Tamim Alkhalifah
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Molecular Biology
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Co-authors
- Fahad AlturiseYaser Daanial KhanSheraz AslamSuheel Abdullah MalikAmil DarazGhulam AliH. Elhosiny AliJaved Rashid
- Topics
- Machine Learning in Bioinformatics (18 papers)RNA and protein synthesis mechanisms (9 papers)Genomics and Phylogenetic Studies (6 papers)
- Cited by
- Energy Engineering and Power TechnologyBuilding and ConstructionControl and Systems Engineering
- Partner nations
- Saudi ArabiaPakistanChina
In The Last Decade
Tamim Alkhalifah
67 papers receiving 733 citations
Peers
Comparison fields: 5 of 145
- Electrical and Electronic Engineering 139
- Artificial Intelligence 125
- Molecular Biology 112
- Control and Systems Engineering 97
- Mechanical Engineering 85
Countries citing papers authored by Tamim Alkhalifah
This map shows the geographic impact of Tamim Alkhalifah'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 Tamim Alkhalifah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamim Alkhalifah more than expected).
Fields of papers citing papers by Tamim Alkhalifah
This network shows the impact of papers produced by Tamim Alkhalifah. 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 Tamim Alkhalifah. The network helps show where Tamim Alkhalifah may publish in the future.
Co-authorship network of co-authors of Tamim Alkhalifah
This figure shows the co-authorship network connecting the top 25 collaborators of Tamim Alkhalifah. A scholar is included among the top collaborators of Tamim Alkhalifah 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 Tamim Alkhalifah. Tamim Alkhalifah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 15 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 9 | |
| 13 | 7 | |
| 14 | 6 | |
| 15 | 22 | |
| 16 | 5 | |
| 17 | 9 | |
| 18 | 7 | |
| 19 | 8 | |
| 20 | 13 |
About Tamim Alkhalifah
Tamim Alkhalifah is a scholar working on Energy Engineering and Power Technology, Building and Construction and Complementary and Manual Therapy, having authored 79 papers that have together received 757 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (18 papers), RNA and protein synthesis mechanisms (9 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (29 citations), Building and Construction (72 citations) and Control and Systems Engineering (97 citations). Tamim Alkhalifah has collaborated with scholars based in Saudi Arabia, Pakistan and China. Frequent co-authors include Fahad Alturise, Yaser Daanial Khan, Sheraz Aslam, Suheel Abdullah Malik, Amil Daraz, Ghulam Ali, H. Elhosiny Ali, Javed Rashid, Salem Alkhalaf and Ahmad Taher Azar. Their work appears in journals such as Renewable and Sustainable Energy Reviews, PLoS ONE 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.