Éverton de Matos

41 total papers · 505 total citations
25 papers, 297 citations indexed

About

Éverton de Matos is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Éverton de Matos has authored 25 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Éverton de Matos's work include IoT and Edge/Fog Computing (17 papers), Context-Aware Activity Recognition Systems (9 papers) and Cloud Data Security Solutions (4 papers). Éverton de Matos is often cited by papers focused on IoT and Edge/Fog Computing (17 papers), Context-Aware Activity Recognition Systems (9 papers) and Cloud Data Security Solutions (4 papers). Éverton de Matos collaborates with scholars based in Brazil, United Arab Emirates and United States. Éverton de Matos's co-authors include Fabiano Hessel, Ramão Tiago Tiburski, Leonardo Albernaz Amaral, Marcelo Veiga Neves, Bhaskar Krishnamachari, Gowri Ramachandran, Sabrina Marczak, Willian T. Lunardi, Eduardo K. Viegas and Dieisson Pivoto and has published in prestigious journals such as IEEE Communications Magazine, IEEE Internet of Things Journal and Computer Networks.

In The Last Decade

Éverton de Matos

20 papers receiving 287 citations

Author Peers

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

Author Last Decade Papers Cites
Éverton de Matos 226 120 83 54 50 25 297
Ramão Tiago Tiburski 222 1.0× 114 0.9× 83 1.0× 50 0.9× 49 1.0× 15 285
Levent Gürgen 221 1.0× 71 0.6× 64 0.8× 48 0.9× 45 0.9× 23 306
Michael Falkenthal 208 0.9× 169 1.4× 44 0.5× 90 1.7× 43 0.9× 32 346
Mohammed Q. Shatnawi 217 1.0× 98 0.8× 43 0.5× 69 1.3× 86 1.7× 34 349
Stefan Forsström 225 1.0× 65 0.5× 79 1.0× 37 0.7× 79 1.6× 35 308
Ziqiang Feng 225 1.0× 73 0.6× 138 1.7× 74 1.4× 79 1.6× 22 359
Haolong Xiang 141 0.6× 94 0.8× 40 0.5× 116 2.1× 44 0.9× 35 266
Zhe Li 126 0.6× 91 0.8× 54 0.7× 87 1.6× 45 0.9× 39 320
Jinglong Zuo 217 1.0× 159 1.3× 41 0.5× 55 1.0× 50 1.0× 16 309
Nelson Matthys 268 1.2× 54 0.5× 98 1.2× 79 1.5× 61 1.2× 35 351

Countries citing papers authored by Éverton de Matos

Since Specialization
Citations

This map shows the geographic impact of Éverton de Matos'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 Éverton de Matos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éverton de Matos more than expected).

Fields of papers citing papers by Éverton de Matos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Éverton de Matos. 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 Éverton de Matos. The network helps show where Éverton de Matos may publish in the future.

Co-authorship network of co-authors of Éverton de Matos

This figure shows the co-authorship network connecting the top 25 collaborators of Éverton de Matos. A scholar is included among the top collaborators of Éverton de Matos 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 Éverton de Matos. Éverton de Matos 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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