Fernando Ussa

525 citations
17 papers · 435 · h-index 8

Impact in

Papers in

Fernando Ussa

15 papers receiving 428 citations

Peers

Fernando Ussa
Comparison fields: 5 of 60
  • Ophthalmology 221
  • Radiology, Nuclear Medicine and Imaging 167
  • Public Health, Environmental and Occupational Health 88
  • Neurology 18
  • Pharmaceutical Science 10
Replace Katherine M. Oliver with:
Katherine M. Oliver United Kingdom
Alex K. Nugent United States
Joris Meurs Netherlands
Hideji Ichijima United States
Wendy W. Harrison United States
Hugo Quiroz-Mercado Mexico
Audra M. A. Shadforth Australia
Peter Ruokonen Germany
Stavros N. Moysidis United States
Fabiano Cade United States
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Citations per field
00.5×2×2.9×
Katherine M. Oliver · 1×
Citations per year

Countries citing papers authored by Fernando Ussa

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Ussa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fernando Ussa, 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 Fernando Ussa Line = papers co-authored together Fernando Ussa links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2011248
2 201150
3 201141
4 201531
5 200522
6 201711
7 20189
8
Patient persistence with first-line antiglaucomatous monotherapy
20108
9 20224
10 20084
11 20143
12 20121
13
Noninvasive Intraocular Pressure Monitorization With a Sensing Contact Lens
20101
14 20221
15 20151
16 20110
17 20220

About Fernando Ussa

Fernando Ussa is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Human-Computer Interaction, Public Health, Environmental and Occupational Health and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 435 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (13 papers), Corneal surgery and disorders (2 papers), Gaze Tracking and Assistive Technology (2 papers), Ocular Surface and Contact Lens (2 papers), Retinal Diseases and Treatments (2 papers), Neuroscience and Neural Engineering (1 paper), Neutropenia and Cancer Infections (1 paper) and Retinopathy of Prematurity Studies (1 paper). The work is most often cited by research in Ophthalmology (221 citations), Radiology, Nuclear Medicine and Imaging (167 citations), Public Health, Environmental and Occupational Health (88 citations), Neurology (18 citations) and Pharmaceutical Science (10 citations). Fernando Ussa has collaborated with scholars based in Spain, United Kingdom and Saudi Arabia. Frequent co-authors include Raúl Martín, Irene Sánchez, Ivan Fernandez‐Bueno, Ana Moya, V. N. Laukhin, Rosa Villa, Jordi Aguiló, Jaume Veciana, Elena E. Laukhina and Concepció Rovira. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Sensors and Actuators A Physical, Ophthalmology, JAMA Ophthalmology and Graefe s Archive for Clinical and Experimental Ophthalmology.

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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