Manuel Ramos‐Cabrer
Impact in
- Information Systems top 2%
- Recommender Systems and Techniques
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- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
Papers in
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- Recommender Systems and Techniques 38
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- Video Analysis and Summarization 24
- Image Retrieval and Classification Techniques 11
- Co-authors
- Alberto Gil‐Solla (71 shared papers)José J. Pazos‐Arias (67 shared papers)Martín López‐Nores (61 shared papers)Yolanda Blanco‐Fernández (58 shared papers)Ana Fernández Vilas (32 shared papers)Rebeca P. Dı́az Redondo (30 shared papers)Jorge García‐Duque (24 shared papers)Jorge Duque (7 shared 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
- Computer Science Applications 56
- Computer Networks and Communications 178
- Artificial Intelligence 209
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-authors
The 18 scholars most cited alongside Manuel Ramos‐Cabrer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 73 | |
| 2 | 2008 | 65 | |
| 3 | 2011 | 39 | |
| 4 | 2008 | 36 | |
| 5 | 2014 | 30 | |
| 6 | 2014 | 30 | |
| 7 | 2008 | 25 | |
| 8 | 2015 | 25 | |
| 9 | 2006 | 23 | |
| 10 | 2009 | 21 | |
| 11 | 2012 | 20 | |
| 12 | 2008 | 19 | |
| 13 | 2010 | 16 | |
| 14 | 2008 | 14 | |
| 15 | 2007 | 14 | |
| 16 | 2018 | 13 | |
| 17 | 2008 | 13 | |
| 18 | 2005 | 13 | |
| 19 | 2006 | 12 | |
| 20 | 2007 | 10 |
About Manuel Ramos‐Cabrer
Manuel Ramos‐Cabrer is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Sociology and Political Science, Computer Networks and Communications and Artificial Intelligence, 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), Video Analysis and Summarization (24 papers), Peer-to-Peer Network Technologies (11 papers), Image Retrieval and Classification Techniques (11 papers), Caching and Content Delivery (10 papers), Opportunistic and Delay-Tolerant Networks (7 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Information Systems (458 citations), Computer Vision and Pattern Recognition (302 citations), Computer Science Applications (56 citations), Computer Networks and Communications (178 citations) and Artificial Intelligence (209 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, Jorge Duque, Jack F. Bravo‐Torres and Marta Rey-López. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Consumer Electronics, Software Practice and Experience, Multimedia Tools and Applications and Information Sciences.
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.