Manuel Gil-Martín
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Neurology
- Signal Processing top 10%
- Co-authors
- Rubén San-SegundoJosé Manuel PardoLuis Fernando D’HaroJuan Manuel MonteroFernando Fernández-MartínezJavier FerreirosAllan StisenHenrik Blunck
- Topics
- Context-Aware Activity Recognition Systems (11 papers)Human Pose and Action Recognition (9 papers)Non-Invasive Vital Sign Monitoring (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsSensors
In The Last Decade
Manuel Gil-Martín
27 papers receiving 475 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 198
- Cognitive Neuroscience 139
- Biomedical Engineering 124
- Neurology 80
- Signal Processing 77
Countries citing papers authored by Manuel Gil-Martín
This map shows the geographic impact of Manuel Gil-Martín'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 Manuel Gil-Martín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Gil-Martín more than expected).
Fields of papers citing papers by Manuel Gil-Martín
This network shows the impact of papers produced by Manuel Gil-Martín. 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 Manuel Gil-Martín. The network helps show where Manuel Gil-Martín may publish in the future.
Co-authorship network of co-authors of Manuel Gil-Martín
This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Gil-Martín. A scholar is included among the top collaborators of Manuel Gil-Martín 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 Manuel Gil-Martín. Manuel Gil-Martín is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | 13 | |
| 18 | 5 | |
| 19 | 9 | |
| 20 | 122 |
About Manuel Gil-Martín
Manuel Gil-Martín is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 35 papers that have together received 497 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (11 papers), Human Pose and Action Recognition (9 papers) and Non-Invasive Vital Sign Monitoring (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Signal Processing (77 citations) and Cognitive Neuroscience (139 citations). Manuel Gil-Martín has collaborated with scholars based in Spain, Italy and France. Frequent co-authors include Rubén San-Segundo, José Manuel Pardo, Luis Fernando D’Haro, Juan Manuel Montero, Fernando Fernández-Martínez, Javier Ferreiros, Allan Stisen, Henrik Blunck, Ana Mateos and Ricardo de Córdoba. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications 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.