Pablo De Gracia

716 citations
27 papers · 484 indexed · h-index 13
Topics
Ophthalmology and Visual Impairment Studies (17 papers)Visual perception and processing mechanisms (10 papers)Corneal surgery and disorders (9 papers)

In The Last Decade

Pablo De Gracia

27 papers receiving 456 citations

Peers

Pablo De Gracia
Comparison fields: 5 of 55
  • Epidemiology 378
  • Ophthalmology 265
  • Radiology, Nuclear Medicine and Imaging 248
  • Cognitive Neuroscience 180
  • Computer Vision and Pattern Recognition 40
Replace Abhiram S. Vilupuru with:
Abhiram S. Vilupuru United States
Fuensanta A. Vera‐Díaz United States
Gordon Heron United Kingdom
Ian E. Pacey United Kingdom
Antonio J. Del Águila‐Carrasco Spain
Iván Marín‐Franch United States
PremNandhini Satgunam India
Anne Seidemann Germany
Rajaraman Suryakumar United States
Ronald Rabbetts United Kingdom
Pablo De Gracia relative to Abhiram S. Vilupuru United States Abhiram S. Vilupuru's profile →
Citations per field
00.5×2.8×
Abhiram S. Vilupuru · 1×
Citations per year

Countries citing papers authored by Pablo De Gracia

Since Specialization
Citations

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

Fields of papers citing papers by Pablo De Gracia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo De Gracia. 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 Pablo De Gracia. The network helps show where Pablo De Gracia may publish in the future.

Co-authorship network of co-authors of Pablo De Gracia

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo De Gracia. A scholar is included among the top collaborators of Pablo De Gracia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pablo De Gracia. Pablo De Gracia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 15
4 5
5
On the smartphone's light emission and its blue light contribution
1
6 16
7 10
8 10
9 27
10 48
11 22
12 34
13 12
14 50
15 3
16 40
17 62
18 39
19 39
20
Adapting to Blur Produced by Ocular High Order Aberrations
3

About Pablo De Gracia

Pablo De Gracia is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 27 papers that have together received 484 indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (17 papers), Visual perception and processing mechanisms (10 papers) and Corneal surgery and disorders (9 papers). The work is most often cited by research in Ophthalmology (265 citations), Epidemiology (378 citations) and Radiology, Nuclear Medicine and Imaging (248 citations). Pablo De Gracia has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Susana Marcos, Carlos Dorronsoro, Lucie Sawides, Osman B. Kavcar, María Viñas, Gildas Marin, S. Marcos, Enrique Gambra, Álvaro Sánchez‐González and Javier Ruiz‐Alcocer. Their work appears in journals such as PLoS ONE, Scientific Reports and Vision Research.

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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