Mohammed A. Zidan
-
- Neuroscience and Neural Engineering 15
-
- Advanced Memory and Neural Computing 31
- Ferroelectric and Negative Capacitance Devices 22
- CCD and CMOS Imaging Sensors 4
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 4
- Polymers and Plastics top 5%
- Artificial Intelligence top 1%
-
- Chaos control and synchronization 8
-
- Chaos-based Image/Signal Encryption 6
-
- Cellular Automata and Applications 5
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringCognitive Neuroscience
- Partner nations
- Saudi ArabiaUnited StatesEgypt
In The Last Decade
Mohammed A. Zidan
43 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 1.5k
- Electrical and Electronic Engineering 3.6k
- Cognitive Neuroscience 709
- Polymers and Plastics 469
- Artificial Intelligence 909
Countries citing papers authored by Mohammed A. Zidan
This map shows the geographic impact of Mohammed A. Zidan'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 Mohammed A. Zidan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed A. Zidan more than expected).
Fields of papers citing papers by Mohammed A. Zidan
This network shows the impact of papers produced by Mohammed A. Zidan. 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 Mohammed A. Zidan. The network helps show where Mohammed A. Zidan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohammed A. Zidan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 12 | |
| 2 | 2020 | 17 | |
| 3 | 2019 | 1 | |
| 4 | 2018 | 201 | |
| 5 | 2018 | 36 | |
| 6 | 2017 | 28 | |
| 7 | Reservoir computing using dynamic memristors for temporal information processingbreakdown → | 2017 | 766 |
| 8 | The future of electronics based on memristive systemsbreakdown → | 2017 | 1668 |
| 9 | 2017 | 1 | |
| 10 | Statistical Analysis for Memristor Crossbar Memories. | 2016 | 1 |
| 11 | 2016 | 38 | |
| 12 | 2015 | 103 | |
| 13 | 2014 | 25 | |
| 14 | 2014 | 19 | |
| 15 | 2014 | 1 | |
| 16 | 2014 | 1 | |
| 17 | 2014 | 66 | |
| 18 | 2013 | 5 | |
| 19 | 2013 | 2 | |
| 20 | 2010 | 68 |
About Mohammed A. Zidan
Mohammed A. Zidan is a scholar working on Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics and Electrical and Electronic Engineering, having authored 43 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (31 papers), Ferroelectric and Negative Capacitance Devices (22 papers), Neuroscience and Neural Engineering (15 papers), Chaos control and synchronization (8 papers), Chaos-based Image/Signal Encryption (6 papers), Cellular Automata and Applications (5 papers), Neural dynamics and brain function (4 papers) and CCD and CMOS Imaging Sensors (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Electrical and Electronic Engineering (3.6k citations) and Cognitive Neuroscience (709 citations). Mohammed A. Zidan has collaborated with scholars based in Saudi Arabia, United States and Egypt. Frequent co-authors include Wei Lü, John Paul Strachan, K. Saláma, Wen Ma, Chao Du, Fuxi Cai, Seung Hwan Lee, Ahmed G. Radwan, Hossam A. H. Fahmy and Muhammad M. Hussain. Their work appears in journals such as Nature Communications, Scientific Reports and Electronics Letters.
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.