Martín Haro
About
In The Last Decade
Martín Haro
13 papers receiving 277 citations
Peers
Comparison fields: 5 of 80
- Signal Processing 152
- Computer Vision and Pattern Recognition 122
- Cognitive Neuroscience 66
- Information Systems 47
- Artificial Intelligence 45
Countries citing papers authored by Martín Haro
This map shows the geographic impact of Martín Haro'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 Martín Haro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martín Haro more than expected).
Fields of papers citing papers by Martín Haro
This network shows the impact of papers produced by Martín Haro. 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 Martín Haro. The network helps show where Martín Haro may publish in the future.
Co-authorship network of co-authors of Martín Haro
This figure shows the co-authorship network connecting the top 25 collaborators of Martín Haro. A scholar is included among the top collaborators of Martín Haro 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 Martín Haro. Martín Haro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 120 | |
| 2 | 12 | |
| 3 | 1 | |
| 4 | 83 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 11 | |
| 8 | 16 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 15 | |
| 13 | 26 | |
| 14 | 0 |
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.