Md Sakib Hasan

107 total papers · 884 total citations
77 papers, 647 citations indexed

About

Md Sakib Hasan is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Md Sakib Hasan has authored 77 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Electrical and Electronic Engineering, 21 papers in Artificial Intelligence and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Md Sakib Hasan's work include Advanced Memory and Neural Computing (31 papers), Chaos-based Image/Signal Encryption (19 papers) and Chaos control and synchronization (16 papers). Md Sakib Hasan is often cited by papers focused on Advanced Memory and Neural Computing (31 papers), Chaos-based Image/Signal Encryption (19 papers) and Chaos control and synchronization (16 papers). Md Sakib Hasan collaborates with scholars based in United States, China and Bangladesh. Md Sakib Hasan's co-authors include Garrett S. Rose, Joseph S. Najem, Stephen A. Sarles, Ryan Weiss, C. Patrick Collier, Graham J. Taylor, Alex Belianinov, Catherine D. Schuman, Syed K. Islam and R. Stanley Williams and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Md Sakib Hasan

71 papers receiving 630 citations

Author Peers

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

Author						Papers	Cites
Md Sakib Hasan	383	171	165	124	122	77	647
Yinxing Zhang	267 0.7×	106 0.6×	116 0.7×	41 0.3×	160 1.3×	54	757
Chunyan Song	353 0.9×	136 0.8×	142 0.9×	69 0.6×	37 0.3×	30	727
György Cserey	253 0.7×	137 0.8×	53 0.3×	96 0.8×	44 0.4×	55	615
Li Luo	306 0.8×	76 0.4×	95 0.6×	40 0.3×	59 0.5×	87	588
Stavros G. Stavrinides	309 0.8×	157 0.9×	75 0.5×	102 0.8×	275 2.3×	91	629
Ahmet Şamil Demirkol	443 1.2×	172 1.0×	79 0.5×	224 1.8×	202 1.7×	59	585
Zelin Cao	539 1.4×	264 1.5×	72 0.4×	79 0.6×	55 0.5×	55	769
Yoshihiko Horio	454 1.2×	59 0.3×	380 2.3×	117 0.9×	191 1.6×	114	768
Song-Ju Kim	313 0.8×	40 0.2×	293 1.8×	53 0.4×	72 0.6×	57	652
Alicia d’Anjou	126 0.3×	127 0.7×	110 0.7×	318 2.6×	399 3.3×	49	756

Countries citing papers authored by Md Sakib Hasan

Since Specialization

Citations

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

Fields of papers citing papers by Md Sakib Hasan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Sakib Hasan. 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 Md Sakib Hasan. The network helps show where Md Sakib Hasan may publish in the future.

Co-authorship network of co-authors of Md Sakib Hasan

This figure shows the co-authorship network connecting the top 25 collaborators of Md Sakib Hasan. A scholar is included among the top collaborators of Md Sakib Hasan 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 Md Sakib Hasan. Md Sakib Hasan 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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