Rivalino Matias

86 total papers · 1.4k total citations
65 papers, 931 citations indexed

About

Rivalino Matias is a scholar working on Computer Networks and Communications, Information Systems and Software. According to data from OpenAlex, Rivalino Matias has authored 65 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Networks and Communications, 26 papers in Information Systems and 22 papers in Software. Recurrent topics in Rivalino Matias's work include Distributed systems and fault tolerance (26 papers), Software System Performance and Reliability (24 papers) and Software Reliability and Analysis Research (22 papers). Rivalino Matias is often cited by papers focused on Distributed systems and fault tolerance (26 papers), Software System Performance and Reliability (24 papers) and Software Reliability and Analysis Research (22 papers). Rivalino Matias collaborates with scholars based in Brazil, United States and China. Rivalino Matias's co-authors include Kishor S. Trivedi, Michael Grottke, Jean Araújo, Rubens Matos, Paulo Maciel, Kishor S. Trivedi, Paulo Romero Martins Maciel, Lúcio Borges de Araújo, Jing Zhao and Javier Alonso and has published in prestigious journals such as Reliability Engineering & System Safety, IEEE Transactions on Reliability and Journal of Systems and Software.

In The Last Decade

Rivalino Matias

60 papers receiving 890 citations

Author Peers

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

Author Last Decade Papers Cites
Rivalino Matias 766 491 318 159 107 65 931
Fumio Machida 793 1.0× 595 1.2× 197 0.6× 136 0.9× 43 0.4× 72 981
Alberto Avritzer 830 1.1× 581 1.2× 521 1.6× 67 0.4× 67 0.6× 85 1.2k
Bjarne E. Helvik 931 1.2× 315 0.6× 80 0.3× 382 2.4× 57 0.5× 115 1.2k
Jean Araújo 747 1.0× 648 1.3× 96 0.3× 171 1.1× 38 0.4× 88 959
John H R May 267 0.3× 687 1.4× 855 2.7× 52 0.3× 90 0.8× 50 1.2k
Arshad Jhumka 687 0.9× 208 0.4× 242 0.8× 201 1.3× 114 1.1× 97 922
Martin L. Shooman 348 0.5× 329 0.7× 437 1.4× 180 1.1× 102 1.0× 51 992
Shangping Ren 537 0.7× 327 0.7× 69 0.2× 148 0.9× 333 3.1× 119 934
Ashish Sharma 458 0.6× 313 0.6× 116 0.4× 214 1.3× 50 0.5× 96 927
Rubens Matos 783 1.0× 659 1.3× 95 0.3× 197 1.2× 30 0.3× 66 985

Countries citing papers authored by Rivalino Matias

Since Specialization
Citations

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

Fields of papers citing papers by Rivalino Matias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rivalino Matias. 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 Rivalino Matias. The network helps show where Rivalino Matias may publish in the future.

Co-authorship network of co-authors of Rivalino Matias

This figure shows the co-authorship network connecting the top 25 collaborators of Rivalino Matias. A scholar is included among the top collaborators of Rivalino Matias 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 Rivalino Matias. Rivalino Matias 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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