Vo Ngoc Anh
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 2%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Topics
- Algorithms and Data Compression (13 papers)Web Data Mining and Analysis (9 papers)Information Retrieval and Search Behavior (7 papers)
In The Last Decade
Vo Ngoc Anh
24 papers receiving 628 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 451
- Computer Networks and Communications 364
- Signal Processing 313
- Information Systems 294
- Computer Vision and Pattern Recognition 148
Countries citing papers authored by Vo Ngoc Anh
This map shows the geographic impact of Vo Ngoc Anh'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 Vo Ngoc Anh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vo Ngoc Anh more than expected).
Fields of papers citing papers by Vo Ngoc Anh
This network shows the impact of papers produced by Vo Ngoc Anh. 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 Vo Ngoc Anh. The network helps show where Vo Ngoc Anh may publish in the future.
Co-authorship network of co-authors of Vo Ngoc Anh
This figure shows the co-authorship network connecting the top 25 collaborators of Vo Ngoc Anh. A scholar is included among the top collaborators of Vo Ngoc Anh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vo Ngoc Anh. Vo Ngoc Anh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | The Role of Anchor Text in ClueWeb09 Retrieval. | 4 |
| 3 | 36 | |
| 4 | Passage Retrieval with Vector Space and Query-Level Aspect Models. | 3 |
| 5 | Melbourne University at the 2006 Terabyte Track | 2 |
| 6 | Combining Vector-Space and Word-based Aspect Models for Passage Retrieval | 6 |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 32 | |
| 10 | Melbourne University 2005: Enterprise and Terabyte Tracks | 1 |
| 11 | 46 | |
| 12 | 10 | |
| 13 | Index compression using fixed binary codewords | 21 |
| 14 | Collection-Independent Document-Centric Impacts. | 2 |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 12 | |
| 18 | Vector Space Ranking: Can We Keep it Simple? | 3 |
| 19 | Homepage Finding and Topic Distillation using a Common Retrieval Strategy | 4 |
| 20 | 7 |
About Vo Ngoc Anh
Vo Ngoc Anh is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 25 papers that have together received 691 indexed citations. Recurring topics across this work include Algorithms and Data Compression (13 papers), Web Data Mining and Analysis (9 papers) and Information Retrieval and Search Behavior (7 papers). The work is most often cited by research in Signal Processing (313 citations), Computer Networks and Communications (364 citations) and Artificial Intelligence (451 citations). Vo Ngoc Anh has collaborated with scholars based in Australia and Japan. Frequent co-authors include Alistair Moffat, Raymond Wan, Kiyoshi Asai, Hiroshi Mamitsuka, Ichigaku Takigawa and William Webber. Their work appears in journals such as Bioinformatics, Optics Letters and IEEE Transactions on Knowledge and Data Engineering.
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.