Tuka Alhanai
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 10%
- Social Psychology top 10%
- Cognitive Neuroscience
- Signal Processing top 10%
- Co-authors
- James GlassMohammad R. GhassemiMohammad M. GhassemiTaosheng LiuLana El ChaarLisa Ann LamontRhoda AuWei-Ning Hsu
- Topics
- EEG and Brain-Computer Interfaces (5 papers)Speech Recognition and Synthesis (4 papers)Topic Modeling (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONECritical Care Medicine
- Partner nations
- United StatesUnited Arab EmiratesBelgium
In The Last Decade
Tuka Alhanai
29 papers receiving 470 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 221
- Experimental and Cognitive Psychology 147
- Social Psychology 123
- Cognitive Neuroscience 101
- Signal Processing 81
Countries citing papers authored by Tuka Alhanai
This map shows the geographic impact of Tuka Alhanai'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 Tuka Alhanai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuka Alhanai more than expected).
Fields of papers citing papers by Tuka Alhanai
This network shows the impact of papers produced by Tuka Alhanai. 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 Tuka Alhanai. The network helps show where Tuka Alhanai may publish in the future.
Co-authorship network of co-authors of Tuka Alhanai
This figure shows the co-authorship network connecting the top 25 collaborators of Tuka Alhanai. A scholar is included among the top collaborators of Tuka Alhanai 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 Tuka Alhanai. Tuka Alhanai 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 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 16 | |
| 8 | 8 | |
| 9 | 11 | |
| 10 | 32 | |
| 11 | 6 | |
| 12 | The Automated Venture Capitalist: Data and Methods to Predict the Fate of Startup Ventures | 2 |
| 13 | 28 | |
| 14 | 12 | |
| 15 | 26 | |
| 16 | Personalized Medication Dosing Using Volatile Data Streams. | 8 |
| 17 | 193 | |
| 18 | 4 | |
| 19 | 8 | |
| 20 | 19 |
About Tuka Alhanai
Tuka Alhanai is a scholar working on Signal Processing, Critical Care and Intensive Care Medicine and Artificial Intelligence, having authored 32 papers that have together received 502 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Speech Recognition and Synthesis (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (147 citations), Applied Psychology (53 citations) and Health Informatics (11 citations). Tuka Alhanai has collaborated with scholars based in United States, United Arab Emirates and Belgium. Frequent co-authors include James Glass, Mohammad R. Ghassemi, Mohammad M. Ghassemi, Taosheng Liu, Lana El Chaar, Lisa Ann Lamont, Rhoda Au, Wei-Ning Hsu, Roger G. Mark and Cody Karjadi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Critical Care Medicine.
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.