Mona Diab

11.2k citations
195 papers · 6.7k · 5 hit papers · h-index 39

Impact in

    • 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

Papers in

    • Topic Modeling 146
    • Natural Language Processing Techniques 137
    • Text Readability and Simplification 34
    • Sentiment Analysis and Opinion Mining 22
    • Advanced Text Analysis Techniques 22
    • Text and Document Classification Technologies 21
    • Speech and dialogue systems 19
    • Authorship Attribution and Profiling 14

Mona Diab

182 papers receiving 6.1k citations

Mona Diab's Hit Papers

SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation 2016 · 345 citations
3450+4+9Years since publication100200300400

Peers

Mona Diab
Comparison fields: 5 of 111
  • Artificial Intelligence 6.3k
  • Language and Linguistics 359
  • Information Systems 700
  • Computer Vision and Pattern Recognition 591
  • Linguistics and Language 100
Replace Diana Inkpen with:
Diana Inkpen Canada
Owen Rambow United States
Marie-Catherine de Marneffe United States
Joakim Nivre Sweden
Shlomo Argamon United States
Michael Gamon United States
Franciska de Jong Netherlands
Joel Tetreault United States
Manfred Stede Germany
Noah Constant United States
Mona Diab relative to Diana Inkpen Canada Diana Inkpen's profile →
Citations per field
00.5×2×2.8×
Diana Inkpen · 1×
Citations per year

Countries citing papers authored by Mona Diab

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mona Diab Line = papers co-authored together Mona Diab links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 195 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 →
2012467
2
MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic
Hit paper breakdown →
2014461
3
SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation
Hit paper breakdown →
2016345
4
SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability
Hit paper breakdown →
2015344
5
SemEval-2014 Task 10: Multilingual Semantic Textual Similarity
Hit paper breakdown →
2014338
6 2004262
7
*SEM 2013 shared task: Semantic Textual Similarity
2013258
8 2013211
9
Subjectivity and Sentiment Analysis of Modern Standard Arabic
2011193
10 2001175
11 2012136
12 2008121
13 2014112
14 2012107
15 201297
16 201697
17 199993
18 200893
19
Sentence Level Dialect Identification in Arabic
201391
20 202188

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 195 papers that have together received 6.7k indexed citations. Recurring topics across this work include Topic Modeling (146 papers), Natural Language Processing Techniques (137 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 (21 papers), Speech and dialogue systems (19 papers) and Authorship Attribution and Profiling (14 papers). The work is most often cited by research in Artificial Intelligence (6.3k citations), Language and Linguistics (359 citations), Information Systems (700 citations), Computer Vision and Pattern Recognition (591 citations) and Linguistics and Language (100 citations). Mona Diab has collaborated with scholars based in United States, Spain and Saudi Arabia. Frequent co-authors include Muhammad Abdul-Mageed, Eneko Agirre, Aitor González-Agirre, Daniel Cer, Weiwei Guo, Owen Rambow, Nizar Habash, Philip Resnik, Heba Elfardy and Janyce Wiebe. Their work appears in journals such as Language Resources and Evaluation, Artificial Intelligence Review, Journal of Nanoparticle Research, Computer Speech & Language and IEEE Transactions on Audio Speech and Language Processing.

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.

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