José C. Rubio
About
In The Last Decade
José C. Rubio
8 papers receiving 401 citations
Peers
Comparison fields: 5 of 68
- Cellular and Molecular Neuroscience 138
- Neurology 127
- Computer Vision and Pattern Recognition 123
- Developmental Neuroscience 64
- Pathology and Forensic Medicine 59
Countries citing papers authored by José C. Rubio
This map shows the geographic impact of José C. Rubio'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 José C. Rubio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José C. Rubio more than expected).
Fields of papers citing papers by José C. Rubio
This network shows the impact of papers produced by José C. Rubio. 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 José C. Rubio. The network helps show where José C. Rubio may publish in the future.
Co-authorship network of co-authors of José C. Rubio
This figure shows the co-authorship network connecting the top 25 collaborators of José C. Rubio. A scholar is included among the top collaborators of José C. Rubio 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 José C. Rubio. José C. Rubio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 264 | |
| 6 | 1 | |
| 7 | 97 | |
| 8 | 30 | |
| 9 | 7 |
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.