Ibrahim Abdelaziz

94 total papers · 1.4k total citations
33 papers, 683 citations indexed

About

Ibrahim Abdelaziz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Ibrahim Abdelaziz has authored 33 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Networks and Communications. Recurrent topics in Ibrahim Abdelaziz's work include Graph Theory and Algorithms (13 papers), Semantic Web and Ontologies (10 papers) and Topic Modeling (8 papers). Ibrahim Abdelaziz is often cited by papers focused on Graph Theory and Algorithms (13 papers), Semantic Web and Ontologies (10 papers) and Topic Modeling (8 papers). Ibrahim Abdelaziz collaborates with scholars based in Saudi Arabia, United States and Canada. Ibrahim Abdelaziz's co-authors include Panos Kalnis, Marco Canini, Amedeo Sapio, Zuhair Khayyat, Achille Fokoue, Nikos Mamoulis, Fuad Jamour, Ping Zhang, Oktie Hassanzadeh and Mohammad Sadoghi and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, Proceedings of the VLDB Endowment and Clinical Therapeutics.

In The Last Decade

Ibrahim Abdelaziz

32 papers receiving 669 citations

Author Peers

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

Author						Papers	Cites
Ibrahim Abdelaziz	373	306	233	179	69	33	683
Domagoj Vrgoč	336 0.9×	355 1.2×	268 1.2×	131 0.7×	46 0.7×	38	730
Ching Wong	424 1.1×	332 1.1×	85 0.4×	156 0.9×	80 1.2×	22	714
Alex Thomo	424 1.1×	275 0.9×	177 0.8×	167 0.9×	57 0.8×	88	728
M. D. McIlroy	376 1.0×	179 0.6×	125 0.5×	167 0.9×	50 0.7×	22	705
Zengfeng Huang	480 1.3×	246 0.8×	157 0.7×	128 0.7×	37 0.5×	44	717
Ren Diao	548 1.5×	147 0.5×	126 0.5×	133 0.7×	45 0.7×	26	719
Wenqing Lin	306 0.8×	222 0.7×	235 1.0×	137 0.8×	43 0.6×	44	664
Giuseppe Cattaneo	241 0.6×	234 0.8×	190 0.8×	269 1.5×	70 1.0×	66	653
Ahmet Erdem Sarıyüce	278 0.7×	298 1.0×	244 1.0×	72 0.4×	30 0.4×	32	674
Christine Solnon	282 0.8×	156 0.5×	182 0.8×	41 0.2×	40 0.6×	36	672

Countries citing papers authored by Ibrahim Abdelaziz

Since Specialization

Citations

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

Fields of papers citing papers by Ibrahim Abdelaziz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ibrahim Abdelaziz

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