Feras Barneih
- Water Science and Technology top 10%
- Environmental Engineering top 10%
- Industrial and Manufacturing Engineering top 10%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Nida NasirA. I. Al-Shamma’aAbdallah ShanablehMustafa SameerTalal BonnyMohammed Al-ShabiMohammad Al‐ShabiMuhammad Ikram
- Topics
- Water Quality Monitoring Technologies (3 papers)EEG and Brain-Computer Interfaces (3 papers)Non-Invasive Vital Sign Monitoring (3 papers)
- Cited by
- Water Science and TechnologyEnvironmental EngineeringIndustrial and Manufacturing Engineering
- Journals
- Journal of Water Process EngineeringIntelligent Systems with Applications2022 Advances in Science and Engineering Technology International Conferences (ASET)
- Partner nations
- United Arab EmiratesUnited KingdomIndia
In The Last Decade
Feras Barneih
13 papers receiving 320 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Water Science and Technology 164
- Environmental Engineering 147
- Industrial and Manufacturing Engineering 49
- Artificial Intelligence 47
- Radiology, Nuclear Medicine and Imaging 42
Countries citing papers authored by Feras Barneih
This map shows the geographic impact of Feras Barneih'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 Feras Barneih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feras Barneih more than expected).
Fields of papers citing papers by Feras Barneih
This network shows the impact of papers produced by Feras Barneih. 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 Feras Barneih. The network helps show where Feras Barneih may publish in the future.
Co-authorship network of co-authors of Feras Barneih
This figure shows the co-authorship network connecting the top 25 collaborators of Feras Barneih. A scholar is included among the top collaborators of Feras Barneih 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 Feras Barneih. Feras Barneih 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 | 10 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 37 | |
| 9 | Water quality classification using machine learning algorithmsbreakdown → | 216 |
| 10 | 12 | |
| 11 | 15 | |
| 12 | 12 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | 9 | |
| 16 | 2 |
About Feras Barneih
Feras Barneih is a scholar working on Water Science and Technology, Health Information Management and Cognitive Neuroscience, having authored 16 papers that have together received 330 indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Non-Invasive Vital Sign Monitoring (3 papers). The work is most often cited by research in Water Science and Technology (164 citations), Environmental Engineering (147 citations) and Industrial and Manufacturing Engineering (49 citations). Feras Barneih has collaborated with scholars based in United Arab Emirates, United Kingdom and India. Frequent co-authors include Nida Nasir, A. I. Al-Shamma’a, Abdallah Shanableh, Mustafa Sameer, Talal Bonny, Mohammed Al-Shabi, Mohammad Al‐Shabi and Muhammad Ikram. Their work appears in journals such as Journal of Water Process Engineering, Intelligent Systems with Applications and 2022 Advances in Science and Engineering Technology International Conferences (ASET).
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.