Mona Diab
About
In The Last Decade
Mona Diab
173 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 5.4k
- Information Systems 574
- Computer Vision and Pattern Recognition 525
- Language and Linguistics 286
- Sociology and Political Science 247
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-authorship network of co-authors of Mona Diab
This figure shows the co-authorship network connecting the top 25 collaborators of Mona Diab. A scholar is included among the top collaborators of Mona Diab 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 Mona Diab. Mona Diab 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 | 2 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation breakdown → | 296 |
| 6 | LILI: A Simple Language Independent Approach for Language Identification | 9 |
| 7 | Computational Approaches to Linguistic Code Switching. | 0 |
| 8 | ASMA: A System for Automatic Segmentation and Morpho-Syntactic Disambiguation of Modern Standard Arabic | 8 |
| 9 | Identifying Opinion Subgroups in Arabic Online Discussions | 23 |
| 10 | Improving Lexical Semantics for Sentential Semantics: Modeling Selectional Preference and Similar Words in a Latent Variable Model | 6 |
| 11 | Simplified guidelines for the creation of Large Scale Dialectal Arabic Annotations | 21 |
| 12 | AWATIF: A Multi-Genre Corpus for Modern Standard Arabic Subjectivity and Sentiment Analysis | 114 |
| 13 | A Pilot PropBank Annotation for Quranic Arabic | 13 |
| 14 | Annotations for Power Relations on Email Threads | 8 |
| 15 | Conventional Orthography for Dialectal Arabic | 94 |
| 16 | Genre Independent Subgroup Detection in Online Discussion Threads: A Study of Implicit Attitude using Textual Latent Semantics | 9 |
| 17 | Predicting Overt Display of Power in Written Dialogs | 34 |
| 18 | SAMAR: A System for Subjectivity and Sentiment Analysis of Arabic Social Media | 76 |
| 19 | Task-based Evaluation of Multiword Expressions: a Pilot Study in Statistical Machine Translation | 51 |
| 20 | Automatic Committed Belief Tagging | 31 |
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.