Javier de Vicente

33 total papers · 598 total citations
21 papers, 427 citations indexed

About

Javier de Vicente is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Control and Systems Engineering. According to data from OpenAlex, Javier de Vicente has authored 21 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Mechanics, 8 papers in Statistical and Nonlinear Physics and 4 papers in Control and Systems Engineering. Recurrent topics in Javier de Vicente's work include Computational Fluid Dynamics and Aerodynamics (12 papers), Fluid Dynamics and Turbulent Flows (11 papers) and Fluid Dynamics and Vibration Analysis (9 papers). Javier de Vicente is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (12 papers), Fluid Dynamics and Turbulent Flows (11 papers) and Fluid Dynamics and Vibration Analysis (9 papers). Javier de Vicente collaborates with scholars based in Spain, United States and Australia. Javier de Vicente's co-authors include Eusebio Valero, Adel T. Abbas, Vassilios Theofilis, Esteban Ferrer, François Fraysse, Julio Soria, Jérémy Basley, Daniel Rodríguez, Gonzalo Rubio and L. M. González and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Expert Systems with Applications.

In The Last Decade

Javier de Vicente

20 papers receiving 407 citations

Author Peers

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

Author						Papers	Cites
Javier de Vicente	333	211	78	43	27	21	427
Răzvan Florea	257 0.8×	250 1.2×	115 1.5×	103 2.4×	32 1.2×	28	377
Yann Fraigneau	356 1.1×	146 0.7×	79 1.0×	30 0.7×	12 0.4×	43	461
Cristina Riso	192 0.6×	259 1.2×	71 0.9×	55 1.3×	56 2.1×	36	378
Her Mann Tsai	370 1.1×	262 1.2×	64 0.8×	14 0.3×	39 1.4×	36	465
Stefan Keye	340 1.0×	266 1.3×	24 0.3×	59 1.4×	25 0.9×	33	463
Eric B. Ting	226 0.7×	378 1.8×	19 0.2×	84 2.0×	48 1.8×	43	435
Saloua Ben Khelil	264 0.8×	267 1.3×	19 0.2×	30 0.7×	13 0.5×	16	382
Ramji Kamakoti	346 1.0×	236 1.1×	19 0.2×	12 0.3×	27 1.0×	25	463
Mattias Chevalier	364 1.1×	134 0.6×	98 1.3×	60 1.4×	24 0.9×	16	420
Dionysios Angelidis	231 0.7×	165 0.8×	13 0.2×	38 0.9×	13 0.5×	16	384

Countries citing papers authored by Javier de Vicente

Since Specialization

Citations

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

Fields of papers citing papers by Javier de Vicente

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier de Vicente. 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 Javier de Vicente. The network helps show where Javier de Vicente may publish in the future.

Co-authorship network of co-authors of Javier de Vicente

This figure shows the co-authorship network connecting the top 25 collaborators of Javier de Vicente. A scholar is included among the top collaborators of Javier de Vicente 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 Javier de Vicente. Javier de Vicente 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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