Carlos Sáez
About
In The Last Decade
Carlos Sáez
44 papers receiving 505 citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 132
- Health Information Management 104
- Management Science and Operations Research 84
- Radiology, Nuclear Medicine and Imaging 62
- Information Systems 60
Countries citing papers authored by Carlos Sáez
This map shows the geographic impact of Carlos Sáez'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 Carlos Sáez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Sáez more than expected).
Fields of papers citing papers by Carlos Sáez
This network shows the impact of papers produced by Carlos Sáez. 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 Carlos Sáez. The network helps show where Carlos Sáez may publish in the future.
Co-authorship network of co-authors of Carlos Sáez
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Sáez. A scholar is included among the top collaborators of Carlos Sáez 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 Carlos Sáez. Carlos Sáez 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 | 6 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 6 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 19 | |
| 12 | 10 | |
| 13 | 20 | |
| 14 | 6 | |
| 15 | 8 | |
| 16 | 8 | |
| 17 | 9 | |
| 18 | 10 | |
| 19 | 7 | |
| 20 | Organizing data quality assessment of shifting biomedical data. | 16 |
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.