Liat Gantz

25 papers receiving 176 citations

Peers

Liat Gantz
Comparison fields: 5 of 45
  • Ophthalmology 73
  • Cognitive Neuroscience 69
  • Radiology, Nuclear Medicine and Imaging 56
  • Epidemiology 75
  • Human-Computer Interaction 11
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Endri Angjeli United States
Mhairi Day United Kingdom
Ali Mirzajani Iran
Abinaya Priya Venkataraman Sweden
Lisa M. Hamm New Zealand
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Takahiro Niida Japan
Seyed Hosein Hoseini-Yazdi Australia
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Countries citing papers authored by Liat Gantz

Since Specialization
Citations

This map shows the geographic impact of Liat Gantz'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 Liat Gantz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liat Gantz more than expected).

Fields of papers citing papers by Liat Gantz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liat Gantz. 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 Liat Gantz. The network helps show where Liat Gantz may publish in the future.

Co-authors

The 25 scholars most cited alongside Liat Gantz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liat Gantz Line = papers co-authored together Liat Gantz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200726
2 201821
3 201313
4 202112
5 201012
6 201111
7 202210
8 20159
9 20158
10 20238
11 20218
12 20208
13 20228
14 20206
15 20185
16 20193
17
Digital eye strain symptoms during online university learning in Israel and the USA during the COVID-19 pandemic
20212
18
Variation of Stereothreshold With Random-Dot Density
20082
19 20222
20 20122

About Liat Gantz

Liat Gantz is a scholar working on Ophthalmology, Epidemiology, Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 29 papers that have together received 181 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (13 papers), Ophthalmology and Visual Impairment Studies (11 papers), Ocular Surface and Contact Lens (9 papers), Visual perception and processing mechanisms (7 papers), Corneal surgery and disorders (6 papers), Corneal Surgery and Treatments (4 papers), Ergonomics and Musculoskeletal Disorders (3 papers) and Acne and Rosacea Treatments and Effects (2 papers). The work is most often cited by research in Ophthalmology (73 citations), Cognitive Neuroscience (69 citations), Radiology, Nuclear Medicine and Imaging (56 citations), Epidemiology (75 citations) and Human-Computer Interaction (11 citations). Liat Gantz has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Harold E. Bedell, Einat Shneor, Hadas Stiebel‐Kalish, Susana T. L. Chung, Saumil S. Patel, Lluïsa Quevedo i Junyent, Ronald S. Harwerth, Ariela Gordon‐Shaag, David P. Piñero and Avi Caspi. Their work appears in journals such as Journal of Optometry, Ophthalmic and Physiological Optics, Vision Research, Optometry and Vision Science and Investigative Ophthalmology & Visual Science.

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.

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