Mona Diab
Impact in
- Artificial Intelligence top 0.1%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Text Readability and Simplification
- Speech and dialogue systems
- Authorship Attribution and Profiling
- Language and Linguistics top 2%
Papers in
-
- Topic Modeling 139
- Natural Language Processing Techniques 130
- Text Readability and Simplification 34
- Sentiment Analysis and Opinion Mining 22
- Advanced Text Analysis Techniques 22
- Text and Document Classification Technologies 20
- Speech and dialogue systems 17
- Authorship Attribution and Profiling 12
- Co-authors
- Muhammad Abdul-Mageed (7 shared papers)Eneko Agirre (5 shared papers)Daniel Cer (5 shared papers)Aitor González-Agirre (5 shared papers)Weiwei Guo (17 shared papers)Owen Rambow (18 shared papers)Nizar Habash (18 shared papers)Philip Resnik (3 shared papers)
- Journals
- Language Resources and Evaluation (13 papers)IEEE Transactions on Audio Speech and Language Processing (1 paper)Computer Speech & Language (1 paper)BMC Health Services Research (1 paper)Journal of Nanoparticle Research (1 paper)
- Partner nations
- United StatesSpainSaudi Arabia
In The Last Decade
Mona Diab
174 papers receiving 5.2k citations
Mona Diab's Hit Papers
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 5.4k
- Language and Linguistics 289
- Computer Vision and Pattern Recognition 524
- Information Systems 576
- Linguistics and Language 85
Countries citing papers authored by Mona Diab
This map shows the geographic impact of Mona Diab'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 Mona Diab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona Diab more than expected).
Fields of papers citing papers by Mona Diab
This network shows the impact of papers produced by Mona Diab. 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 Mona Diab. The network helps show where Mona Diab may publish in the future.
Co-authors
The 25 scholars most cited alongside Mona Diab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 187 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity Hit paper breakdown → | 2012 | 422 |
| 2 | MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic Hit paper breakdown → | 2014 | 415 |
| 3 | SemEval-2014 Task 10: Multilingual Semantic Textual Similarity Hit paper breakdown → | 2014 | 308 |
| 4 | SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation Hit paper breakdown → | 2016 | 297 |
| 5 | SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability Hit paper breakdown → | 2015 | 297 |
| 6 | 2004 | 233 | |
| 7 | *SEM 2013 shared task: Semantic Textual Similarity | 2013 | 232 |
| 8 | 2013 | 184 | |
| 9 | Subjectivity and Sentiment Analysis of Modern Standard Arabic | 2011 | 157 |
| 10 | 2001 | 154 | |
| 11 | 2012 | 114 | |
| 12 | 2008 | 105 | |
| 13 | 2014 | 101 | |
| 14 | 2012 | 94 | |
| 15 | 2016 | 87 | |
| 16 | 2012 | 84 | |
| 17 | Sentence Level Dialect Identification in Arabic | 2013 | 82 |
| 18 | 1999 | 81 | |
| 19 | 2021 | 77 | |
| 20 | 2006 | 77 |
About Mona Diab
Mona Diab is a scholar working on Artificial Intelligence, Language and Linguistics, Sociology and Political Science, Computer Vision and Pattern Recognition and Information Systems, having authored 187 papers that have together received 5.8k indexed citations. Recurring topics across this work include Topic Modeling (139 papers), Natural Language Processing Techniques (130 papers), Text Readability and Simplification (34 papers), Sentiment Analysis and Opinion Mining (22 papers), Advanced Text Analysis Techniques (22 papers), Text and Document Classification Technologies (20 papers), Speech and dialogue systems (17 papers) and Authorship Attribution and Profiling (12 papers). The work is most often cited by research in Artificial Intelligence (5.4k citations), Language and Linguistics (289 citations), Computer Vision and Pattern Recognition (524 citations), Information Systems (576 citations) and Linguistics and Language (85 citations). Mona Diab has collaborated with scholars based in United States, Spain and Saudi Arabia. Frequent co-authors include Muhammad Abdul-Mageed, Eneko Agirre, Daniel Cer, Aitor González-Agirre, Weiwei Guo, Owen Rambow, Nizar Habash, Philip Resnik, Heba Elfardy and Carmen Banea. Their work appears in journals such as Language Resources and Evaluation, IEEE Transactions on Audio Speech and Language Processing, Computer Speech & Language, BMC Health Services Research and Journal of Nanoparticle Research.
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.