Mario Vega-Barbas
About
In The Last Decade
Mario Vega-Barbas
28 papers receiving 309 citations
Peers
Comparison fields: 5 of 80
- Computer Networks and Communications 185
- Artificial Intelligence 126
- Signal Processing 81
- Information Systems 67
- Computer Vision and Pattern Recognition 36
Countries citing papers authored by Mario Vega-Barbas
This map shows the geographic impact of Mario Vega-Barbas'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 Mario Vega-Barbas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Vega-Barbas more than expected).
Fields of papers citing papers by Mario Vega-Barbas
This network shows the impact of papers produced by Mario Vega-Barbas. 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 Mario Vega-Barbas. The network helps show where Mario Vega-Barbas may publish in the future.
Co-authorship network of co-authors of Mario Vega-Barbas
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Vega-Barbas. A scholar is included among the top collaborators of Mario Vega-Barbas 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 Mario Vega-Barbas. Mario Vega-Barbas 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 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 20 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 21 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 43 | |
| 15 | 6 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 15 | |
| 19 | 24 | |
| 20 | 1 |
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.