Maria Lev
Impact in
- Cognitive Neuroscience top 5%
- Visual perception and processing mechanisms
- Face Recognition and Perception
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- Transcranial Magnetic Stimulation Studies
Papers in
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- Visual perception and processing mechanisms 42
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- Ophthalmology and Visual Impairment Studies 3
- Co-authors
- Uri Polat (43 shared papers)Oren Yehezkel (14 shared papers)Anna Sterkin (9 shared papers)Dennis Michael Levi (4 shared papers)Jianliang Tong (1 shared paper)Clifton M. Schor (1 shared paper)Ravid Doron (4 shared papers)Sharon Gilaie‐Dotan (4 shared papers)
- Journals
- Scientific Reports (18 papers)Journal of Vision (15 papers)Vision Research (4 papers)PLoS ONE (2 papers)Medicine & Science in Sports & Exercise (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Maria Lev
40 papers receiving 445 citations
Peers
Comparison fields: 5 of 40
- Cognitive Neuroscience 402
- Neurology 16
- Epidemiology 40
- Ophthalmology 10
- Developmental and Educational Psychology 13
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-authors
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
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 87 | |
| 2 | 2015 | 48 | |
| 3 | 2011 | 43 | |
| 4 | 2014 | 43 | |
| 5 | 2017 | 36 | |
| 6 | 2014 | 32 | |
| 7 | 2015 | 19 | |
| 8 | 2016 | 18 | |
| 9 | 2014 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2015 | 12 | |
| 12 | 2020 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2016 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2012 | 5 | |
| 18 | 2014 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2019 | 4 |
About Maria Lev
Maria Lev is a scholar working on Cognitive Neuroscience, Epidemiology, Ophthalmology, Psychiatry and Mental health and Nuclear Energy and Engineering, having authored 43 papers that have together received 463 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (42 papers), Ophthalmology and Visual Impairment Studies (3 papers), Ophthalmology and Visual Health Research (1 paper) and Attention Deficit Hyperactivity Disorder (1 paper). The work is most often cited by research in Cognitive Neuroscience (402 citations), Neurology (16 citations), Epidemiology (40 citations), Ophthalmology (10 citations) and Developmental and Educational Psychology (13 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 Michael Levi, Jianliang Tong, Clifton M. Schor, 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.