Ghaith Tarawneh
- Electrical and Electronic Engineering
- Ecology, Evolution, Behavior and Systematics top 10%
- Cellular and Molecular Neuroscience
- Cognitive Neuroscience
- Genetics
- Co-authors
- Jenny C. A. ReadAlex YakovlevVivek NityanandaIssa QiqiehDanil SokolovRishad ShafikRonny RosnerStuart Crichton
- Topics
- Low-power high-performance VLSI design (8 papers)Neurobiology and Insect Physiology Research (8 papers)Visual perception and processing mechanisms (6 papers)
- Cited by
- Hardware and ArchitectureEcology, Evolution, Behavior and SystematicsCellular and Molecular Neuroscience
- Partner nations
- United KingdomSpainHong Kong
In The Last Decade
Ghaith Tarawneh
23 papers receiving 361 citations
Peers
Comparison fields: 5 of 62
- Electrical and Electronic Engineering 143
- Ecology, Evolution, Behavior and Systematics 130
- Cellular and Molecular Neuroscience 107
- Cognitive Neuroscience 65
- Genetics 62
Countries citing papers authored by Ghaith Tarawneh
This map shows the geographic impact of Ghaith Tarawneh'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 Ghaith Tarawneh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ghaith Tarawneh more than expected).
Fields of papers citing papers by Ghaith Tarawneh
This network shows the impact of papers produced by Ghaith Tarawneh. 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 Ghaith Tarawneh. The network helps show where Ghaith Tarawneh may publish in the future.
Co-authorship network of co-authors of Ghaith Tarawneh
This figure shows the co-authorship network connecting the top 25 collaborators of Ghaith Tarawneh. A scholar is included among the top collaborators of Ghaith Tarawneh 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 Ghaith Tarawneh. Ghaith Tarawneh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 11 | |
| 4 | 23 | |
| 5 | 20 | |
| 6 | 0 | |
| 7 | 59 | |
| 8 | 1 | |
| 9 | 28 | |
| 10 | 71 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 11 | |
| 14 | 53 | |
| 15 | 20 | |
| 16 | 13 | |
| 17 | 9 | |
| 18 | 6 | |
| 19 | 8 | |
| 20 | 5 |
About Ghaith Tarawneh
Ghaith Tarawneh is a scholar working on Hardware and Architecture, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 24 papers that have together received 370 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (8 papers), Neurobiology and Insect Physiology Research (8 papers) and Visual perception and processing mechanisms (6 papers). The work is most often cited by research in Hardware and Architecture (55 citations), Ecology, Evolution, Behavior and Systematics (130 citations) and Cellular and Molecular Neuroscience (107 citations). Ghaith Tarawneh has collaborated with scholars based in United Kingdom, Spain and Hong Kong. Frequent co-authors include Jenny C. A. Read, Alex Yakovlev, Vivek Nityananda, Issa Qiqieh, Danil Sokolov, Rishad Shafik, Ronny Rosner, Stuart Crichton, Terrence Mak and Shidhartha Das. Their work appears in journals such as Nature Communications, Current Biology and Scientific Reports.
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.