Dayan Guimarães
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Aerospace Engineering
- Computational Mechanics
- Co-authors
- Rausley A. A. de SouzaBartolomeu F. Uchôa-FilhoRoberto BomfinCarlos Da SilvaAndré Noll BarretoAntônio Marcos AlbertiRahul ShresthaMarco Cattaneo
- Topics
- Cognitive Radio Networks and Spectrum Sensing (37 papers)Distributed Sensor Networks and Detection Algorithms (35 papers)Blind Source Separation Techniques (10 papers)
In The Last Decade
Dayan Guimarães
65 papers receiving 473 citations
Peers
Comparison fields: 5 of 42
- Computer Networks and Communications 327
- Electrical and Electronic Engineering 234
- Signal Processing 84
- Aerospace Engineering 84
- Computational Mechanics 59
Countries citing papers authored by Dayan Guimarães
This map shows the geographic impact of Dayan Guimarães'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 Dayan Guimarães with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayan Guimarães more than expected).
Fields of papers citing papers by Dayan Guimarães
This network shows the impact of papers produced by Dayan Guimarães. 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 Dayan Guimarães. The network helps show where Dayan Guimarães may publish in the future.
Co-authorship network of co-authors of Dayan Guimarães
This figure shows the co-authorship network connecting the top 25 collaborators of Dayan Guimarães. A scholar is included among the top collaborators of Dayan Guimarães 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 Dayan Guimarães. Dayan Guimarães is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 38 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 6 | |
| 13 | 32 | |
| 14 | 6 | |
| 15 | 9 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 11 | |
| 19 | 7 | |
| 20 | 17 |
About Dayan Guimarães
Dayan Guimarães is a scholar working on Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 72 papers that have together received 521 indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (37 papers), Distributed Sensor Networks and Detection Algorithms (35 papers) and Blind Source Separation Techniques (10 papers). The work is most often cited by research in Computer Networks and Communications (327 citations), Signal Processing (84 citations) and Electrical and Electronic Engineering (234 citations). Dayan Guimarães has collaborated with scholars based in Brazil, India and Germany. Frequent co-authors include Rausley A. A. de Souza, Bartolomeu F. Uchôa-Filho, Roberto Bomfin, Carlos Da Silva, André Noll Barreto, Antônio Marcos Alberti, Rahul Shrestha, Marco Cattaneo, Tales Cleber Pimenta and Luciano Leonel Mendes. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Vehicular Technology.
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.