Javier V. Gómez

48 total papers · 579 total citations
32 papers, 392 citations indexed

About

Javier V. Gómez is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Javier V. Gómez has authored 32 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 14 papers in Aerospace Engineering and 9 papers in Computer Networks and Communications. Recurrent topics in Javier V. Gómez's work include Robotic Path Planning Algorithms (21 papers), Robotics and Sensor-Based Localization (11 papers) and Distributed Control Multi-Agent Systems (6 papers). Javier V. Gómez is often cited by papers focused on Robotic Path Planning Algorithms (21 papers), Robotics and Sensor-Based Localization (11 papers) and Distributed Control Multi-Agent Systems (6 papers). Javier V. Gómez collaborates with scholars based in Spain, Greece and Norway. Javier V. Gómez's co-authors include Santiago Garrido, Luís Moreno, Nikolaos Mavridis, Eduardo Zalama, José R. Perán, Frode Eika Sandnes, Pedro U. Lima, Daniel Valderas, Carlos Gómez and Borja Fernández and has published in prestigious journals such as Sensors, Robotics and Autonomous Systems and Journal of Clinical Medicine.

In The Last Decade

Javier V. Gómez

30 papers receiving 373 citations

Author Peers

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

Author						Papers	Cites
Javier V. Gómez	254	135	101	79	72	32	392
Nong Gu	121 0.5×	118 0.9×	120 1.2×	84 1.1×	59 0.8×	32	410
Mario Gianni	153 0.6×	147 1.1×	88 0.9×	36 0.5×	78 1.1×	40	419
P.J. Probert	218 0.9×	174 1.3×	94 0.9×	69 0.9×	30 0.4×	48	430
G. Benet	160 0.6×	140 1.0×	77 0.8×	43 0.5×	90 1.3×	37	432
Marko Car	142 0.6×	171 1.3×	82 0.8×	32 0.4×	71 1.0×	24	348
Jingyi Liu	156 0.6×	61 0.5×	59 0.6×	50 0.6×	29 0.4×	48	387
Eduardo Oliveira Freire	243 1.0×	113 0.8×	159 1.6×	27 0.3×	48 0.7×	60	437
Aurélio G. Melo	194 0.8×	184 1.4×	102 1.0×	36 0.5×	54 0.8×	24	380
Fernando Martín	226 0.9×	176 1.3×	118 1.2×	35 0.4×	30 0.4×	29	443
Guillaume Allibert	239 0.9×	169 1.3×	122 1.2×	88 1.1×	23 0.3×	25	400

Countries citing papers authored by Javier V. Gómez

Since Specialization

Citations

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

Fields of papers citing papers by Javier V. Gómez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier V. Gómez

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