Jesús Fontecha

80 total papers · 965 total citations
41 papers, 597 citations indexed

About

Jesús Fontecha is a scholar working on Computer Vision and Pattern Recognition, General Health Professions and Geriatrics and Gerontology. According to data from OpenAlex, Jesús Fontecha has authored 41 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 8 papers in General Health Professions and 7 papers in Geriatrics and Gerontology. Recurrent topics in Jesús Fontecha's work include Context-Aware Activity Recognition Systems (18 papers), Mobile Health and mHealth Applications (8 papers) and Balance, Gait, and Falls Prevention (7 papers). Jesús Fontecha is often cited by papers focused on Context-Aware Activity Recognition Systems (18 papers), Mobile Health and mHealth Applications (8 papers) and Balance, Gait, and Falls Prevention (7 papers). Jesús Fontecha collaborates with scholars based in Spain, Panama and Mexico. Jesús Fontecha's co-authors include José Bravo, Ramón Hervás, Iván Gónzalez, Vladimir Villarreal, Angelica Muñoz-Meléndez, Irvin Hussein López-Nava, Francisco Jesús García Navarro, Federico Castanedo, Diego López–de–Ipiña and Theodore Lim and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Jesús Fontecha

37 papers receiving 579 citations

Author Peers

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

Author						Papers	Cites
Jesús Fontecha	270	145	114	80	72	41	597
Pierre Barralon	304 1.1×	213 1.5×	76 0.7×	33 0.4×	38 0.5×	30	564
Antti Särelä	122 0.5×	147 1.0×	41 0.4×	129 1.6×	35 0.5×	19	529
Gina Sprint	194 0.7×	88 0.6×	100 0.9×	31 0.4×	16 0.2×	30	527
Y. Higashi	127 0.5×	123 0.8×	24 0.2×	39 0.5×	28 0.4×	39	584
Carmen Abbott	230 0.9×	211 1.5×	25 0.2×	63 0.8×	26 0.4×	32	605
Karla Félix Navarro	121 0.4×	78 0.5×	90 0.8×	29 0.4×	116 1.6×	31	591
David Mack	389 1.4×	373 2.6×	90 0.8×	59 0.7×	13 0.2×	12	692
Inês Sousa	196 0.7×	206 1.4×	37 0.3×	30 0.4×	23 0.3×	51	563
Alison Burrows	132 0.5×	63 0.4×	108 0.9×	63 0.8×	62 0.9×	31	562
Guglielmo Cola	345 1.3×	294 2.0×	92 0.8×	15 0.2×	41 0.6×	23	561

Countries citing papers authored by Jesús Fontecha

Since Specialization

Citations

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

Fields of papers citing papers by Jesús Fontecha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesús Fontecha

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