Nizar Habash
- Artificial Intelligence top 0.05%
- Language and Linguistics top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Information Systems top 2%
- Sociology and Political Science top 10%
- Co-authors
- Owen RambowMona DiabRamy EskanderRyan M. RothHouda BouamorFatiha SadatAhmed El KholyNasser Zalmout
- Topics
- Natural Language Processing Techniques (205 papers)Topic Modeling (171 papers)Text Readability and Simplification (59 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputational LinguisticsSociological Methodology
- Partner nations
- United StatesUnited Arab EmiratesQatar
In The Last Decade
Nizar Habash
223 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 5.9k
- Language and Linguistics 687
- Computer Vision and Pattern Recognition 668
- Information Systems 447
- Sociology and Political Science 201
Countries citing papers authored by Nizar Habash
This map shows the geographic impact of Nizar Habash'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 Nizar Habash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nizar Habash more than expected).
Fields of papers citing papers by Nizar Habash
This network shows the impact of papers produced by Nizar Habash. 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 Nizar Habash. The network helps show where Nizar Habash may publish in the future.
Co-authorship network of co-authors of Nizar Habash
This figure shows the co-authorship network connecting the top 25 collaborators of Nizar Habash. A scholar is included among the top collaborators of Nizar Habash 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 Nizar Habash. Nizar Habash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 39 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 28 | |
| 11 | 6 | |
| 12 | Palmyra: A platform independent dependency annotation tool for morphologically rich languages | 2 |
| 13 | Building an Arabic Machine Translation Post-Edited Corpus: Guidelines and Annotation | 14 |
| 14 | 24 | |
| 15 | Developing an Egyptian Arabic Treebank: Impact of Dialectal Morphology on Annotation and Tool Development | 37 |
| 16 | 24 | |
| 17 | 1 | |
| 18 | Elissa: A Dialectal to Standard Arabic Machine Translation System | 24 |
| 19 | 6 | |
| 20 | Fuzzy Syntactic Reordering for Phrase-based Statistical Machine Translation | 5 |
About Nizar Habash
Nizar Habash is a scholar working on Artificial Intelligence, Language and Linguistics and Computer Vision and Pattern Recognition, having authored 238 papers that have together received 6.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (205 papers), Topic Modeling (171 papers) and Text Readability and Simplification (59 papers). The work is most often cited by research in Artificial Intelligence (5.9k citations), Language and Linguistics (687 citations) and Computer Vision and Pattern Recognition (668 citations). Nizar Habash has collaborated with scholars based in United States, United Arab Emirates and Qatar. Frequent co-authors include Owen Rambow, Mona Diab, Ramy Eskander, Ryan M. Roth, Houda Bouamor, Fatiha Sadat, Ahmed El Kholy, Nasser Zalmout, Wael Salloum and Salam Khalifa. Their work appears in journals such as SHILAP Revista de lepidopterología, Computational Linguistics and Sociological Methodology.
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.