Mounir Arioua

91 total papers · 1.0k total citations
58 papers, 692 citations indexed

About

Mounir Arioua is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mounir Arioua has authored 58 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Networks and Communications, 29 papers in Electrical and Electronic Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mounir Arioua's work include Energy Efficient Wireless Sensor Networks (20 papers), Energy Harvesting in Wireless Networks (15 papers) and IoT and Edge/Fog Computing (9 papers). Mounir Arioua is often cited by papers focused on Energy Efficient Wireless Sensor Networks (20 papers), Energy Harvesting in Wireless Networks (15 papers) and IoT and Edge/Fog Computing (9 papers). Mounir Arioua collaborates with scholars based in Morocco, Spain and France. Mounir Arioua's co-authors include Ahmed El Oualkadi, Antonio Guerrero González, Francisco Ortiz, Pascal Lorenz, Mohammad Hammoudeh, Moha M’Rabet Hassani, Ibrahim Ghafir, Alia Zakriti, Antonio González and Khalid Chougdali and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Mounir Arioua

53 papers receiving 641 citations

Author Peers

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

Author						Papers	Cites
Mounir Arioua	390	264	118	114	92	58	692
Marc Barceló	458 1.2×	334 1.3×	80 0.7×	96 0.8×	70 0.8×	32	766
Nicolas Krommenacker	293 0.8×	243 0.9×	88 0.7×	42 0.4×	90 1.0×	30	597
Haifeng Wang	305 0.8×	241 0.9×	90 0.8×	76 0.7×	98 1.1×	114	780
Gürkan Solmaz	388 1.0×	157 0.6×	103 0.9×	88 0.8×	51 0.6×	41	671
Elmustafa Sayed Ali	356 0.9×	349 1.3×	123 1.0×	131 1.1×	25 0.3×	49	728
Yonghua Xiong	242 0.6×	135 0.5×	214 1.8×	178 1.6×	73 0.8×	69	727
José Javier Astráin	267 0.7×	414 1.6×	61 0.5×	87 0.8×	27 0.3×	82	789
Zhezhuang Xu	275 0.7×	303 1.1×	121 1.0×	78 0.7×	77 0.8×	82	790
Carlos J. Escudero	261 0.7×	442 1.7×	79 0.7×	105 0.9×	42 0.5×	45	751
Jesús Villadangos	255 0.7×	329 1.2×	59 0.5×	85 0.7×	21 0.2×	81	689

Countries citing papers authored by Mounir Arioua

Since Specialization

Citations

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

Fields of papers citing papers by Mounir Arioua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mounir Arioua

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