Md Sakib Hasan
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Garrett S. RoseJoseph S. NajemStephen A. SarlesC. Patrick CollierRyan WeissGraham J. TaylorAlex BelianinovCatherine D. Schuman
- Topics
- Advanced Memory and Neural Computing (31 papers)Chaos-based Image/Signal Encryption (19 papers)Chaos control and synchronization (16 papers)
- Cited by
- Statistical and Nonlinear PhysicsCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaACS Nano
- Partner nations
- United StatesChinaBangladesh
In The Last Decade
Md Sakib Hasan
71 papers receiving 649 citations
Peers
Comparison fields: 5 of 67
- Electrical and Electronic Engineering 401
- Cellular and Molecular Neuroscience 174
- Artificial Intelligence 168
- Cognitive Neuroscience 125
- Statistical and Nonlinear Physics 122
Countries citing papers authored by Md Sakib Hasan
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 29 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 19 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | 3 | |
| 15 | 10 | |
| 16 | 5 | |
| 17 | 26 | |
| 18 | 81 | |
| 19 | 150 | |
| 20 | 24 |
About Md Sakib Hasan
Md Sakib Hasan is a scholar working on Hardware and Architecture, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 77 papers that have together received 668 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (31 papers), Chaos-based Image/Signal Encryption (19 papers) and Chaos control and synchronization (16 papers). The work is most often cited by research in Statistical and Nonlinear Physics (122 citations), Cellular and Molecular Neuroscience (174 citations) and Electrical and Electronic Engineering (401 citations). Md Sakib Hasan has collaborated with scholars based in United States, China and Bangladesh. Frequent co-authors include Garrett S. Rose, Joseph S. Najem, Stephen A. Sarles, C. Patrick Collier, Ryan Weiss, Graham J. Taylor, Alex Belianinov, Catherine D. Schuman, Syed K. Islam and R. Stanley Williams. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.
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.