Fábio M. Costa

106 total papers · 1.3k total citations
53 papers, 641 citations indexed

About

Fábio M. Costa is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Fábio M. Costa has authored 53 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Networks and Communications, 29 papers in Information Systems and 17 papers in Artificial Intelligence. Recurrent topics in Fábio M. Costa's work include Service-Oriented Architecture and Web Services (20 papers), Advanced Software Engineering Methodologies (16 papers) and Distributed systems and fault tolerance (11 papers). Fábio M. Costa is often cited by papers focused on Service-Oriented Architecture and Web Services (20 papers), Advanced Software Engineering Methodologies (16 papers) and Distributed systems and fault tolerance (11 papers). Fábio M. Costa collaborates with scholars based in Brazil, United Kingdom and United States. Fábio M. Costa's co-authors include Fábio Kon, Gordon S. Blair, Roy H. Campbell, Luigi Ambrosio, Peter Clarke, Anders Andersen, Geoff Coulson, Lynne Blair, Eduardo Felipe Zambom Santana and Nikos Parlavantzas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Future Generation Computer Systems.

In The Last Decade

Fábio M. Costa

47 papers receiving 586 citations

Author Peers

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

Author						Papers	Cites
Fábio M. Costa	408	301	254	106	90	53	641
Abdelouahed Gherbi	278 0.7×	270 0.9×	158 0.6×	54 0.5×	78 0.9×	62	585
Marco Autili	242 0.6×	390 1.3×	340 1.3×	70 0.7×	32 0.4×	74	716
Chenxi Wang	345 0.8×	203 0.7×	219 0.9×	24 0.2×	115 1.3×	41	597
Suriayati Chuprat	182 0.4×	396 1.3×	239 0.9×	132 1.2×	27 0.3×	85	746
Jeremy Singer	394 1.0×	360 1.2×	192 0.8×	61 0.6×	146 1.6×	71	725
Sastry Duri	196 0.5×	210 0.7×	137 0.5×	77 0.7×	71 0.8×	23	589
Dan Lo	315 0.8×	289 1.0×	156 0.6×	33 0.3×	17 0.2×	73	588
Sathiamoorthy Manoharan	190 0.5×	216 0.7×	152 0.6×	101 1.0×	30 0.3×	80	602
Mattia Monga	291 0.7×	350 1.2×	281 1.1×	31 0.3×	27 0.3×	76	726
Yao Shen	347 0.9×	185 0.6×	211 0.8×	190 1.8×	100 1.1×	75	762

Countries citing papers authored by Fábio M. Costa

Since Specialization

Citations

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

Fields of papers citing papers by Fábio M. Costa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fábio M. Costa. 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 Fábio M. Costa. The network helps show where Fábio M. Costa may publish in the future.

Co-authorship network of co-authors of Fábio M. Costa

This figure shows the co-authorship network connecting the top 25 collaborators of Fábio M. Costa. A scholar is included among the top collaborators of Fábio M. Costa 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 Fábio M. Costa. Fábio M. Costa 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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