Ali Khiat
- Electrical and Electronic Engineering top 2%
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 5%
- Polymers and Plastics top 5%
- Materials Chemistry
- Co-authors
- Themis ProdromakisAlexander SerbRadu BerdanIulia SalaoruSpyros StathopoulosSimone CorteseMaria TrapatseliChristos Papavassiliou
- Topics
- Advanced Memory and Neural Computing (50 papers)Ferroelectric and Negative Capacitance Devices (31 papers)Neuroscience and Neural Engineering (27 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringCognitive Neuroscience
- Partner nations
- United KingdomChinaGreece
In The Last Decade
Ali Khiat
51 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 57
- Electrical and Electronic Engineering 1.9k
- Cellular and Molecular Neuroscience 1.0k
- Cognitive Neuroscience 441
- Polymers and Plastics 303
- Materials Chemistry 160
Countries citing papers authored by Ali Khiat
This map shows the geographic impact of Ali Khiat'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 Ali Khiat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Khiat more than expected).
Fields of papers citing papers by Ali Khiat
This network shows the impact of papers produced by Ali Khiat. 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 Ali Khiat. The network helps show where Ali Khiat may publish in the future.
Co-authorship network of co-authors of Ali Khiat
This figure shows the co-authorship network connecting the top 25 collaborators of Ali Khiat. A scholar is included among the top collaborators of Ali Khiat 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 Ali Khiat. Ali Khiat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 82 | |
| 3 | 12 | |
| 4 | 20 | |
| 5 | 39 | |
| 6 | 101 | |
| 7 | 76 | |
| 8 | 11 | |
| 9 | 229 | |
| 10 | 264 | |
| 11 | 7 | |
| 12 | 33 | |
| 13 | 140 | |
| 14 | 17 | |
| 15 | 109 | |
| 16 | 27 | |
| 17 | 27 | |
| 18 | 32 | |
| 19 | 107 | |
| 20 | 50 |
About Ali Khiat
Ali Khiat is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 51 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (50 papers), Ferroelectric and Negative Capacitance Devices (31 papers) and Neuroscience and Neural Engineering (27 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Electrical and Electronic Engineering (1.9k citations) and Cognitive Neuroscience (441 citations). Ali Khiat has collaborated with scholars based in United Kingdom, China and Greece. Frequent co-authors include Themis Prodromakis, Alexander Serb, Radu Berdan, Iulia Salaoru, Spyros Stathopoulos, Simone Cortese, Maria Trapatseli, Christos Papavassiliou, Robert Legenstein and Johannes Bill. Their work appears in journals such as Nature Communications, Applied Physics Letters and Journal of Applied Physics.
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.