Christian Blanes
About
In The Last Decade
Christian Blanes
4 papers receiving 349 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 135
- Aerospace Engineering 122
- Cognitive Neuroscience 113
- Cellular and Molecular Neuroscience 99
- Electrical and Electronic Engineering 92
Countries citing papers authored by Christian Blanes
This map shows the geographic impact of Christian Blanes'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 Christian Blanes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Blanes more than expected).
Fields of papers citing papers by Christian Blanes
This network shows the impact of papers produced by Christian Blanes. 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 Christian Blanes. The network helps show where Christian Blanes may publish in the future.
Co-authorship network of co-authors of Christian Blanes
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Blanes. A scholar is included among the top collaborators of Christian Blanes 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 Christian Blanes. Christian Blanes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 298 | |
| 3 | 19 | |
| 4 | 49 |
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.