Eduard Ayguadé
About
In The Last Decade
Eduard Ayguadé
300 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Computer Networks and Communications 3.6k
- Hardware and Architecture 3.5k
- Information Systems 1.4k
- Electrical and Electronic Engineering 598
- Artificial Intelligence 428
Countries citing papers authored by Eduard Ayguadé
This map shows the geographic impact of Eduard Ayguadé'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 Eduard Ayguadé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduard Ayguadé more than expected).
Fields of papers citing papers by Eduard Ayguadé
This network shows the impact of papers produced by Eduard Ayguadé. 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 Eduard Ayguadé. The network helps show where Eduard Ayguadé may publish in the future.
Co-authorship network of co-authors of Eduard Ayguadé
This figure shows the co-authorship network connecting the top 25 collaborators of Eduard Ayguadé. A scholar is included among the top collaborators of Eduard Ayguadé 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 Eduard Ayguadé. Eduard Ayguadé 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 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 60 | |
| 8 | 3 | |
| 9 | 14 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | Extracting Visual Patterns from Deep Learning Representations. | 3 |
| 15 | Task superscalar: using processors as functional units | 6 |
| 16 | 28 | |
| 17 | 47 | |
| 18 | 10 | |
| 19 | 0 | |
| 20 | 37 |
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.