R.T. Ng
Impact in
- Signal Processing top 1%
- Data Management and Algorithms
- Artificial Intelligence top 2%
- Advanced Clustering Algorithms Research
- Anomaly Detection Techniques and Applications
Papers in
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- Data Management and Algorithms 6
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- Bayesian Modeling and Causal Inference 2
- Logic, Reasoning, and Knowledge 2
- Algorithms and Data Compression 2
- Co-authors
- Jiawei Han (1 shared paper)Laks V. S. Lakshmanan (1 shared paper)Edwin M. Knorr (1 shared paper)Giuseppe Carenini (1 shared paper)Shafiq Joty (1 shared paper)Anthony K. H. Tung (1 shared paper)Beng Chin Ooi (1 shared paper)H. V. Jagadish (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (4 papers)Information and Computation (1 paper)The Journal of Heart and Lung Transplantation (1 paper)Computer (1 paper)Journal of Artificial Intelligence Research (1 paper)
- Partner nations
- CanadaUnited StatesQatar
In The Last Decade
R.T. Ng
10 papers receiving 1.1k citations
R.T. Ng's Hit Papers
Peers
Comparison fields: 5 of 98
- Signal Processing 523
- Artificial Intelligence 763
- Information Systems 461
- Computer Vision and Pattern Recognition 224
- Computational Theory and Mathematics 156
Countries citing papers authored by R.T. Ng
This map shows the geographic impact of R.T. Ng'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 R.T. Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.T. Ng more than expected).
Fields of papers citing papers by R.T. Ng
This network shows the impact of papers produced by R.T. Ng. 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 R.T. Ng. The network helps show where R.T. Ng may publish in the future.
Co-authors
The 21 scholars most cited alongside R.T. Ng, 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 | CLARANS: a method for clustering objects for spatial data mining Hit paper breakdown → | 2002 | 901 |
| 2 | 1999 | 126 | |
| 3 | 1996 | 71 | |
| 4 | 2013 | 42 | |
| 5 | 2004 | 34 | |
| 6 | 1995 | 22 | |
| 7 | 2003 | 19 | |
| 8 | 1997 | 14 | |
| 9 | 1999 | 6 | |
| 10 | 2009 | 1 |
About R.T. Ng
R.T. Ng is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Computer Networks and Communications and Transplantation, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Management and Algorithms (6 papers), Data Mining Algorithms and Applications (4 papers), Advanced Database Systems and Queries (3 papers), Bayesian Modeling and Causal Inference (2 papers), Logic, Reasoning, and Knowledge (2 papers), Algorithms and Data Compression (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Signal Processing (523 citations), Artificial Intelligence (763 citations), Information Systems (461 citations), Computer Vision and Pattern Recognition (224 citations) and Computational Theory and Mathematics (156 citations). R.T. Ng has collaborated with scholars based in Canada, United States and Qatar. Frequent co-authors include Jiawei Han, Laks V. S. Lakshmanan, Jiawei Han, Edwin M. Knorr, Giuseppe Carenini, Shafiq Joty, Anthony K. H. Tung, Beng Chin Ooi, H. V. Jagadish and Anil Nerode. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Information and Computation, The Journal of Heart and Lung Transplantation, Computer and Journal of Artificial Intelligence Research.
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.