Matías de Albert
About
In The Last Decade
Matías de Albert
9 papers receiving 228 citations
Peers
Comparison fields: 5 of 54
- Rheumatology 151
- Surgery 93
- Orthopedics and Sports Medicine 45
- Hematology 37
- Epidemiology 26
Countries citing papers authored by Matías de Albert
This map shows the geographic impact of Matías de Albert'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 Matías de Albert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matías de Albert more than expected).
Fields of papers citing papers by Matías de Albert
This network shows the impact of papers produced by Matías de Albert. 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 Matías de Albert. The network helps show where Matías de Albert may publish in the future.
Co-authorship network of co-authors of Matías de Albert
This figure shows the co-authorship network connecting the top 25 collaborators of Matías de Albert. A scholar is included among the top collaborators of Matías de Albert 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 Matías de Albert. Matías de Albert 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 | 3 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 33 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 60 | |
| 9 | 86 | |
| 10 | 20 | |
| 11 | 15 |
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.