Ahmed T. Elthakeb
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Polymers and Plastics
- Co-authors
- Hadi EsmaeilzadehFatemehsadat MireshghallahAmir YazdanbakhshAtsunori TanakaEric HalgrenVikash GiljaShadi A. DayehYehea Ismail
- Topics
- Advancements in Semiconductor Devices and Circuit Design (3 papers)Semiconductor materials and devices (3 papers)Low-power high-performance VLSI design (2 papers)
- Cited by
- Cellular and Molecular NeurosciencePolymers and PlasticsComputer Vision and Pattern Recognition
- Partner nations
- EgyptUnited StatesBelgium
In The Last Decade
Ahmed T. Elthakeb
5 papers receiving 109 citations
Peers
Comparison fields: 5 of 26
- Electrical and Electronic Engineering 41
- Cellular and Molecular Neuroscience 39
- Artificial Intelligence 38
- Computer Vision and Pattern Recognition 28
- Polymers and Plastics 23
Countries citing papers authored by Ahmed T. Elthakeb
This map shows the geographic impact of Ahmed T. Elthakeb'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 Ahmed T. Elthakeb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahmed T. Elthakeb more than expected).
Fields of papers citing papers by Ahmed T. Elthakeb
This network shows the impact of papers produced by Ahmed T. Elthakeb. 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 Ahmed T. Elthakeb. The network helps show where Ahmed T. Elthakeb may publish in the future.
Co-authorship network of co-authors of Ahmed T. Elthakeb
This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed T. Elthakeb. A scholar is included among the top collaborators of Ahmed T. Elthakeb 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 Ahmed T. Elthakeb. Ahmed T. Elthakeb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | A Principled Approach to Learning Stochastic Representations for Privacy in Deep Neural Inference | 6 |
| 3 | 48 | |
| 4 | 11 | |
| 5 | 0 | |
| 6 | 3 |
About Ahmed T. Elthakeb
Ahmed T. Elthakeb is a scholar working on Computer Vision and Pattern Recognition, Polymers and Plastics and Artificial Intelligence, having authored 6 papers that have together received 111 indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (3 papers), Semiconductor materials and devices (3 papers) and Low-power high-performance VLSI design (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (39 citations), Polymers and Plastics (23 citations) and Computer Vision and Pattern Recognition (28 citations). Ahmed T. Elthakeb has collaborated with scholars based in Egypt, United States and Belgium. Frequent co-authors include Hadi Esmaeilzadeh, Fatemehsadat Mireshghallah, Amir Yazdanbakhsh, Atsunori Tanaka, Eric Halgren, Vikash Gilja, Shadi A. Dayeh, Yehea Ismail, Dean M. Tullsen and Ali Jalali. Their work appears in journals such as Advanced Functional Materials, IEEE Transactions on Electron Devices and IEEE Micro.
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.