Jesús Fontecha
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Computer Networks and Communications top 10%
- General Health Professions
- Human-Computer Interaction top 5%
- Co-authors
- José BravoRamón HervásIván GónzalezVladimir VillarrealIrvin Hussein López-NavaAngelica Muñoz-MeléndezFrancisco Jesús García NavarroFederico Castanedo
- Topics
- Context-Aware Activity Recognition Systems (18 papers)Mobile Health and mHealth Applications (8 papers)Frailty in Older Adults (7 papers)
- Cited by
- Physical Therapy, Sports Therapy and RehabilitationComputer Vision and Pattern RecognitionGeriatrics and Gerontology
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
In The Last Decade
Jesús Fontecha
38 papers receiving 579 citations
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 269
- Biomedical Engineering 145
- Computer Networks and Communications 114
- General Health Professions 80
- Human-Computer Interaction 70
Countries citing papers authored by Jesús Fontecha
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 23 | |
| 7 | 19 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 33 | |
| 11 | 17 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 80 | |
| 16 | 2 | |
| 17 | 35 | |
| 18 | 30 | |
| 19 | 64 | |
| 20 | 21 |
About Jesús Fontecha
Jesús Fontecha is a scholar working on Geriatrics and Gerontology, Physical Therapy, Sports Therapy and Rehabilitation and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 597 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (18 papers), Mobile Health and mHealth Applications (8 papers) and Frailty in Older Adults (7 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (61 citations), Computer Vision and Pattern Recognition (269 citations) and Geriatrics and Gerontology (51 citations). Jesús Fontecha has collaborated with scholars based in Spain, Mexico and Panama. Frequent co-authors include José Bravo, Ramón Hervás, Iván Gónzalez, Vladimir Villarreal, Irvin Hussein López-Nava, Angelica Muñoz-Meléndez, Francisco Jesús García Navarro, Federico Castanedo, Diego López–de–Ipiña and Theodore Lim. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.