Van-Hai Pham
Impact in
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- Multi-Criteria Decision Making
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- Data Management and Algorithms
Papers in
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- Multi-Criteria Decision Making 8
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- Context-Aware Activity Recognition Systems 10
- Co-authors
- Philip T. Moore (19 shared papers)Philip Bonello (2 shared papers)Trần Mạnh Tuấn (2 shared papers)Trần Thị Ngân (1 shared paper)Lê Hoàng Sơn (2 shared papers)Nguyễn Long Giang (1 shared paper)Võ Trương Như Ngọc (1 shared paper)Hanifa Shah (4 shared papers)
- Journals
- IEEE Access (5 papers)Journal of Intelligent & Fuzzy Systems (3 papers)Heliyon (1 paper)Information Sciences (1 paper)The Knowledge Engineering Review (1 paper)
- Partner nations
- VietnamJapanUnited Kingdom
In The Last Decade
Van-Hai Pham
43 papers receiving 330 citations
Peers
Comparison fields: 5 of 87
- Management Science and Operations Research 70
- Signal Processing 39
- Computer Vision and Pattern Recognition 68
- Artificial Intelligence 101
- Health Information Management 12
Countries citing papers authored by Van-Hai Pham
This map shows the geographic impact of Van-Hai Pham'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 Van-Hai Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Van-Hai Pham more than expected).
Fields of papers citing papers by Van-Hai Pham
This network shows the impact of papers produced by Van-Hai Pham. 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 Van-Hai Pham. The network helps show where Van-Hai Pham may publish in the future.
Co-authors
The 25 scholars most cited alongside Van-Hai Pham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 54 | |
| 2 | 2015 | 25 | |
| 3 | 2013 | 21 | |
| 4 | 2013 | 19 | |
| 5 | 2012 | 19 | |
| 6 | 2014 | 16 | |
| 7 | 2011 | 16 | |
| 8 | 2015 | 15 | |
| 9 | 2012 | 13 | |
| 10 | 2017 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2013 | 8 | |
| 13 | 2019 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2023 | 6 |
About Van-Hai Pham
Van-Hai Pham is a scholar working on Management Science and Operations Research, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Artificial Intelligence, having authored 49 papers that have together received 341 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (10 papers), Multi-Criteria Decision Making (8 papers), Data Management and Algorithms (7 papers), IoT and Edge/Fog Computing (4 papers), Rough Sets and Fuzzy Logic (3 papers), Time Series Analysis and Forecasting (3 papers), Mobile Learning in Education (3 papers) and Educational Technology and Assessment (3 papers). The work is most often cited by research in Management Science and Operations Research (70 citations), Signal Processing (39 citations), Computer Vision and Pattern Recognition (68 citations), Artificial Intelligence (101 citations) and Health Information Management (12 citations). Van-Hai Pham has collaborated with scholars based in Vietnam, Japan and United Kingdom. Frequent co-authors include Philip T. Moore, Philip Bonello, Trần Mạnh Tuấn, Trần Thị Ngân, Lê Hoàng Sơn, Nguyễn Long Giang, Võ Trương Như Ngọc, Hanifa Shah, Craig B. Chapman and Katsuari Kamei. Their work appears in journals such as IEEE Access, Journal of Intelligent & Fuzzy Systems, Heliyon, Information Sciences and The Knowledge Engineering Review.
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.