Sadique Sheik

50 total papers · 871 total citations
24 papers, 451 citations indexed

About

Sadique Sheik is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Sadique Sheik has authored 24 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 16 papers in Cognitive Neuroscience and 10 papers in Artificial Intelligence. Recurrent topics in Sadique Sheik's work include Advanced Memory and Neural Computing (21 papers), Neural dynamics and brain function (16 papers) and Ferroelectric and Negative Capacitance Devices (11 papers). Sadique Sheik is often cited by papers focused on Advanced Memory and Neural Computing (21 papers), Neural dynamics and brain function (16 papers) and Ferroelectric and Negative Capacitance Devices (11 papers). Sadique Sheik collaborates with scholars based in Switzerland, United States and United Kingdom. Sadique Sheik's co-authors include Santiago Marco, Jordi Fonollosa, Ramón Huerta, Giacomo Indiveri, Gert Cauwenberghs, Bruno U. Pedroni, Elisabetta Chicca, Emre Neftci, Hesham Mostafa and Somnath Paul and has published in prestigious journals such as Nature Communications, Sensors and Actuators B Chemical and Frontiers in Neuroscience.

In The Last Decade

Sadique Sheik

23 papers receiving 437 citations

Author Peers

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

Author						Papers	Cites
Sadique Sheik	300	158	150	96	83	24	451
Daciana Iliescu	77 0.3×	106 0.7×	37 0.2×	185 1.9×	40 0.5×	26	501
Manuel Bataller‐Mompeán	194 0.6×	142 0.9×	127 0.8×	62 0.6×	68 0.8×	25	545
Ke Sun	70 0.2×	69 0.4×	201 1.3×	111 1.2×	30 0.4×	20	412
Jose V. Francés-Víllora	155 0.5×	104 0.7×	119 0.8×	56 0.6×	51 0.6×	23	446
Irene Rodríguez-Luján	164 0.5×	13 0.1×	111 0.7×	269 2.8×	11 0.1×	15	429
Viet-Khoa Vo-Ho	177 0.6×	120 0.8×	202 1.3×	43 0.4×	53 0.6×	29	509
Li Xu	266 0.9×	31 0.2×	81 0.5×	124 1.3×	42 0.5×	49	508
Roberto Guerrieri	226 0.8×	73 0.5×	33 0.2×	129 1.3×	71 0.9×	24	410
Anguo Zhang	167 0.6×	123 0.8×	146 1.0×	51 0.5×	32 0.4×	44	464
Wesley A. Clark	110 0.4×	138 0.9×	130 0.9×	39 0.4×	73 0.9×	16	537

Countries citing papers authored by Sadique Sheik

Since Specialization

Citations

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

Fields of papers citing papers by Sadique Sheik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sadique Sheik

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