Ninh Pham
Impact in
- Computational Mathematics top 5%
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
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- Algorithms and Data Compression 2
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- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Rasmus Pagh (4 shared papers)Michael Mitzenmacher (1 shared paper)Tran Khanh Dang (1 shared paper)Quang Loc Le (1 shared paper)Toon Calders (1 shared paper)Hoang Thanh Lam (1 shared paper)Stephen Alstrup (2 shared papers)Francesco Silvestri (2 shared papers)
- Journals
- Algorithmica (1 paper)IT University Of Copenhagen (IT University of Copenhagen) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)Research at the University of Copenhagen (University of Copenhagen) (2 papers)TU/e Research Portal (1 paper)
- Partner nations
- DenmarkVietnamNew Zealand
In The Last Decade
Ninh Pham
9 papers receiving 325 citations
Peers
Comparison fields: 5 of 65
- Computational Mathematics 20
- Signal Processing 84
- Computer Vision and Pattern Recognition 149
- Artificial Intelligence 221
- Computer Networks and Communications 49
Countries citing papers authored by Ninh Pham
This map shows the geographic impact of Ninh 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 Ninh Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ninh Pham more than expected).
Fields of papers citing papers by Ninh Pham
This network shows the impact of papers produced by Ninh 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 Ninh Pham. The network helps show where Ninh Pham may publish in the future.
Co-authors
The 13 scholars most cited alongside Ninh 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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 178 | |
| 2 | 2012 | 67 | |
| 3 | 2014 | 40 | |
| 4 | 2010 | 25 | |
| 5 | 2011 | 22 | |
| 6 | 2021 | 5 | |
| 7 | 2017 | 3 | |
| 8 | On predicting student performance using low-rank matrix factorization techniques | 2017 | 3 |
| 9 | DABAI:A data driven project for e-Learning in Denmark | 2017 | 1 |
| 10 | 2025 | 0 |
About Ninh Pham
Ninh Pham is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Civil and Structural Engineering, having authored 10 papers that have together received 344 indexed citations. Recurring topics across this work include Data Management and Algorithms (4 papers), Time Series Analysis and Forecasting (2 papers), Data Mining Algorithms and Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Algorithms and Data Compression (2 papers), Computational Geometry and Mesh Generation (1 paper), Educational Tools and Methods (1 paper) and Online Learning and Analytics (1 paper). The work is most often cited by research in Computational Mathematics (20 citations), Signal Processing (84 citations), Computer Vision and Pattern Recognition (149 citations), Artificial Intelligence (221 citations) and Computer Networks and Communications (49 citations). Ninh Pham has collaborated with scholars based in Denmark, Vietnam and New Zealand. Frequent co-authors include Rasmus Pagh, Michael Mitzenmacher, Tran Khanh Dang, Quang Loc Le, Toon Calders, Hoang Thanh Lam, Stephen Alstrup, Francesco Silvestri, Hongbiao Dong and Linghan Zeng. Their work appears in journals such as Algorithmica, IT University Of Copenhagen (IT University of Copenhagen), Proceedings of the AAAI Conference on Artificial Intelligence, Research at the University of Copenhagen (University of Copenhagen) and TU/e Research Portal.
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.