Beatriz Galindo‐Prieto
About
In The Last Decade
Beatriz Galindo‐Prieto
14 papers receiving 414 citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 177
- Analytical Chemistry 106
- Food Science 62
- Biomedical Engineering 53
- Plant Science 49
Countries citing papers authored by Beatriz Galindo‐Prieto
This map shows the geographic impact of Beatriz Galindo‐Prieto'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 Beatriz Galindo‐Prieto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatriz Galindo‐Prieto more than expected).
Fields of papers citing papers by Beatriz Galindo‐Prieto
This network shows the impact of papers produced by Beatriz Galindo‐Prieto. 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 Beatriz Galindo‐Prieto. The network helps show where Beatriz Galindo‐Prieto may publish in the future.
Co-authorship network of co-authors of Beatriz Galindo‐Prieto
This figure shows the co-authorship network connecting the top 25 collaborators of Beatriz Galindo‐Prieto. A scholar is included among the top collaborators of Beatriz Galindo‐Prieto 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 Beatriz Galindo‐Prieto. Beatriz Galindo‐Prieto 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 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 29 | |
| 10 | 3 | |
| 11 | Novel variable influence on projection (VIP) methods in OPLS, O2PLS, and OnPLS models for single- and multi-block variable selection : VIPOPLS, VIPO2PLS, and MB-VIOP methods | 5 |
| 12 | 32 | |
| 13 | 82 | |
| 14 | 6 | |
| 15 | 233 |
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.