Sayeh Sharify

28 total papers · 721 total citations
10 papers, 262 citations indexed

About

Sayeh Sharify is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Sayeh Sharify has authored 10 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Electrical and Electronic Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Sayeh Sharify's work include Advanced Neural Network Applications (8 papers), Adversarial Robustness in Machine Learning (5 papers) and CCD and CMOS Imaging Sensors (4 papers). Sayeh Sharify is often cited by papers focused on Advanced Neural Network Applications (8 papers), Adversarial Robustness in Machine Learning (5 papers) and CCD and CMOS Imaging Sensors (4 papers). Sayeh Sharify collaborates with scholars based in Canada and United Kingdom. Sayeh Sharify's co-authors include Andreas Moshovos, Alberto Delmás Lascorz, Kevin Siu, Patrick Judd, Mostafa Mahmoud, Zissis Poulos, Jorge Albericio, Tor M. Aamodt, Tayler Hetherington and Natalie Enright Jerger and has published in prestigious journals such as Computer and IEEE Micro.

In The Last Decade

Sayeh Sharify

10 papers receiving 259 citations

Author Peers

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

Author						Papers	Cites
Sayeh Sharify	187	142	116	56	24	10	262
Alberto Delmás Lascorz	193 1.0×	144 1.0×	118 1.0×	62 1.1×	27 1.1×	12	273
Zheng Qu	120 0.6×	113 0.8×	137 1.2×	65 1.2×	58 2.4×	17	293
Kailash Gopalakrishnan	148 0.8×	170 1.2×	128 1.1×	45 0.8×	22 0.9×	7	299
Yuxin Wang	188 1.0×	215 1.5×	84 0.7×	86 1.5×	53 2.2×	11	323
Linyan Mei	122 0.7×	185 1.3×	65 0.6×	81 1.4×	52 2.2×	17	289
Guyue Huang	75 0.4×	141 1.0×	119 1.0×	113 2.0×	33 1.4×	7	296
Jon J. Pimentel	136 0.7×	157 1.1×	85 0.7×	80 1.4×	86 3.6×	8	298
Jeff Pool	149 0.8×	80 0.6×	77 0.7×	54 1.0×	37 1.5×	10	240
Charbel Sakr	100 0.5×	131 0.9×	104 0.9×	27 0.5×	20 0.8×	15	238
Di Wu	203 1.1×	171 1.2×	84 0.7×	53 0.9×	49 2.0×	10	316

Countries citing papers authored by Sayeh Sharify

Since Specialization

Citations

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

Fields of papers citing papers by Sayeh Sharify

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayeh Sharify

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