Mauricio Vanegas
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience
- Human-Computer Interaction top 5%
- Electrical and Electronic Engineering
- Media Technology top 5%
- Co-authors
- Eduardo RosAgostino GibaldiGuido MaielloPeter J. BexMatteo TomasiFrancisco BarrancoJavier DíazJesús A. Garrido
- Topics
- Advanced Vision and Imaging (9 papers)Advanced Image Processing Techniques (4 papers)Image Processing Techniques and Applications (4 papers)
In The Last Decade
Mauricio Vanegas
16 papers receiving 358 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 176
- Cognitive Neuroscience 90
- Human-Computer Interaction 75
- Electrical and Electronic Engineering 66
- Media Technology 56
Countries citing papers authored by Mauricio Vanegas
This map shows the geographic impact of Mauricio Vanegas'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 Mauricio Vanegas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauricio Vanegas more than expected).
Fields of papers citing papers by Mauricio Vanegas
This network shows the impact of papers produced by Mauricio Vanegas. 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 Mauricio Vanegas. The network helps show where Mauricio Vanegas may publish in the future.
Co-authorship network of co-authors of Mauricio Vanegas
This figure shows the co-authorship network connecting the top 25 collaborators of Mauricio Vanegas. A scholar is included among the top collaborators of Mauricio Vanegas 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 Mauricio Vanegas. Mauricio Vanegas 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 | 132 | |
| 3 | 6 | |
| 4 | 28 | |
| 5 | 27 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 22 | |
| 10 | 12 | |
| 11 | 57 | |
| 12 | 10 | |
| 13 | 7 | |
| 14 | 13 | |
| 15 | 24 | |
| 16 | 22 | |
| 17 | Nutricion enteral temprana en el paciente gastrectomizado: experimento clinico controlado | 2 |
About Mauricio Vanegas
Mauricio Vanegas is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience, having authored 17 papers that have together received 373 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Advanced Image Processing Techniques (4 papers) and Image Processing Techniques and Applications (4 papers). The work is most often cited by research in Human-Computer Interaction (75 citations), Computer Vision and Pattern Recognition (176 citations) and Media Technology (56 citations). Mauricio Vanegas has collaborated with scholars based in Spain, Italy and Colombia. Frequent co-authors include Eduardo Ros, Agostino Gibaldi, Guido Maiello, Peter J. Bex, Matteo Tomasi, Francisco Barranco, Javier Díaz, Jesús A. Garrido, Niceto R. Luque and Silvia Tolu. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Circuits and Systems for Video Technology and Biological Cybernetics.
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.