Guilherme Ramos

80 total papers · 633 total citations
51 papers, 326 citations indexed

About

Guilherme Ramos is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Guilherme Ramos has authored 51 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 15 papers in Artificial Intelligence and 14 papers in Information Systems. Recurrent topics in Guilherme Ramos's work include Distributed Control Multi-Agent Systems (13 papers), Recommender Systems and Techniques (6 papers) and Advanced Memory and Neural Computing (6 papers). Guilherme Ramos is often cited by papers focused on Distributed Control Multi-Agent Systems (13 papers), Recommender Systems and Techniques (6 papers) and Advanced Memory and Neural Computing (6 papers). Guilherme Ramos collaborates with scholars based in Portugal, United States and Brazil. Guilherme Ramos's co-authors include Ludovico Boratto, Sérgio Pequito, Daniel Silvestre, Carlos Silvestre, Carlos Caleiro, A. Pedro Aguiar, Mirko Marras, Soummya Kar, Lucas Rodrigues Costa and André C. Drummond and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Guilherme Ramos

48 papers receiving 318 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Guilherme Ramos 122 94 83 46 45 51 326
Emmanouil Magkos 161 1.3× 151 1.6× 126 1.5× 49 1.1× 60 1.3× 40 349
Ignac Lovrek 168 1.4× 60 0.6× 100 1.2× 19 0.4× 38 0.8× 66 316
Hoda Mehrpouyan 36 0.3× 106 1.1× 61 0.7× 81 1.8× 34 0.8× 34 259
Bruno C. da Silva 49 0.4× 117 1.2× 87 1.0× 46 1.0× 39 0.9× 25 277
Geeth de Mel 90 0.7× 204 2.2× 97 1.2× 28 0.6× 22 0.5× 55 333
Ali Harounabadi 114 0.9× 122 1.3× 175 2.1× 13 0.3× 23 0.5× 70 352
Brett Benyo 142 1.2× 184 2.0× 102 1.2× 21 0.5× 37 0.8× 28 338
Liang Dai 173 1.4× 56 0.6× 39 0.5× 36 0.8× 61 1.4× 37 360
Derya Cansever 231 1.9× 50 0.5× 105 1.3× 55 1.2× 43 1.0× 42 349
Dariusz Król 168 1.4× 90 1.0× 118 1.4× 24 0.5× 11 0.2× 58 348

Countries citing papers authored by Guilherme Ramos

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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