Nasser Zalmout
- Artificial Intelligence top 5%
- Language and Linguistics top 5%
- Computer Vision and Pattern Recognition
- Information Systems
- Sociology and Political Science
- Co-authors
- Nizar HabashAlexander ErdmannMustafa JarrarSalam KhalifaFadhl EryaniDima TajiOssama ObeidMai Oudah
- Topics
- Topic Modeling (18 papers)Natural Language Processing Techniques (18 papers)Text Readability and Simplification (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaLanguage Resources and EvaluationInternational Conference on Computational Linguistics
- Partner nations
- United Arab EmiratesUnited StatesPalestinian Territory
In The Last Decade
Nasser Zalmout
24 papers receiving 385 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 398
- Language and Linguistics 65
- Computer Vision and Pattern Recognition 51
- Information Systems 32
- Sociology and Political Science 16
Countries citing papers authored by Nasser Zalmout
This map shows the geographic impact of Nasser Zalmout'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 Nasser Zalmout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nasser Zalmout more than expected).
Fields of papers citing papers by Nasser Zalmout
This network shows the impact of papers produced by Nasser Zalmout. 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 Nasser Zalmout. The network helps show where Nasser Zalmout may publish in the future.
Co-authorship network of co-authors of Nasser Zalmout
This figure shows the co-authorship network connecting the top 25 collaborators of Nasser Zalmout. A scholar is included among the top collaborators of Nasser Zalmout 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 Nasser Zalmout. Nasser Zalmout 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 | 4 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 21 | |
| 6 | 8 | |
| 7 | Morphological analysis and disambiguation for Gulf Arabic: The interplay between resources and methods | 7 |
| 8 | CAMeL tools: An open source python toolkit for arabic natural language processing | 88 |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 18 | |
| 12 | 16 | |
| 13 | 12 | |
| 14 | 14 | |
| 15 | 34 | |
| 16 | YAMAMA: Yet another multi-dialect Arabic morphological analyzer | 20 |
| 17 | Analysis of Foreign Language Teaching Methods: An Automatic Readability Approach | 6 |
| 18 | 54 | |
| 19 | 39 | |
| 20 | 5 |
About Nasser Zalmout
Nasser Zalmout is a scholar working on Artificial Intelligence, Language and Linguistics and Information Systems, having authored 24 papers that have together received 423 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (18 papers) and Text Readability and Simplification (5 papers). The work is most often cited by research in Artificial Intelligence (398 citations), Language and Linguistics (65 citations) and Computer Vision and Pattern Recognition (51 citations). Nasser Zalmout has collaborated with scholars based in United Arab Emirates, United States and Palestinian Territory. Frequent co-authors include Nizar Habash, Alexander Erdmann, Mustafa Jarrar, Salam Khalifa, Fadhl Eryani, Dima Taji, Ossama Obeid, Mai Oudah, Bashar Alhafni and Go Inoue. Their work appears in journals such as SHILAP Revista de lepidopterología, Language Resources and Evaluation and International Conference on 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.