Nadi Tomeh

668 total citations
28 papers, 316 citations indexed

About

Nadi Tomeh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Nadi Tomeh has authored 28 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Nadi Tomeh's work include Natural Language Processing Techniques (25 papers), Topic Modeling (23 papers) and Text Readability and Simplification (8 papers). Nadi Tomeh is often cited by papers focused on Natural Language Processing Techniques (25 papers), Topic Modeling (23 papers) and Text Readability and Simplification (8 papers). Nadi Tomeh collaborates with scholars based in France, United States and United Arab Emirates. Nadi Tomeh's co-authors include Nizar Habash, Ramy Eskander, Owen Rambow, Ryan M. Roth, Thierry Charnois, Joseph Le Roux, Noura Farra, Alla Rozovskaya, Wajdi Zaghouani and Ossama Obeid and has published in prestigious journals such as Machine Translation, Joint Research Centre (European Commission) and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Nadi Tomeh

28 papers receiving 292 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nadi Tomeh France 9 297 36 30 25 12 28 316
Kilian Evang Netherlands 11 311 1.0× 34 0.9× 21 0.7× 26 1.0× 11 0.9× 25 338
Mohammed Attia United States 13 426 1.4× 53 1.5× 44 1.5× 45 1.8× 15 1.3× 37 468
Tanveer J. Siddiqui India 12 248 0.8× 122 3.4× 41 1.4× 12 0.5× 10 0.8× 40 338
Diganta Saha India 8 307 1.0× 21 0.6× 28 0.9× 17 0.7× 8 0.7× 29 335
Tim Vieira United States 8 229 0.8× 34 0.9× 39 1.3× 7 0.3× 9 0.8× 20 263
Younes Samih Germany 15 384 1.3× 35 1.0× 44 1.5× 27 1.1× 8 0.7× 34 407
Varvara Logacheva Russia 8 454 1.5× 56 1.6× 41 1.4× 11 0.4× 12 1.0× 32 483
Alok Ranjan Pal India 7 285 1.0× 17 0.5× 25 0.8× 15 0.6× 7 0.6× 26 308
Miquel Esplà-Gomis Spain 9 255 0.9× 56 1.6× 28 0.9× 18 0.7× 3 0.3× 37 275

Countries citing papers authored by Nadi Tomeh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Tomeh, Nadi, et al.. (2024). An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19477–19487. 15 indexed citations
4.
Tomeh, Nadi, et al.. (2023). Cross-Dialectal Named Entity Recognition in Arabic. 140–149. 1 indexed citations
5.
Tomeh, Nadi, et al.. (2022). ArabIE: Joint Entity, Relation and Event Extraction for Arabic. 331–345. 4 indexed citations
6.
Tomeh, Nadi, et al.. (2022). Named Entity Recognition as Structured Span Prediction. 1–10. 7 indexed citations
7.
Tomeh, Nadi, et al.. (2022). Global Span Selection for Named Entity Recognition. 11–17. 4 indexed citations
8.
Tomeh, Nadi, et al.. (2022). AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization. SPIRE - Sciences Po Institutional REpository. 31–42. 28 indexed citations
9.
Zaghouani, Wajdi, Behrang Mohit, Nizar Habash, et al.. (2018). Large Scale Arabic Error Annotation: Guidelines and Framework. Figshare. 2362–2369. 32 indexed citations
10.
Obeid, Ossama, Wajdi Zaghouani, Behrang Mohit, et al.. (2018). A Web-based Annotation Framework for Large-scale Text Correction. Figshare. 1–4. 3 indexed citations
11.
Tomeh, Nadi, et al.. (2016). Deep Lexical Segmentation and Syntactic Parsing in the Easy-First Dependency Framework. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
12.
Constant, Mathieu, Joseph Le Roux, & Nadi Tomeh. (2016). Deep Lexical Segmentation and Syntactic Parsing in the Easy-First Dependency Framework. 1095–1101. 5 indexed citations
13.
Farra, Noura, Nadi Tomeh, Alla Rozovskaya, & Nizar Habash. (2014). Generalized Character-Level Spelling Error Correction. 12 indexed citations
14.
Tomeh, Nadi, Nizar Habash, Ryan M. Roth, et al.. (2013). Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition. Meeting of the Association for Computational Linguistics. 549–555. 6 indexed citations
15.
Eskander, Ramy, Nizar Habash, Owen Rambow, & Nadi Tomeh. (2013). Processing Spontaneous Orthography. North American Chapter of the Association for Computational Linguistics. 585–595. 32 indexed citations
16.
Habash, Nizar, Ryan M. Roth, Owen Rambow, Ramy Eskander, & Nadi Tomeh. (2013). Morphological Analysis and Disambiguation for Dialectal Arabic. North American Chapter of the Association for Computational Linguistics. 426–432. 91 indexed citations
17.
Gesmundo, Andréa & Nadi Tomeh. (2012). HadoopPerceptron: a Toolkit for Distributed Perceptron Training and Prediction with MapReduce. Conference of the European Chapter of the Association for Computational Linguistics. 97–101. 5 indexed citations
18.
Wang, Ling, Nadi Tomeh, Guang Xiang, Isabel Trancoso, & Alan W. Black. (2012). Improving Relative-Entropy Pruning using Statistical Significance. International Conference on Computational Linguistics. 713–722. 1 indexed citations
19.
Tomeh, Nadi, et al.. (2011). How Good Are Your Phrases? Assessing Phrase Quality with Single Class Classification. Joint Research Centre (European Commission). 261–268. 5 indexed citations
20.
Tomeh, Nadi, Alexandre Allauzen, François Yvon, & Guillaume Wisniewski. (2010). Refining Word Alignment with Discriminative Training. Conference of the Association for Machine Translation in the Americas. 3 indexed citations

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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