Sami Ghédira

45 total papers · 495 total citations
33 papers, 373 citations indexed

About

Sami Ghédira is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Sami Ghédira has authored 33 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 13 papers in Cellular and Molecular Neuroscience and 3 papers in Control and Systems Engineering. Recurrent topics in Sami Ghédira's work include Silicon Carbide Semiconductor Technologies (15 papers), Advanced Memory and Neural Computing (14 papers) and Neuroscience and Neural Engineering (13 papers). Sami Ghédira is often cited by papers focused on Silicon Carbide Semiconductor Technologies (15 papers), Advanced Memory and Neural Computing (14 papers) and Neuroscience and Neural Engineering (13 papers). Sami Ghédira collaborates with scholars based in Tunisia, France and United States. Sami Ghédira's co-authors include Hervé Morel, Bruno Allard, Anis Ammous, Kamel Besbes, Jean‐Michel Guichon, Kaiçar Ammous, Cyril Buttay, Christophe Raynaud, Adel Kalboussi and Christophe Raynaud and has published in prestigious journals such as IEEE Transactions on Power Electronics, Applied Physics A and Electronics.

In The Last Decade

Sami Ghédira

31 papers receiving 354 citations

Author Peers

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

Author						Papers	Cites
Sami Ghédira	361	56	53	33	19	33	373
Rasoul Dehghani	350 1.0×	118 2.1×	42 0.8×	15 0.5×	10 0.5×	54	420
Daniel Fernández	271 0.8×	27 0.5×	19 0.4×	23 0.7×	20 1.1×	50	346
Josef Bajer	375 1.0×	24 0.4×	57 1.1×	15 0.5×	11 0.6×	38	423
Leonardo Barboni	236 0.7×	33 0.6×	24 0.5×	9 0.3×	65 3.4×	21	353
Hanspeter Schmid	312 0.9×	19 0.3×	24 0.5×	7 0.2×	16 0.8×	30	377
Matteo Lodi	221 0.6×	66 1.2×	17 0.3×	72 2.2×	57 3.0×	48	399
Shuhui Shi	241 0.7×	8 0.1×	45 0.8×	114 3.5×	30 1.6×	34	425
Vítor Grade Tavares	340 0.9×	11 0.2×	22 0.4×	8 0.2×	42 2.2×	52	436
H.H. Chao	252 0.7×	66 1.2×	39 0.7×	4 0.1×	13 0.7×	20	371
E. E. King	378 1.0×	17 0.3×	20 0.4×	11 0.3×	4 0.2×	32	407

Countries citing papers authored by Sami Ghédira

Since Specialization

Citations

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

Fields of papers citing papers by Sami Ghédira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sami Ghédira

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