Zahi Jarir

88 total papers · 574 total citations
51 papers, 287 citations indexed

About

Zahi Jarir is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Zahi Jarir has authored 51 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 17 papers in Artificial Intelligence and 14 papers in Computer Networks and Communications. Recurrent topics in Zahi Jarir's work include Service-Oriented Architecture and Web Services (21 papers), Traffic Prediction and Management Techniques (9 papers) and Advanced Software Engineering Methodologies (8 papers). Zahi Jarir is often cited by papers focused on Service-Oriented Architecture and Web Services (21 papers), Traffic Prediction and Management Techniques (9 papers) and Advanced Software Engineering Methodologies (8 papers). Zahi Jarir collaborates with scholars based in Morocco and France. Zahi Jarir's co-authors include Mohamed Quafafou, Chirine Ghédira, Djamal Benslimane, N. Baba, Nicolas Durand and Abdelaziz El Fazziki and has published in prestigious journals such as Entropy, Results in Engineering and Journal of Industrial Information Integration.

In The Last Decade

Zahi Jarir

45 papers receiving 271 citations

Author Peers

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

Author						Papers	Cites
Zahi Jarir	132	121	62	26	24	51	287
Carlos E. Cuesta	130 1.0×	145 1.2×	83 1.3×	12 0.5×	46 1.9×	45	265
Masoud Barati	135 1.0×	191 1.6×	73 1.2×	28 1.1×	11 0.5×	36	329
Basem Y. Alkazemi	86 0.7×	81 0.7×	74 1.2×	17 0.7×	18 0.8×	35	276
Takfarinas Saber	122 0.9×	115 1.0×	53 0.9×	18 0.7×	5 0.2×	41	315
Nikolay Tcholtchev	89 0.7×	51 0.4×	105 1.7×	14 0.5×	11 0.5×	48	288
Sherin M. Moussa	110 0.8×	113 0.9×	93 1.5×	8 0.3×	15 0.6×	39	331
Xu Wang	88 0.7×	83 0.7×	55 0.9×	16 0.6×	10 0.4×	51	316
Laïla Benhlima	109 0.8×	73 0.6×	68 1.1×	14 0.5×	32 1.3×	37	321
Sujala D. Shetty	109 0.8×	90 0.7×	57 0.9×	22 0.8×	32 1.3×	32	269
Krešimir Fertalj	84 0.6×	102 0.8×	87 1.4×	13 0.5×	39 1.6×	66	309

Countries citing papers authored by Zahi Jarir

Since Specialization

Citations

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

Fields of papers citing papers by Zahi Jarir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zahi Jarir

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