Thanh‐Tung Bui
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Cerebral Venous Sinus Thrombosis
- Intracerebral and Subarachnoid Hemorrhage Research
- Hardware and Architecture top 10%
Papers in
-
- Cerebral Venous Sinus Thrombosis 2
- Vestibular and auditory disorders 2
- Neuroinflammation and Neurodegeneration Mechanisms 1
- Vascular Malformations Diagnosis and Treatment 1
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- Interconnection Networks and Systems 2
- Co-authors
- S.K. Chaudhuri (1 shared paper)M. Sipser (1 shared paper)Andrew D. Barreto (4 shared papers)Byung-Ro Moon (1 shared paper)Bing Yang (2 shared papers)Claude Nguyen (2 shared papers)Sean I. Savitz (2 shared papers)Farhaan Vahidy (2 shared papers)
- Journals
- Multiple Sclerosis Journal (1 paper)International Journal of Stroke (1 paper)Annals of Neurology (1 paper)COMBINATORICA (1 paper)Journal of Cerebral Blood Flow & Metabolism (1 paper)
- Partner nations
- United States
In The Last Decade
Thanh‐Tung Bui
7 papers receiving 378 citations
Peers
Comparison fields: 5 of 74
- Neurology 100
- Hardware and Architecture 53
- Discrete Mathematics and Combinatorics 20
- Computational Theory and Mathematics 94
- Computer Graphics and Computer-Aided Design 18
Countries citing papers authored by Thanh‐Tung Bui
This map shows the geographic impact of Thanh‐Tung Bui'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 Thanh‐Tung Bui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thanh‐Tung Bui more than expected).
Fields of papers citing papers by Thanh‐Tung Bui
This network shows the impact of papers produced by Thanh‐Tung Bui. 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 Thanh‐Tung Bui. The network helps show where Thanh‐Tung Bui may publish in the future.
Co-authors
The 23 scholars most cited alongside Thanh‐Tung Bui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 204 | |
| 2 | 2012 | 68 | |
| 3 | 2015 | 62 | |
| 4 | 2012 | 34 | |
| 5 | 2002 | 28 | |
| 6 | 2013 | 8 | |
| 7 | ON BISECTING RANDOM GRAPHS | 1983 | 6 |
About Thanh‐Tung Bui
Thanh‐Tung Bui is a scholar working on Neurology, Neurology, Computer Networks and Communications, Epidemiology and Electrical and Electronic Engineering, having authored 7 papers that have together received 410 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (2 papers), Cerebral Venous Sinus Thrombosis (2 papers), Interconnection Networks and Systems (2 papers), Vestibular and auditory disorders (2 papers), Vehicle Routing Optimization Methods (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Vascular Malformations Diagnosis and Treatment (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Neurology (100 citations), Hardware and Architecture (53 citations), Discrete Mathematics and Combinatorics (20 citations), Computational Theory and Mathematics (94 citations) and Computer Graphics and Computer-Aided Design (18 citations). Thanh‐Tung Bui has collaborated with scholars based in United States. Frequent co-authors include S.K. Chaudhuri, M. Sipser, Andrew D. Barreto, Byung-Ro Moon, Bing Yang, Claude Nguyen, Sean I. Savitz, Farhaan Vahidy, Jaroslaw Aronowski and Kaushik Parsha. Their work appears in journals such as Multiple Sclerosis Journal, International Journal of Stroke, Annals of Neurology, COMBINATORICA and Journal of Cerebral Blood Flow & Metabolism.
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.