Lamia Tounsi
- Artificial Intelligence top 5%
- Information Systems
- Computer Vision and Pattern Recognition
- Sociology and Political Science
- Communication
- Co-authors
- Jennifer FosterJosef van GenabithMohammed AttiaPiyush AroraSantiago CortésDasha BogdanovaJoachim WagnerAntonio Toral
- Topics
- Topic Modeling (13 papers)Natural Language Processing Techniques (12 papers)Text Readability and Simplification (4 papers)
- Journals
- Language Resources and EvaluationStudies in health technology and informaticsJournal Français d Ophtalmologie
- Partner nations
- IrelandUnited StatesAustralia
In The Last Decade
Lamia Tounsi
17 papers receiving 389 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 419
- Information Systems 43
- Computer Vision and Pattern Recognition 26
- Sociology and Political Science 24
- Communication 23
Countries citing papers authored by Lamia Tounsi
This map shows the geographic impact of Lamia Tounsi'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 Lamia Tounsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lamia Tounsi more than expected).
Fields of papers citing papers by Lamia Tounsi
This network shows the impact of papers produced by Lamia Tounsi. 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 Lamia Tounsi. The network helps show where Lamia Tounsi may publish in the future.
Co-authorship network of co-authors of Lamia Tounsi
This figure shows the co-authorship network connecting the top 25 collaborators of Lamia Tounsi. A scholar is included among the top collaborators of Lamia Tounsi 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 Lamia Tounsi. Lamia Tounsi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Is all that Glitters in Machine Translation Quality Estimation really Gold | 8 |
| 2 | 161 | |
| 3 | 7 | |
| 4 | Sentiment Analysis of Political Tweets: Towards an Accurate Classifier | 79 |
| 5 | 2 | |
| 6 | Automatic Extraction and Evaluation of Arabic LFG Resources | 1 |
| 7 | An Open-Source Finite State Morphological Transducer for Modern Standard Arabic | 22 |
| 8 | Morphological Features for Parsing Morphologically-rich Languages: A Case of Arabic | 9 |
| 9 | Lexical Profiling for Arabic | 5 |
| 10 | An Automatically Built Named Entity Lexicon for Arabic | 24 |
| 11 | Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither | 67 |
| 12 | Arabic parsing using grammar transforms | 5 |
| 13 | Automatic Extraction of Arabic Multiword Expressions | 33 |
| 14 | 1 | |
| 15 | 11 | |
| 16 | 1 | |
| 17 | Parsing Arabic using treebank-based LFG resources | 9 |
About Lamia Tounsi
Lamia Tounsi is a scholar working on Artificial Intelligence, Ophthalmology and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 445 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Text Readability and Simplification (4 papers). The work is most often cited by research in Artificial Intelligence (419 citations), Communication (23 citations) and Information Systems (43 citations). Lamia Tounsi has collaborated with scholars based in Ireland, United States and Australia. Frequent co-authors include Jennifer Foster, Josef van Genabith, Mohammed Attia, Piyush Arora, Santiago Cortés, Dasha Bogdanova, Joachim Wagner, Antonio Toral, Mark Hughes and Pavel Pecina. Their work appears in journals such as Language Resources and Evaluation, Studies in health technology and informatics and Journal Français d Ophtalmologie.
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.