United Arab Emirates
Country7 institutions in 3 agglomerations · all countries
About
Profile
The United Arab Emirates appears in this library through a small group of universities and research institutes. Each has researchers who wrote at least two of the papers held on this site. The country listing places them in order of the cited work their scientists produced while at each institution. That makes the listing a view of where research activity on this site is concentrated within the country, not a census of its research system.
Seven institutions appear. Five are universities and two are research institutes. They are located in three cities: Abu Dhabi, Sharjah and Al Ain. Abu Dhabi is by far the most represented, home to five of the seven institutions, including all of those near the top of the order. Sharjah and Al Ain each contribute one university. The country listing forms part of a wider directory of institutions of all kinds, and the same ordering principle is used across it.
The listing is limited to the works and people the library covers. Many institutions in the country may carry out substantial research that is not reflected here, either because their papers are not held on this site or because fewer than two of them are. What follows describes the national picture as this collection presents it.
Institutions on this site
At the head of the list stands Mohamed bin Zayed University of Artificial Intelligence, a university in Abu Dhabi. Among the institutions in the country, its scientists account for the largest body of cited work in our library. It does not have the most works in the collection. Its first place comes from how often its papers have been cited, which points to a set of papers that other researchers have drawn on heavily. As its name indicates, the university is devoted to artificial intelligence. That makes the field the most visible thread in the country's presence on this site.
Second is New York University Abu Dhabi, also in Abu Dhabi. It has more works on the site than any other institution in the country, more even than the university ranked above it. Its cited work is substantial but spread across a larger number of papers. In the collection, it therefore stands out for breadth of output, while Mohamed bin Zayed University of Artificial Intelligence stands out for concentration of citations. The listing does not show the fields of its papers, so nothing can be said here about its particular subjects.
Third is the Technology Innovation Institute, a research institute in Abu Dhabi. Only a few of its works appear on the site, yet they have attracted a notable share of citations. This places it ahead of institutions with more papers in the collection. Its standing rests on a small number of works that others have cited widely, rather than on volume.
Fourth is the Inception Institute of Artificial Intelligence, a second research institute in Abu Dhabi. Its name, like that of the first-ranked university, points to artificial intelligence. It has a handful of works on the site, and their citations place it well ahead of the remaining universities. Together with Mohamed bin Zayed University of Artificial Intelligence, it gives the country two institutions explicitly dedicated to the field among the four at the top of the order.
Fifth comes Zayed University, another Abu Dhabi university. It has only a couple of works on the site, and these have drawn very little citation so far. Its place in the order reflects how the listing weighs the cited work its scientists did there. That weighting does not track raw citation totals in every case.
The University of Sharjah follows. It is the only institution in the list located in Sharjah. Its works on the site are more numerous than those of Zayed University and have been cited considerably more. It nevertheless appears below Zayed University in the order, so the ranking measure differs from a plain sum of citations. Readers comparing these two entries should keep that in mind.
Last is United Arab Emirates University, in Al Ain, the only institution in the list from that city. Two of its works are on the site, with a modest level of citation. Its presence nonetheless extends the country's map in the collection beyond the two coastal emirate capitals.
Research strengths
The listing does not describe topics, fields or subject units for the country as a whole. Any account of research strengths must therefore rest on what the institutions themselves are and where they rank. On that basis, artificial intelligence is the clearest theme. The two institutions whose names refer to the field both appear in the top four. The first-ranked institution is a university devoted to it. Taken together, these two account for a large part of the cited work the country contributes to this site.
The Technology Innovation Institute adds a third research body in the upper part of the order. Its name points to technology and applied research in a general sense, but the listing does not say what its papers address. The universities further down the order offer no subject information either. Their individual entries in the library are the place to look for the topics their researchers have worked on.
Two of the most visible institutions are general universities: New York University Abu Dhabi and, further down, the University of Sharjah and United Arab Emirates University. This suggests that the country's presence on the site is not confined to one discipline. It also includes research from institutions with broader academic remits. How those remits translate into specific fields cannot be determined from the country listing alone.
Universities and research institutes
The country's entries divide between universities and dedicated research institutes. The universities form the majority. They include the institution that ranks first and the one with the most works on the site. The two research institutes, the Technology Innovation Institute and the Inception Institute of Artificial Intelligence, have far fewer papers here, but both rank above three of the universities. In this collection, the institutes therefore contribute focused bodies of work that have been cited well beyond what their small numbers of papers might suggest.
Among the universities, the pattern is uneven. The two at the top contribute a large share of the country's works and citations on the site. The other three appear with only a few papers each and much lower citation levels. The country's presence here is thus concentrated in a small number of institutions, with a longer tail of universities that are represented but not prominent.
Geography
Abu Dhabi dominates the country's place in the collection. Every institution in the top five is located there. These include both universities at the head of the order, both research institutes and Zayed University. The capital's institutions therefore account for nearly all of the country's cited work in our library.
Outside Abu Dhabi, two cities appear. Sharjah is represented by the University of Sharjah, and Al Ain by United Arab Emirates University. Both rank in the lower part of the order. Each contributes a small body of work that nonetheless extends the country's research map in the library beyond the capital. No other cities in the country appear in the listing.
Reading the order
The listing ranks institutions by the cited work their scientists did there. It is not ordered by the number of papers, nor strictly by total citations. This explains several features of the order. New York University Abu Dhabi has more papers than the institution ranked first. The Technology Innovation Institute, with very few papers, sits above the Inception Institute of Artificial Intelligence, which has a few more. Zayed University appears above the University of Sharjah despite a much smaller citation total. The ranking appears to give weight to the share of cited work attributable to each institution, rather than to raw totals alone.
Because the library is growing, these positions are not fixed. New papers, and new citations to existing ones, can change both the set of institutions that qualify and their order. An institution currently just below the threshold of two papers on the site could enter the list. The relative standing of those near the bottom could also shift as their works are cited.
What the listing does not show
The country listing names no individual scientists, works, collaborations or years. Those details belong to the institutions' own entries in the library. There, readers can find the researchers associated with each, the papers they wrote, and the topics and partners those papers involve. Anyone looking for the people behind the country's most cited work in our library would start with the entry for Mohamed bin Zayed University of Artificial Intelligence. Those interested in the widest body of papers would turn to New York University Abu Dhabi.
As a summary, the listing shows a national research presence on this site with four features. It is centred on Abu Dhabi and weighted toward artificial intelligence. It is carried largely by two universities, supported by two research institutes. A small group of universities in Abu Dhabi, Sharjah and Al Ain completes the list.
Where
Agglomerations (3)
- Abu Dhabi5 institutions5,777 citations
- Dubai1 institution152 citations
- Al Ain1 institution13 citations
Institutions (7)
🎓 Universities (5)
🔬 Labs and research institutes (2)
People (56)
Works in our library (81)
- Crosslingual Generalization through Multitask FinetuningNiklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 692 citations
- CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal DependenciesDaniel Zeman, Martin Popel, Milan Straka, et al.2017 · 604 citations
- The Falcon Series of Open Language ModelsEbtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 436 citations
- RLPrompt: Optimizing Discrete Text Prompts with Reinforcement LearningMingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.2022 · 327 citations
- Document-Level Machine Translation with Large Language ModelsLongyue Wang, Chenyang Lyu, Tianbo Ji, et al.2023 · 295 citations
- CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language ProcessingOssama Obeid, Nasser Zalmout, Salam Khalifa, et al.2020 · 288 citations
- Factuality Challenges in the Era of Large Language ModelsIsabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.2023 · 241 citations
- Humanity's Last ExamLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 235 citations
- TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
- Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language ModelsNeha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.2023 · 217 citations
- On the Risk of Misinformation Pollution with Large Language ModelsYikang Pan, Liangming Pan, Wenhu Chen, et al.2023 · 177 citations
- DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated TextJinyan Su, Terry Zhuo, Di Wang, et al.2023 · 172 citations
- Unified Guidelines and Resources for Arabic Dialect OrthographyNizar Habash, Fadhl Eryani, Salam Khalifa, et al.2018 · 117 citations
- ArabicMMLU: Assessing Massive Multitask Language Understanding in ArabicFajri Koto, Haonan Li, Sara Shatnawi, et al.2024 · 116 citations
- Physics of Language Models: Part 3.1, Knowledge Storage and ExtractionZeyuan Allen-Zhu, Yuanzhi Li2023 · 107 citations
- Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for ArabicNasser Zalmout, Nizar Habash2017 · 96 citations
- Arabic Fake News Detection Based on Deep Contextualized Embedding ModelsAli Bou Nassif, Ashraf Elnagar, Omar Elgendy, et al.2022 · 90 citations
- UniMorph 4.0: Universal MorphologyKhuyagbaatar Batsuren, Omer Goldman, Salam Khalifa2022 · 82 citations
- TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic VarietiesKarima Kadaoui, Samar M. Magdy, Abdul Waheed, et al.2023 · 60 citations
- Improving Arabic Diacritization through Syntactic AnalysisAnas Shahrour, Salam Khalifa, Nizar Habash2015 · 58 citations
- Universal Dependencies for ArabicDima Taji, Nizar Habash, Daniel Zeman2017 · 52 citations
- An Arabic Morphological Analyzer and Generator with Copious FeaturesDima Taji, Salam Khalifa, Ossama Obeid, et al.2018 · 52 citations
- CamelParser: A system for Arabic Syntactic Analysis and Morphological DisambiguationAnas Shahrour, Salam Khalifa, Dima Taji, et al.2016 · 44 citations
- Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological TaggingNasser Zalmout, Nizar Habash2020 · 44 citations
- Noise-Robust Morphological Disambiguation for Dialectal ArabicNasser Zalmout, Alexander Erdmann, Nizar Habash2018 · 42 citations
Topics
Semitic languages (64) Morphology (18) Language models & pretraining (14) Evaluation & benchmarks (9) Machine translation (5) Sentiment & emotion (4) Multilingual & cross-lingual NLP (4) Universal Dependencies (3) Tokenization & segmentation (3) Grammatical error correction & learner language (3) Dependency parsing (2) Question answering (2) Speech & spoken language (2) Low-resource languages (2) Implicature (1) Coreference resolution (1) Treebanks (1) Part-of-speech tagging (1) Bias, fairness & safety (1)
Fields
Linguistics & languages (65) Natural language processing (24) Machine translation (5) AI & machine learning (2) Mathematics & statistics (1)
Works by year
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