Manuel Ramos‐Cabrer
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Sociology and Political Science top 10%
- Computer Networks and Communications top 5%
- Co-authors
- Alberto Gil‐SollaJosé J. Pazos‐AriasMartín López‐NoresYolanda Blanco‐FernándezAna Fernández VilasRebeca P. Dı́az RedondoJorge García‐DuqueJack F. Bravo‐Torres
- Topics
- Recommender Systems and Techniques (38 papers)Multimedia Communication and Technology (32 papers)Video Analysis and Summarization (24 papers)
In The Last Decade
Manuel Ramos‐Cabrer
77 papers receiving 693 citations
Peers
Comparison fields: 5 of 74
- Information Systems 458
- Computer Vision and Pattern Recognition 302
- Artificial Intelligence 209
- Sociology and Political Science 200
- Computer Networks and Communications 178
Countries citing papers authored by Manuel Ramos‐Cabrer
This map shows the geographic impact of Manuel Ramos‐Cabrer'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 Ramos‐Cabrer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Ramos‐Cabrer more than expected).
Fields of papers citing papers by Manuel Ramos‐Cabrer
This network shows the impact of papers produced by Manuel Ramos‐Cabrer. 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 Ramos‐Cabrer. The network helps show where Manuel Ramos‐Cabrer may publish in the future.
Co-authorship network of co-authors of Manuel Ramos‐Cabrer
This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Ramos‐Cabrer. A scholar is included among the top collaborators of Manuel Ramos‐Cabrer 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 Ramos‐Cabrer. Manuel Ramos‐Cabrer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 10 | |
| 8 | 30 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 39 | |
| 13 | 25 | |
| 14 | 13 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 10 | |
| 19 | A MHP Receiver over RT-Linux for Digital TV. | 0 |
| 20 | Exploring T-Learning in the MHP Context. | 3 |
About Manuel Ramos‐Cabrer
Manuel Ramos‐Cabrer is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 81 papers that have together received 746 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (38 papers), Multimedia Communication and Technology (32 papers) and Video Analysis and Summarization (24 papers). The work is most often cited by research in Information Systems (458 citations), Computer Vision and Pattern Recognition (302 citations) and Computer Science Applications (56 citations). Manuel Ramos‐Cabrer has collaborated with scholars based in Spain, Ecuador and Portugal. Frequent co-authors include Alberto Gil‐Solla, José J. Pazos‐Arias, Martín López‐Nores, Yolanda Blanco‐Fernández, Ana Fernández Vilas, Rebeca P. Dı́az Redondo, Jorge García‐Duque, Jack F. Bravo‐Torres, Jorge Duque and Marta Rey-López. Their work appears in journals such as Expert Systems with Applications, Computers & Education 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.