Adrià Recasens
About
In The Last Decade
Adrià Recasens
12 papers receiving 503 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 330
- Experimental and Cognitive Psychology 192
- Artificial Intelligence 144
- Human-Computer Interaction 104
- Cognitive Neuroscience 94
Countries citing papers authored by Adrià Recasens
This map shows the geographic impact of Adrià Recasens'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 Adrià Recasens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrià Recasens more than expected).
Fields of papers citing papers by Adrià Recasens
This network shows the impact of papers produced by Adrià Recasens. 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 Adrià Recasens. The network helps show where Adrià Recasens may publish in the future.
Co-authorship network of co-authors of Adrià Recasens
This figure shows the co-authorship network connecting the top 25 collaborators of Adrià Recasens. A scholar is included among the top collaborators of Adrià Recasens 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 Adrià Recasens. Adrià Recasens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 28 | |
| 3 | 2 | |
| 4 | Self-Supervised MultiModal Versatile Networks | 7 |
| 5 | 45 | |
| 6 | 5 | |
| 7 | 133 | |
| 8 | 53 | |
| 9 | 50 | |
| 10 | 134 | |
| 11 | Where are they looking | 60 |
| 12 | 1 |
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.