Fahad Alturise
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Mechanical Engineering
- Molecular Biology
- Control and Systems Engineering top 10%
- Co-authors
- Tamim AlkhalifahSalem AlkhalafYaser Daanial KhanWaleed Mugahed Al-RahmiGhulam AliH. Elhosiny AliJaved RashidAbdalwali Lutfi
- Topics
- Machine Learning in Bioinformatics (17 papers)Thermodynamic and Exergetic Analyses of Power and Cooling Systems (10 papers)RNA and protein synthesis mechanisms (9 papers)
- Cited by
- Energy Engineering and Power TechnologyHealth InformaticsInformation Systems and Management
- Partner nations
- Saudi ArabiaChinaPakistan
In The Last Decade
Fahad Alturise
76 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 151
- Electrical and Electronic Engineering 206
- Artificial Intelligence 187
- Mechanical Engineering 132
- Molecular Biology 111
- Control and Systems Engineering 101
Countries citing papers authored by Fahad Alturise
This map shows the geographic impact of Fahad Alturise'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 Fahad Alturise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fahad Alturise more than expected).
Fields of papers citing papers by Fahad Alturise
This network shows the impact of papers produced by Fahad Alturise. 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 Fahad Alturise. The network helps show where Fahad Alturise may publish in the future.
Co-authorship network of co-authors of Fahad Alturise
This figure shows the co-authorship network connecting the top 25 collaborators of Fahad Alturise. A scholar is included among the top collaborators of Fahad Alturise 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 Fahad Alturise. Fahad Alturise is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 75 | |
| 8 | 15 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 6 | |
| 14 | 22 | |
| 15 | 4 | |
| 16 | 12 | |
| 17 | 15 | |
| 18 | 8 | |
| 19 | 13 | |
| 20 | 1 |
About Fahad Alturise
Fahad Alturise is a scholar working on Energy Engineering and Power Technology, Building and Construction and Mechanical Engineering, having authored 90 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (17 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (10 papers) and RNA and protein synthesis mechanisms (9 papers). The work is most often cited by research in Energy Engineering and Power Technology (68 citations), Health Informatics (15 citations) and Information Systems and Management (75 citations). Fahad Alturise has collaborated with scholars based in Saudi Arabia, China and Pakistan. Frequent co-authors include Tamim Alkhalifah, Salem Alkhalaf, Yaser Daanial Khan, Waleed Mugahed Al-Rahmi, Ghulam Ali, H. Elhosiny Ali, Javed Rashid, Abdalwali Lutfi, Ali Mugahed Al-Rahmi and Mahmaod Alrawad. Their work appears in journals such as PLoS ONE, Journal of Cleaner Production 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.