Nam V. Nguyen
- Health Informatics top 5%
- Ophthalmology top 5%
- Ocular Diseases and Behçet’s Syndrome 13
- Retinal Diseases and Treatments 7
- Retinal and Optic Conditions 5
- Genetics top 10%
-
- Quantum Computing Algorithms and Architecture 6
- Quantum Information and Cryptography 4
-
- CNS Lymphoma Diagnosis and Treatment 3
-
- Vasculitis and related conditions 3
-
- Machine Learning in Bioinformatics 2
- Co-authors
- Zhu HanLanchao LiuRong ZhengMohammad EsmalifalakDavid H. AlexanderSam GrossPegah Tootoonchi AfsharRyan Poplin
- Journals
- SHILAP Revista de lepidopterología (1 paper)Nature Biotechnology (1 paper)Ophthalmology (1 paper)
- Partner nations
- United StatesVietnamUnited Kingdom
In The Last Decade
Nam V. Nguyen
44 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Health Informatics 24
- Control and Systems Engineering 386
- Ophthalmology 126
- Computer Networks and Communications 301
- Genetics 312
Countries citing papers authored by Nam V. Nguyen
This map shows the geographic impact of Nam V. Nguyen'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 Nam V. Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nam V. Nguyen more than expected).
Fields of papers citing papers by Nam V. Nguyen
This network shows the impact of papers produced by Nam V. Nguyen. 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 Nam V. Nguyen. The network helps show where Nam V. Nguyen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nam V. Nguyen, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 0 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 25 | |
| 13 | 2021 | 36 | |
| 14 | 2021 | 2 | |
| 15 | 2019 | 14 | |
| 16 | 2019 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2019 | 58 | |
| 19 | 2018 | 2 | |
| 20 | 2010 | 31 |
About Nam V. Nguyen
Nam V. Nguyen is a scholar working on Ophthalmology, Neurology and Artificial Intelligence, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ocular Diseases and Behçet’s Syndrome (13 papers), Retinal Diseases and Treatments (7 papers), Quantum Computing Algorithms and Architecture (6 papers), Retinal and Optic Conditions (5 papers), Quantum Information and Cryptography (4 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Vasculitis and related conditions (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Health Informatics (24 citations), Control and Systems Engineering (386 citations) and Ophthalmology (126 citations). Nam V. Nguyen has collaborated with scholars based in United States, Vietnam and United Kingdom. Frequent co-authors include Zhu Han, Lanchao Liu, Rong Zheng, Mohammad Esmalifalak, David H. Alexander, Sam Gross, Pegah Tootoonchi Afshar, Ryan Poplin, Scott Schwartz and Mark A. DePristo. Their work appears in journals such as SHILAP Revista de lepidopterología, Nature Biotechnology and Ophthalmology.
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.