Ehab Abdelhamid

8 total papers · 428 total citations
6 papers, 286 citations indexed

About

Ehab Abdelhamid is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Signal Processing. According to data from OpenAlex, Ehab Abdelhamid has authored 6 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Information Systems and 3 papers in Signal Processing. Recurrent topics in Ehab Abdelhamid's work include Graph Theory and Algorithms (5 papers), Data Mining Algorithms and Applications (4 papers) and Data Management and Algorithms (3 papers). Ehab Abdelhamid is often cited by papers focused on Graph Theory and Algorithms (5 papers), Data Mining Algorithms and Applications (4 papers) and Data Management and Algorithms (3 papers). Ehab Abdelhamid collaborates with scholars based in Saudi Arabia, United States and United Kingdom. Ehab Abdelhamid's co-authors include Panos Kalnis, Spiros Skiadopoulos, Fuad Jamour, Zuhair Khayyat, Ibrahim Abdelaziz, Mohammad Sadoghi, Yuan‐Chi Chang, Mustafa Canim, Bishwaranjan Bhattacharjee and Ahmed Rafea and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology).

In The Last Decade

Ehab Abdelhamid

6 papers receiving 280 citations

Author Peers

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

Author						Papers	Cites
Ehab Abdelhamid	184	170	128	94	53	6	286
Hilmi Yıldırım	127 0.7×	135 0.8×	113 0.9×	123 1.3×	131 2.5×	7	293
Minh-Duc Pham	170 0.9×	58 0.3×	145 1.1×	88 0.9×	108 2.0×	5	255
Can Lu	151 0.8×	50 0.3×	136 1.1×	93 1.0×	113 2.1×	13	277
Khaled Ammar	193 1.0×	118 0.7×	114 0.9×	55 0.6×	97 1.8×	15	236
Alex Averbuch	163 0.9×	73 0.4×	83 0.6×	62 0.7×	141 2.7×	8	238
Sherry Marcus	130 0.7×	50 0.3×	138 1.1×	87 0.9×	118 2.2×	13	313
Nadime Francis	126 0.7×	57 0.3×	146 1.1×	78 0.8×	124 2.3×	7	298
Victor Marsault	134 0.7×	60 0.4×	151 1.2×	74 0.8×	127 2.4×	8	311
David Fuhry	95 0.5×	71 0.4×	94 0.7×	155 1.6×	145 2.7×	11	290
Christopher R. Aberger	137 0.7×	43 0.3×	115 0.9×	86 0.9×	126 2.4×	6	233

Countries citing papers authored by Ehab Abdelhamid

Since Specialization

Citations

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

Fields of papers citing papers by Ehab Abdelhamid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehab Abdelhamid

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