Jesús Fontecha

975 total citations
43 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 43 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 Frailty in Older Adults (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 Frailty in Older Adults (7 papers). Jesús Fontecha collaborates with scholars based in Spain, Mexico and Panama. Jesús Fontecha's co-authors include José Bravo, Ramón Hervás, Iván Gónzalez, Vladimir Villarreal, Angelica Muñoz-Meléndez, Irvin Hussein López-Nava, Federico Castanedo, Diego López–de–Ipiña, Francisco Jesús García Navarro 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

38 papers receiving 579 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jesús Fontecha Spain 15 269 145 114 80 70 43 597
Ramón Hervás Spain 20 467 1.7× 152 1.0× 217 1.9× 93 1.2× 172 2.5× 91 1.1k
Cliodhna Ní Scanaill Ireland 13 279 1.0× 238 1.6× 87 0.8× 62 0.8× 36 0.5× 16 746
Josef Hallberg Sweden 16 435 1.6× 169 1.2× 218 1.9× 70 0.9× 74 1.1× 47 920
Thanos G. Stavropoulos Greece 16 344 1.3× 100 0.7× 197 1.7× 96 1.2× 28 0.4× 61 1000
Pierre Barralon France 10 304 1.1× 213 1.5× 76 0.7× 33 0.4× 38 0.5× 30 564
Mounir Mokhtari France 13 245 0.9× 227 1.6× 122 1.1× 62 0.8× 48 0.7× 59 852
Kåre Synnes Sweden 16 413 1.5× 156 1.1× 268 2.4× 40 0.5× 102 1.5× 57 901
Majd Alwan United States 13 184 0.7× 89 0.6× 50 0.4× 83 1.0× 23 0.3× 19 463
Gina Sprint United States 12 194 0.7× 89 0.6× 100 0.9× 31 0.4× 16 0.2× 30 529
José Luis Sevillano Spain 17 123 0.5× 136 0.9× 149 1.3× 75 0.9× 94 1.3× 75 846

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

20 of 20 papers shown
1.
Gónzalez, Iván, et al.. (2024). Direct Memory Access-Based Data Storage for Long-Term Acquisition Using Wearables in an Energy-Efficient Manner. Sensors. 24(15). 4982–4982. 1 indexed citations
2.
Gónzalez, Iván, et al.. (2022). Analysis of Dual-Tasking Effect on Gait Variability While Interacting with Mobile Devices. Mathematics. 11(1). 202–202. 3 indexed citations
3.
Murillo-Escobar, M.A., et al.. (2022). Telehealth Secure Solution to Provide Childhood Obesity Monitoring. Sensors. 22(3). 1213–1213. 3 indexed citations
4.
Hervás, Ramón, et al.. (2020). Characterisation of mobile-device tasks by their associated cognitive load through EEG data processing. Future Generation Computer Systems. 113. 380–390. 23 indexed citations
5.
Hervás, Ramón, et al.. (2019). Analysis of Cognitive Load Using EEG when Interacting with Mobile Devices. SHILAP Revista de lepidopterología. 70–70. 19 indexed citations
6.
Fontecha, Jesús, et al.. (2019). Using Conversational Assistants and Connected Devices to Promote a Responsible Energy Consumption at Home. SHILAP Revista de lepidopterología. 32–32. 4 indexed citations
7.
Fontecha, Jesús, Iván Gónzalez, & José Bravo. (2019). A usability study of a mHealth system for diabetes self-management based on framework analysis and usability problem taxonomy methods. Journal of Ambient Intelligence and Humanized Computing. 14(1). 5–15. 8 indexed citations
8.
Arnrich, Bert, et al.. (2017). A multi-site study on walkability, data sharing and privacy perception using mobile sensing data gathered from the mk-sense platform. Journal of Ambient Intelligence and Humanized Computing. 10(6). 2199–2211. 5 indexed citations
9.
Gónzalez, Iván, Jesús Fontecha, Ramón Hervás, & José Bravo. (2016). Estimation of Temporal Gait Events from a Single Accelerometer Through the Scale-Space Filtering Idea. Journal of Medical Systems. 40(12). 251–251. 17 indexed citations
10.
11.
Villarreal, Vladimir, Ramón Hervás, Jesús Fontecha, & José Bravo. (2015). Mobile Monitoring Framework to Design Parameterized and Personalized m-Health Applications According to the Patient’s Diseases. Journal of Medical Systems. 39(10). 132–132. 8 indexed citations
12.
Fontecha, Jesús, et al.. (2015). Towards Context-Aware and User-Centered Analysis in Assistive Environments:. Journal of Medical Systems. 39(10). 291–291. 3 indexed citations
13.
Fontecha, Jesús, et al.. (2015). NFC as a Childhood Obesity Treatment Tool. Journal of Medical Systems. 39(9). 96–96. 6 indexed citations
14.
Gónzalez, Iván, Jesús Fontecha, Ramón Hervás, & José Bravo. (2015). An Ambulatory System for Gait Monitoring Based on Wireless Sensorized Insoles. Sensors. 15(7). 16589–16613. 80 indexed citations
15.
Fontecha, Jesús, Ramón Hervás, & José Bravo. (2014). Mobile Services Infrastructure for Frailty Diagnosis Support based on Gower’s Similarity Coefficient and Treemaps. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Villarreal, Vladimir, Jesús Fontecha, Ramón Hervás, & José Bravo. (2013). Mobile and ubiquitous architecture for the medical control of chronic diseases through the use of intelligent devices: Using the architecture for patients with diabetes. Future Generation Computer Systems. 34. 161–175. 30 indexed citations
17.
Fontecha, Jesús, et al.. (2013). A Mobile and Ubiquitous Approach for Supporting Frailty Assessment in Elderly People. Journal of Medical Internet Research. 15(9). e197–e197. 35 indexed citations
18.
Bravo, José, Jesús Fontecha, Francisco Jesús García Navarro, & Ramón Hervás. (2011). A mobile proposal for frailty monitoring by rehabilitation and physical daily activity. 14. 176–180. 11 indexed citations
19.
Fontecha, Jesús, et al.. (2010). Mobile Prescription: An NFC-Based Proposal for AAL. 27–32. 21 indexed citations
20.
Hervás, Ramón, José Bravo, & Jesús Fontecha. (2010). A Context Model based on Ontological Languages: a Proposal for Information Visualization. JUCS - Journal of Universal Computer Science. 16. 1539–1555. 64 indexed citations

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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