | |
| 13 | 2016 | 18 | |
| 14 | 2014 | 4 | |
| 15 | 2014 | 1 | |
| 16 | 2014 | 40 | |
| 17 | Digital precise remote near visual acuity evaluation using mobile devices | 2013 | 2 |
| 18 | 2013 | 1 | |
| 19 | 2012 | 79 | |
| 20 | 2011 | 41 |
About Maria Lev
Maria Lev is a scholar working on Cognitive Neuroscience, Ophthalmology, Epidemiology, Sensory Systems and Experimental and Cognitive Psychology, having authored 41 papers that have together received 419 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (38 papers), Ophthalmology and Visual Impairment Studies (19 papers), Neural dynamics and brain function (9 papers), Ocular and Laser Science Research (5 papers), Multisensory perception and integration (5 papers), Color Science and Applications (4 papers), Neural and Behavioral Psychology Studies (4 papers) and Glaucoma and retinal disorders (4 papers). The work is most often cited by research in Cognitive Neuroscience (385 citations), Ophthalmology (62 citations), Epidemiology (166 citations), Sensory Systems (20 citations) and Experimental and Cognitive Psychology (39 citations). Maria Lev has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Uri Polat, Oren Yehezkel, Anna Sterkin, Dennis M. Levi, Clifton M. Schor, Jianliang Tong, Ravid Doron, Sharon Gilaie‐Dotan, Philipp Sterzer and Karin Ludwig. Their work appears in journals such as Scientific Reports, Journal of Vision, Vision Research, PLoS ONE and Medicine & Science in Sports & Exercise.
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.