Aicha Elshabini

67 total papers · 700 total citations
39 papers, 474 citations indexed

About

Aicha Elshabini is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Aicha Elshabini has authored 39 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 9 papers in Mechanical Engineering and 8 papers in Materials Chemistry. Recurrent topics in Aicha Elshabini's work include Electronic Packaging and Soldering Technologies (15 papers), Electromagnetic Compatibility and Noise Suppression (14 papers) and 3D IC and TSV technologies (13 papers). Aicha Elshabini is often cited by papers focused on Electronic Packaging and Soldering Technologies (15 papers), Electromagnetic Compatibility and Noise Suppression (14 papers) and 3D IC and TSV technologies (13 papers). Aicha Elshabini collaborates with scholars based in United States, Bahrain and Argentina. Aicha Elshabini's co-authors include Fred Barlow, Alexander B. Lostetter, Gang Wang, R. Panneer Selvam, Jeremy Junghans, Gabriel P. Potirniche, Juan Carlos Balda, D. P. H. Hasselman, G. H. Schiroky and Kimberly Y. Donaldson and has published in prestigious journals such as IEEE Microwave and Wireless Components Letters, Electronics and Microelectronics Reliability.

In The Last Decade

Aicha Elshabini

37 papers receiving 434 citations

Author Peers

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

Author						Papers	Cites
Aicha Elshabini	341	144	94	77	55	39	474
Y. C. Lee	307 0.9×	163 1.1×	97 1.0×	115 1.5×	50 0.9×	36	498
Jian Chen	255 0.7×	207 1.4×	79 0.8×	53 0.7×	57 1.0×	29	419
Moojin Kim	342 1.0×	180 1.3×	122 1.3×	82 1.1×	30 0.5×	52	480
Fang Dong	190 0.6×	149 1.0×	88 0.9×	89 1.2×	103 1.9×	68	419
S. J. Krause	230 0.7×	143 1.0×	78 0.8×	96 1.2×	44 0.8×	46	412
R. E. Acosta	338 1.0×	85 0.6×	150 1.6×	69 0.9×	58 1.1×	32	476
Ender Savrun	237 0.7×	182 1.3×	139 1.5×	123 1.6×	106 1.9×	40	466
Jing Jiang	217 0.6×	195 1.4×	91 1.0×	109 1.4×	90 1.6×	28	503
Ming‐Chung Liu	213 0.6×	172 1.2×	53 0.6×	83 1.1×	73 1.3×	26	411
Ho Jin	225 0.7×	331 2.3×	90 1.0×	106 1.4×	48 0.9×	34	510

Countries citing papers authored by Aicha Elshabini

Since Specialization

Citations

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

Fields of papers citing papers by Aicha Elshabini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aicha Elshabini

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