Guilherme Ramos
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Co-authors
- Ludovico BorattoSérgio PequitoDaniel SilvestreCarlos SilvestreCarlos CaleiroA. Pedro AguiarSoummya KarMirko Marras
- Topics
- Distributed Control Multi-Agent Systems (13 papers)Software Engineering Research (6 papers)Advanced Memory and Neural Computing (6 papers)
- Partner nations
- PortugalUnited StatesBrazil
In The Last Decade
Guilherme Ramos
48 papers receiving 323 citations
Peers
Comparison fields: 5 of 57
- Computer Networks and Communications 123
- Artificial Intelligence 98
- Information Systems 84
- Control and Systems Engineering 47
- Electrical and Electronic Engineering 45
Countries citing papers authored by Guilherme Ramos
This map shows the geographic impact of Guilherme Ramos'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 Guilherme Ramos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guilherme Ramos more than expected).
Fields of papers citing papers by Guilherme Ramos
This network shows the impact of papers produced by Guilherme Ramos. 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 Guilherme Ramos. The network helps show where Guilherme Ramos may publish in the future.
Co-authorship network of co-authors of Guilherme Ramos
This figure shows the co-authorship network connecting the top 25 collaborators of Guilherme Ramos. A scholar is included among the top collaborators of Guilherme Ramos 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 Guilherme Ramos. Guilherme Ramos 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 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 25 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 13 | |
| 13 | 3 | |
| 14 | 20 | |
| 15 | 22 | |
| 16 | 6 | |
| 17 | 8 | |
| 18 | 17 | |
| 19 | 4 | |
| 20 | On the NP-completeness of the Minimal Controllability Problem | 3 |
About Guilherme Ramos
Guilherme Ramos is a scholar working on Computer Science Applications, Computer Networks and Communications and Management Science and Operations Research, having authored 51 papers that have together received 331 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (13 papers), Software Engineering Research (6 papers) and Advanced Memory and Neural Computing (6 papers). The work is most often cited by research in Computer Networks and Communications (123 citations), Computer Science Applications (22 citations) and Information Systems (84 citations). Guilherme Ramos has collaborated with scholars based in Portugal, United States and Brazil. Frequent co-authors include Ludovico Boratto, Sérgio Pequito, Daniel Silvestre, Carlos Silvestre, Carlos Caleiro, A. Pedro Aguiar, Soummya Kar, Mirko Marras, Gianni Fenu and Lucas Rodrigues Costa. Their work appears in journals such as PLoS ONE, IEEE Transactions on Automatic Control and Scientific Reports.
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.