Heba Abunahla
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Polymers and Plastics
- Materials Chemistry
- Co-authors
- Baker MohammadAnas AlazzamMaguy Abi JaoudéYasmin HalawaniSabina Abdul HadiYawar AbbasMahmoud Al‐QutayriMoh’d Rezeq
- Topics
- Advanced Memory and Neural Computing (26 papers)Ferroelectric and Negative Capacitance Devices (16 papers)Neuroscience and Neural Engineering (14 papers)
- Cited by
- Electrical and Electronic EngineeringCellular and Molecular NeuroscienceHardware and Architecture
- Partner nations
- United Arab EmiratesNetherlandsAustralia
In The Last Decade
Heba Abunahla
31 papers receiving 468 citations
Peers
Comparison fields: 5 of 50
- Electrical and Electronic Engineering 416
- Cellular and Molecular Neuroscience 130
- Biomedical Engineering 82
- Polymers and Plastics 78
- Materials Chemistry 63
Countries citing papers authored by Heba Abunahla
This map shows the geographic impact of Heba Abunahla'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 Heba Abunahla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heba Abunahla more than expected).
Fields of papers citing papers by Heba Abunahla
This network shows the impact of papers produced by Heba Abunahla. 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 Heba Abunahla. The network helps show where Heba Abunahla may publish in the future.
Co-authorship network of co-authors of Heba Abunahla
This figure shows the co-authorship network connecting the top 25 collaborators of Heba Abunahla. A scholar is included among the top collaborators of Heba Abunahla 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 Heba Abunahla. Heba Abunahla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 21 | |
| 4 | 5 | |
| 5 | 37 | |
| 6 | 8 | |
| 7 | 11 | |
| 8 | 5 | |
| 9 | 14 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 11 | |
| 13 | 10 | |
| 14 | 6 | |
| 15 | 43 | |
| 16 | 18 | |
| 17 | 40 | |
| 18 | 43 | |
| 19 | 30 | |
| 20 | 27 |
About Heba Abunahla
Heba Abunahla is a scholar working on Hardware and Architecture, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 35 papers that have together received 481 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (16 papers) and Neuroscience and Neural Engineering (14 papers). The work is most often cited by research in Electrical and Electronic Engineering (416 citations), Cellular and Molecular Neuroscience (130 citations) and Hardware and Architecture (46 citations). Heba Abunahla has collaborated with scholars based in United Arab Emirates, Netherlands and Australia. Frequent co-authors include Baker Mohammad, Anas Alazzam, Maguy Abi Jaoudé, Yasmin Halawani, Sabina Abdul Hadi, Yawar Abbas, Mahmoud Al‐Qutayri, Moh’d Rezeq, Nahla Alamoodi and Dina Shehada. Their work appears in journals such as Advanced Functional Materials, Scientific Reports and IEEE Access.
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.