Pablo De Gracia

51 total papers · 713 total citations
27 papers, 482 citations indexed

About

Pablo De Gracia is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Pablo De Gracia has authored 27 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 13 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Ophthalmology. Recurrent topics in Pablo De Gracia's work include Ophthalmology and Visual Impairment Studies (17 papers), Visual perception and processing mechanisms (10 papers) and Corneal surgery and disorders (9 papers). Pablo De Gracia is often cited by papers focused on Ophthalmology and Visual Impairment Studies (17 papers), Visual perception and processing mechanisms (10 papers) and Corneal surgery and disorders (9 papers). Pablo De Gracia collaborates with scholars based in Spain, United States and Mexico. Pablo De Gracia's co-authors include Susana Marcos, Carlos Dorronsoro, Lucie Sawides, Osman B. Kavcar, María Viñas, Gildas Marin, Enrique Gambra, S. Marcos, Álvaro Sánchez‐González and Javier Ruiz‐Alcocer and has published in prestigious journals such as PLoS ONE, Scientific Reports and Vision Research.

In The Last Decade

Pablo De Gracia

27 papers receiving 454 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pablo De Gracia 378 265 248 180 40 27 482
Antonio J. Del Águila‐Carrasco 355 0.9× 302 1.1× 296 1.2× 97 0.5× 9 0.2× 36 483
Ronald Rabbetts 282 0.7× 227 0.9× 254 1.0× 90 0.5× 29 0.7× 12 441
C FOWLER 115 0.3× 226 0.9× 154 0.6× 127 0.7× 52 1.3× 18 507
Beatriz Antona 267 0.7× 192 0.7× 162 0.7× 165 0.9× 11 0.3× 27 494
Ainhoa Molina‐Martín 238 0.6× 283 1.1× 213 0.9× 89 0.5× 12 0.3× 53 453
Robert Rosén 410 1.1× 312 1.2× 325 1.3× 113 0.6× 14 0.3× 36 514
David R. Neima 164 0.4× 225 0.8× 143 0.6× 160 0.9× 7 0.2× 14 449
Vijay Tailor 308 0.8× 316 1.2× 153 0.6× 212 1.2× 7 0.2× 32 545
Daniel Snydacker 88 0.2× 260 1.0× 152 0.6× 63 0.3× 15 0.4× 28 496
Lixia Feng 283 0.7× 172 0.6× 64 0.3× 331 1.8× 9 0.2× 21 427

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

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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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