Hassan Sajjad
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Sociology and Political Science top 10%
- Communication top 5%
- Information Systems top 10%
- Co-authors
- Nadir DurraniFahim DalviHelmut SchmidMuhammad ImranKareem DarwishAhmed AbdelalíAlexander FraserYonatan Belinkov
- Topics
- Topic Modeling (45 papers)Natural Language Processing Techniques (45 papers)Multimodal Machine Learning Applications (11 papers)
In The Last Decade
Hassan Sajjad
55 papers receiving 838 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 839
- Computer Vision and Pattern Recognition 174
- Sociology and Political Science 162
- Communication 138
- Information Systems 79
Countries citing papers authored by Hassan Sajjad
This map shows the geographic impact of Hassan Sajjad'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 Hassan Sajjad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hassan Sajjad more than expected).
Fields of papers citing papers by Hassan Sajjad
This network shows the impact of papers produced by Hassan Sajjad. 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 Hassan Sajjad. The network helps show where Hassan Sajjad may publish in the future.
Co-authorship network of co-authors of Hassan Sajjad
This figure shows the co-authorship network connecting the top 25 collaborators of Hassan Sajjad. A scholar is included among the top collaborators of Hassan Sajjad 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 Hassan Sajjad. Hassan Sajjad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder | 26 |
| 8 | Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks | 39 |
| 9 | 7 | |
| 10 | A Deep Fusion Model for Domain Adaptation in Phrase-based MT | 4 |
| 11 | QCRI $@$ DSL 2016: Spoken Arabic Dialect Identification Using Textual Features. | 14 |
| 12 | QCRI-MES Submission at WMT13: Using Transliteration Mining to Improve Statistical Machine Translation | 8 |
| 13 | Translating Dialectal Arabic to English | 31 |
| 14 | Munich-Edinburgh-Stuttgart Submissions of OSM Systems at WMT13 | 7 |
| 15 | Munich-Edinburgh-Stuttgart Submissions at WMT13: Morphological and Syntactic Processing for SMT | 9 |
| 16 | A Statistical Model for Unsupervised and Semi-supervised Transliteration Mining | 26 |
| 17 | Underspecified Query Refinement via Natural Language Question Generation | 6 |
| 18 | An Algorithm for Unsupervised Transliteration Mining with an Application to Word Alignment | 14 |
| 19 | Comparing Two Techniques for Learning Transliteration Models Using a Parallel Corpus | 6 |
| 20 | Hindi-to-Urdu Machine Translation through Transliteration | 32 |
About Hassan Sajjad
Hassan Sajjad is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Communication, having authored 58 papers that have together received 956 indexed citations. Recurring topics across this work include Topic Modeling (45 papers), Natural Language Processing Techniques (45 papers) and Multimodal Machine Learning Applications (11 papers). The work is most often cited by research in Artificial Intelligence (839 citations), Communication (138 citations) and Computer Vision and Pattern Recognition (174 citations). Hassan Sajjad has collaborated with scholars based in Qatar, Germany and Canada. Frequent co-authors include Nadir Durrani, Fahim Dalvi, Helmut Schmid, Muhammad Imran, Kareem Darwish, Ahmed Abdelalí, Alexander Fraser, Yonatan Belinkov, Stephan Vogel and Shafiq Joty. Their work appears in journals such as Computational Linguistics, International Journal of Disaster Risk Reduction and Language Resources and Evaluation.
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.