Nadi Tomeh
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition
- Information Systems
- Language and Linguistics top 10%
- Management Science and Operations Research
- Co-authors
- Nizar HabashRamy EskanderOwen RambowRyan M. RothThierry CharnoisJoseph Le RouxNoura FarraAlla Rozovskaya
- Topics
- Natural Language Processing Techniques (25 papers)Topic Modeling (23 papers)Text Readability and Simplification (8 papers)
- Journals
- Machine TranslationJoint Research Centre (European Commission)HAL (Le Centre pour la Communication Scientifique Directe)
- Partner nations
- FranceUnited StatesUnited Arab Emirates
In The Last Decade
Nadi Tomeh
28 papers receiving 292 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 297
- Computer Vision and Pattern Recognition 36
- Information Systems 30
- Language and Linguistics 25
- Management Science and Operations Research 12
Countries citing papers authored by Nadi Tomeh
This map shows the geographic impact of Nadi Tomeh'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 Nadi Tomeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadi Tomeh more than expected).
Fields of papers citing papers by Nadi Tomeh
This network shows the impact of papers produced by Nadi Tomeh. 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 Nadi Tomeh. The network helps show where Nadi Tomeh may publish in the future.
Co-authorship network of co-authors of Nadi Tomeh
This figure shows the co-authorship network connecting the top 25 collaborators of Nadi Tomeh. A scholar is included among the top collaborators of Nadi Tomeh 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 Nadi Tomeh. Nadi Tomeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 12 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 28 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 32 | |
| 10 | 3 | |
| 11 | Deep Lexical Segmentation and Syntactic Parsing in the Easy-First Dependency Framework | 3 |
| 12 | 5 | |
| 13 | 12 | |
| 14 | Morphological Analysis and Disambiguation for Dialectal Arabic | 91 |
| 15 | Processing Spontaneous Orthography | 32 |
| 16 | Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition | 6 |
| 17 | HadoopPerceptron: a Toolkit for Distributed Perceptron Training and Prediction with MapReduce | 5 |
| 18 | Improving Relative-Entropy Pruning using Statistical Significance | 1 |
| 19 | How Good Are Your Phrases? Assessing Phrase Quality with Single Class Classification | 5 |
| 20 | Refining Word Alignment with Discriminative Training | 3 |
About Nadi Tomeh
Nadi Tomeh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics, having authored 28 papers that have together received 316 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (25 papers), Topic Modeling (23 papers) and Text Readability and Simplification (8 papers). The work is most often cited by research in Artificial Intelligence (297 citations), Language and Linguistics (25 citations) and Computer Vision and Pattern Recognition (36 citations). Nadi Tomeh has collaborated with scholars based in France, United States and United Arab Emirates. Frequent co-authors include Nizar Habash, Ramy Eskander, Owen Rambow, Ryan M. Roth, Thierry Charnois, Joseph Le Roux, Noura Farra, Alla Rozovskaya, Ossama Obeid and Nicola Cancedda. Their work appears in journals such as Machine Translation, Joint Research Centre (European Commission) and HAL (Le Centre pour la Communication Scientifique Directe).
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.