Guillermo Payá–Vayá
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Hardware and Architecture top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Holger BlumeP. PirschAlberto García-OrtizBernd T. MeyerHynek HeřmanskýHendrik KayserWerner RitterSri Harish Mallidi
- Topics
- Embedded Systems Design Techniques (13 papers)Parallel Computing and Optimization Techniques (12 papers)Low-power high-performance VLSI design (11 papers)
- Journals
- Speech CommunicationJournal of Parallel and Distributed ComputingJournal of Systems Architecture
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Guillermo Payá–Vayá
48 papers receiving 236 citations
Peers
Comparison fields: 5 of 38
- Electrical and Electronic Engineering 80
- Signal Processing 74
- Hardware and Architecture 69
- Computer Vision and Pattern Recognition 67
- Artificial Intelligence 48
Countries citing papers authored by Guillermo Payá–Vayá
This map shows the geographic impact of Guillermo Payá–Vayá'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 Guillermo Payá–Vayá with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo Payá–Vayá more than expected).
Fields of papers citing papers by Guillermo Payá–Vayá
This network shows the impact of papers produced by Guillermo Payá–Vayá. 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 Guillermo Payá–Vayá. The network helps show where Guillermo Payá–Vayá may publish in the future.
Co-authorship network of co-authors of Guillermo Payá–Vayá
This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Payá–Vayá. A scholar is included among the top collaborators of Guillermo Payá–Vayá 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 Guillermo Payá–Vayá. Guillermo Payá–Vayá 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 15 | |
| 9 | 5 | |
| 10 | 13 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 14 | |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 9 | |
| 19 | 3 | |
| 20 | 6 |
About Guillermo Payá–Vayá
Guillermo Payá–Vayá is a scholar working on Hardware and Architecture, Signal Processing and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 244 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (13 papers), Parallel Computing and Optimization Techniques (12 papers) and Low-power high-performance VLSI design (11 papers). The work is most often cited by research in Hardware and Architecture (69 citations), Signal Processing (74 citations) and Computer Vision and Pattern Recognition (67 citations). Guillermo Payá–Vayá has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Holger Blume, P. Pirsch, Alberto García-Ortiz, Bernd T. Meyer, Hynek Heřmanský, Hendrik Kayser, Werner Ritter, Sri Harish Mallidi, Kirsten Weide-Zaage and Daniel Becker. Their work appears in journals such as Speech Communication, Journal of Parallel and Distributed Computing and Journal of Systems Architecture.
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.