Miguel Damas
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 5%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Co-authors
- H. PomaresOresti BañosIgnacio RojasJuan Manuel GálvezJesús GonzálezClaudia VillalongaJuan A. Holgado-TerrizaJulio Ortega
- Topics
- Context-Aware Activity Recognition Systems (15 papers)Non-Invasive Vital Sign Monitoring (9 papers)Evolutionary Algorithms and Applications (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
- Partner nations
- SpainColombiaUnited Kingdom
In The Last Decade
Miguel Damas
54 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 859
- Biomedical Engineering 514
- Artificial Intelligence 425
- Computer Networks and Communications 324
- Electrical and Electronic Engineering 264
Countries citing papers authored by Miguel Damas
This map shows the geographic impact of Miguel Damas'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 Miguel Damas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Damas more than expected).
Fields of papers citing papers by Miguel Damas
This network shows the impact of papers produced by Miguel Damas. 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 Miguel Damas. The network helps show where Miguel Damas may publish in the future.
Co-authorship network of co-authors of Miguel Damas
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Damas. A scholar is included among the top collaborators of Miguel Damas 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 Miguel Damas. Miguel Damas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 10 | |
| 7 | 10 | |
| 8 | 17 | |
| 9 | 6 | |
| 10 | 45 | |
| 11 | 10 | |
| 12 | 33 | |
| 13 | 5 | |
| 14 | 11 | |
| 15 | 6 | |
| 16 | 63 | |
| 17 | Evaluating the effects of signal segmentation on activity recognition. | 7 |
| 18 | PhysioDroid: an app for physiological data monitoring. | 1 |
| 19 | 10 | |
| 20 | 19 |
About Miguel Damas
Miguel Damas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Applied Psychology, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (15 papers), Non-Invasive Vital Sign Monitoring (9 papers) and Evolutionary Algorithms and Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (859 citations), Human-Computer Interaction (102 citations) and Signal Processing (154 citations). Miguel Damas has collaborated with scholars based in Spain, Colombia and United Kingdom. Frequent co-authors include H. Pomares, Oresti Baños, Ignacio Rojas, Juan Manuel Gálvez, Jesús González, Claudia Villalonga, Juan A. Holgado-Terriza, Julio Ortega, Rafael B. García and Sungyong Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.
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.