Altaf Rahman
- Artificial Intelligence top 5%
- Molecular Biology
- Information Systems
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Topics
- Topic Modeling (8 papers)Natural Language Processing Techniques (8 papers)Speech and dialogue systems (4 papers)
- Journals
- Empirical Methods in Natural Language ProcessingNorth American Chapter of the Association for Computational LinguisticsMeeting of the Association for Computational Linguistics
- Partner nations
- United StatesMalaysia
In The Last Decade
Altaf Rahman
11 papers receiving 260 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 270
- Molecular Biology 31
- Information Systems 25
- Computer Vision and Pattern Recognition 21
- Management Science and Operations Research 17
Countries citing papers authored by Altaf Rahman
This map shows the geographic impact of Altaf Rahman'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 Altaf Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Altaf Rahman more than expected).
Fields of papers citing papers by Altaf Rahman
This network shows the impact of papers produced by Altaf Rahman. 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 Altaf Rahman. The network helps show where Altaf Rahman may publish in the future.
Co-authorship network of co-authors of Altaf Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Altaf Rahman. A scholar is included among the top collaborators of Altaf Rahman 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 Altaf Rahman. Altaf Rahman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | Learning the Fine-Grained Information Status of Discourse Entities | 12 |
| 4 | Resolving Complex Cases of Definite Pronouns: The Winograd Schema Challenge | 71 |
| 5 | Translation-Based Projection for Multilingual Coreference Resolution | 25 |
| 6 | 9 | |
| 7 | Coreference Resolution with World Knowledge | 74 |
| 8 | Learning the Information Status of Noun Phrases in Spoken Dialogues | 13 |
| 9 | Syntactic Parsing for Ranking-Based Coreference Resolution | 2 |
| 10 | Inducing Fine-Grained Semantic Classes via Hierarchical and Collective Classification | 19 |
| 11 | 49 |
About Altaf Rahman
Altaf Rahman is a scholar working on Artificial Intelligence, Information Systems and Management and Management of Technology and Innovation, having authored 11 papers that have together received 283 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Speech and dialogue systems (4 papers). The work is most often cited by research in Artificial Intelligence (270 citations), Health Informatics (2 citations) and Management Science and Operations Research (17 citations). Altaf Rahman has collaborated with scholars based in United States and Malaysia. Frequent co-authors include Vincent Ng, Philip S. Yu, Jingyuan Zhang, Sihong Xie and Yi Chang. Their work appears in journals such as Empirical Methods in Natural Language Processing, North American Chapter of the Association for Computational Linguistics and Meeting of the Association for Computational Linguistics.
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.