Pedro Maia

8 total papers · 418 total citations
5 papers, 265 citations indexed

About

Pedro Maia is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pedro Maia has authored 5 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 2 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pedro Maia's work include IoT and Edge/Fog Computing (3 papers), Context-Aware Activity Recognition Systems (2 papers) and Wireless Body Area Networks (2 papers). Pedro Maia is often cited by papers focused on IoT and Edge/Fog Computing (3 papers), Context-Aware Activity Recognition Systems (2 papers) and Wireless Body Area Networks (2 papers). Pedro Maia collaborates with scholars based in Brazil, France and Australia. Pedro Maia's co-authors include Thaı́s Batista, Everton Cavalcante, Paulo F. Pires, Flávia C. Delicato, Mauro Copelli, Natália Bezerra Mota, Sidarta Ribeiro, Jorge Pereira and Albert Y. Zomaya and has published in prestigious journals such as Scientific Reports, Computer Communications and Procedia Computer Science.

In The Last Decade

Pedro Maia

5 papers receiving 248 citations

Author Peers

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

Author						Papers	Cites
Pedro Maia	134	78	50	34	31	5	265
Denny Joseph	61 0.5×	19 0.2×	108 2.2×	23 0.7×	6 0.2×	6	261
Paul McIsaac	53 0.4×	17 0.2×	182 3.6×	13 0.4×	22 0.7×	10	331
Eleanor F. Toye	33 0.2×	73 0.9×	75 1.5×	66 1.9×	6 0.2×	12	327
Daniel Groß	21 0.2×	110 1.4×	64 1.3×	8 0.2×	65 2.1×	13	300
Audrius Jurgelionis	72 0.5×	39 0.5×	24 0.5×	99 2.9×	14 0.5×	10	300
Christof Roduner	127 0.9×	83 1.1×	15 0.3×	49 1.4×	4 0.1×	9	308
Alan L. Liu	21 0.2×	36 0.5×	34 0.7×	101 3.0×	5 0.2×	9	260
Dalila Szostak	14 0.1×	22 0.3×	48 1.0×	66 1.9×	17 0.5×	13	329
Nicholas Graham	14 0.1×	34 0.4×	54 1.1×	35 1.0×	13 0.4×	17	293
Michael Falcone	51 0.4×	160 2.1×	19 0.4×	49 1.4×	8 0.3×	9	309

Countries citing papers authored by Pedro Maia

Since Specialization

Citations

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

Fields of papers citing papers by Pedro Maia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Maia

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