Fernando Aparici

88 total papers · 1.3k total citations
40 papers, 522 citations indexed

About

Fernando Aparici is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fernando Aparici has authored 40 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 11 papers in Pulmonary and Respiratory Medicine and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fernando Aparici's work include Intracranial Aneurysms: Treatment and Complications (12 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Vascular Malformations Diagnosis and Treatment (6 papers). Fernando Aparici is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (12 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Vascular Malformations Diagnosis and Treatment (6 papers). Fernando Aparici collaborates with scholars based in Spain, France and United Kingdom. Fernando Aparici's co-authors include Petra Braun, F. Más-Estellés, Khuram Kazmi, Elies Fuster‐García, Juan M. García‐Gómez, Luis Martí‐Bonmatí, Javier Juan–Albarracín, José V. Manjón, José Ignacio Tembl and Aída Lago and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Fernando Aparici

35 papers receiving 509 citations

Author Peers

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

Author						Papers	Cites
Fernando Aparici	143	133	125	103	79	40	522
J. Ito	88 0.6×	224 1.7×	118 0.9×	124 1.2×	96 1.2×	29	561
Matia Martucci	140 1.0×	179 1.3×	81 0.6×	108 1.0×	54 0.7×	23	484
Jianping Chu	108 0.8×	69 0.5×	245 2.0×	161 1.6×	89 1.1×	41	536
Dorothea Miller	105 0.7×	189 1.4×	127 1.0×	119 1.2×	40 0.5×	39	582
Yuankui Wu	91 0.6×	75 0.6×	219 1.8×	70 0.7×	77 1.0×	58	525
J.-N. Vallée	194 1.4×	117 0.9×	143 1.1×	70 0.7×	31 0.4×	19	497
Galal Elsayed	82 0.6×	132 1.0×	79 0.6×	122 1.2×	49 0.6×	39	559
Moritz Scherer	166 1.2×	123 0.9×	171 1.4×	175 1.7×	65 0.8×	56	610
Aria Jamshidi	90 0.6×	80 0.6×	77 0.6×	209 2.0×	77 1.0×	44	517
D.G.T. Thomas	135 0.9×	181 1.4×	91 0.7×	187 1.8×	122 1.5×	25	566

Countries citing papers authored by Fernando Aparici

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Aparici

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Aparici

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Aparici. A scholar is included among the top collaborators of Fernando Aparici 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 Fernando Aparici. Fernando Aparici 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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