Mohammed Attia

1.3k total citations
37 papers, 468 citations indexed

About

Mohammed Attia is a scholar working on Artificial Intelligence, Language and Linguistics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammed Attia has authored 37 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 4 papers in Language and Linguistics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammed Attia's work include Natural Language Processing Techniques (32 papers), Topic Modeling (27 papers) and Text Readability and Simplification (9 papers). Mohammed Attia is often cited by papers focused on Natural Language Processing Techniques (32 papers), Topic Modeling (27 papers) and Text Readability and Simplification (9 papers). Mohammed Attia collaborates with scholars based in United States, Ireland and Germany. Mohammed Attia's co-authors include Josef van Genabith, Younes Samih, Pavel Pecina, Lamia Tounsi, Laura Kallmeyer, Khaled Shaalan, Antonio Toral, Kareem Darwish, Hamdy Mubarak and Ahmed Abdelalí and has published in prestigious journals such as Language Resources and Evaluation, Natural Language Engineering and Journal of Logic and Computation.

In The Last Decade

Mohammed Attia

35 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed Attia United States 13 426 53 45 44 15 37 468
Nasser Zalmout United Arab Emirates 12 398 0.9× 51 1.0× 65 1.4× 32 0.7× 9 0.6× 24 423
Younes Samih Germany 15 384 0.9× 35 0.7× 27 0.6× 44 1.0× 8 0.5× 34 407
Stephen Tratz United States 12 370 0.9× 38 0.7× 31 0.7× 35 0.8× 18 1.2× 33 430
Żeljko Agić Croatia 14 600 1.4× 65 1.2× 62 1.4× 22 0.5× 13 0.9× 48 634
Alham Fikri Aji United Kingdom 10 388 0.9× 79 1.5× 19 0.4× 46 1.0× 11 0.7× 36 451
Mihael Arčan Ireland 12 415 1.0× 50 0.9× 37 0.8× 52 1.2× 6 0.4× 52 434
Sandipan Dandapat India 12 422 1.0× 72 1.4× 16 0.4× 42 1.0× 6 0.4× 48 464
Fatiha Sadat Canada 13 634 1.5× 65 1.2× 57 1.3× 88 2.0× 5 0.3× 65 661
Mary Ellen Okurowski United States 7 598 1.4× 28 0.5× 58 1.3× 39 0.9× 9 0.6× 19 637
Lamia Tounsi Ireland 9 419 1.0× 26 0.5× 11 0.2× 43 1.0× 9 0.6× 17 445

Countries citing papers authored by Mohammed Attia

Since Specialization
Citations

This map shows the geographic impact of Mohammed Attia'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 Mohammed Attia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Attia more than expected).

Fields of papers citing papers by Mohammed Attia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed Attia. 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 Mohammed Attia. The network helps show where Mohammed Attia may publish in the future.

Co-authorship network of co-authors of Mohammed Attia

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Attia. A scholar is included among the top collaborators of Mohammed Attia 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 Mohammed Attia. Mohammed Attia 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.
Attia, Mohammed. (2019). Discrete greedy flower pollination algorithm for spherical traveling salesman problem. Springer US. 1 indexed citations
2.
Attia, Mohammed, Younes Samih, Ali Elkahky, & Laura Kallmeyer. (2018). Multilingual Multi-class Sentiment Classification Using Convolutional Neural Networks. Language Resources and Evaluation. 27 indexed citations
3.
Attia, Mohammed, Younes Samih, & Wolfgang Maier. (2018). GHHT at CALCS 2018: Named Entity Recognition for Dialectal Arabic Using Neural Networks. 98–102. 8 indexed citations
4.
Darwish, Kareem, Hamdy Mubarak, Ahmed Abdelalí, et al.. (2018). Multi-Dialect Arabic POS Tagging: A CRF Approach. 93–98. 21 indexed citations
5.
Attia, Mohammed, Suraj Maharjan, Younes Samih, Laura Kallmeyer, & Thamar Solorio. (2016). CogALex-V Shared Task: GHHH - Detecting Semantic Relations via Word Embeddings. International Conference on Computational Linguistics. 86–91. 7 indexed citations
6.
Attia, Mohammed, et al.. (2016). The Power of Language Music: Arabic Lemmatization through Patterns. International Conference on Computational Linguistics. 40–50. 5 indexed citations
7.
Hawwari, Abdelati, Mohammed Attia, Mahmoud Ghoneim, & Mona Diab. (2016). Explicit Fine grained Syntactic and Semantic Annotation of the Idafa Construction in Arabic. Language Resources and Evaluation. 3569–3577.
8.
Samih, Younes, Suraj Maharjan, Mohammed Attia, Laura Kallmeyer, & Thamar Solorio. (2016). Multilingual Code-switching Identification via LSTM Recurrent Neural Networks. 50–59. 33 indexed citations
9.
Diab, Mona, Mohamed Al-Badrashiny, Mohammed Attia, et al.. (2014). Tharwa: A Large Scale Dialectal Arabic - Standard Arabic - English Lexicon. Language Resources and Evaluation. 3782–3789. 20 indexed citations
10.
Attia, Mohammed, Mohamed Al-Badrashiny, & Mona Diab. (2014). GWU-HASP: Hybrid Arabic Spelling and Punctuation Corrector. 10 indexed citations
11.
Attia, Mohammed & Josef van Genabith. (2013). A jellyfish dictionary for Arabic. Dialnet (Universidad de la Rioja). 195–212. 4 indexed citations
12.
Attia, Mohammed, Khaled Shaalan, Lamia Tounsi, & Josef van Genabith. (2012). Automatic Extraction and Evaluation of Arabic LFG Resources. Language Resources and Evaluation. 1947–1954. 1 indexed citations
13.
Shaalan, Khaled, Mohammed Attia, Pavel Pecina, Younes Samih, & Josef van Genabith. (2012). Arabic Word Generation and Modelling for Spell Checking. Language Resources and Evaluation. 719–725. 28 indexed citations
14.
Shaalan, Khaled & Mohammed Attia. (2012). Handling Unknown Words in Arabic FST Morphology. 20–24. 4 indexed citations
15.
Attia, Mohammed, Younes Samih, Khaled Shaalan, & Josef van Genabith. (2012). The Floating Arabic Dictionary: An Automatic Method for Updating a Lexical Database through the Detection and Lemmatization of Unknown Words. 83–96. 7 indexed citations
16.
Attia, Mohammed, Pavel Pecina, Younes Samih, Khaled Shaalan, & Josef van Genabith. (2012). Improved Spelling Error Detection and Correction for Arabic. 103–112. 25 indexed citations
17.
Attia, Mohammed, Pavel Pecina, Antonio Toral, Lamia Tounsi, & Josef van Genabith. (2011). An Open-Source Finite State Morphological Transducer for Modern Standard Arabic. 125–133. 22 indexed citations
18.
Attia, Mohammed, Antonio Toral, Lamia Tounsi, Monica Monachini, & Josef van Genabith. (2010). An Automatically Built Named Entity Lexicon for Arabic. Language Resources and Evaluation. 24 indexed citations
19.
Attia, Mohammed, Antonio Toral, Lamia Tounsi, Pavel Pecina, & Josef van Genabith. (2010). Automatic Extraction of Arabic Multiword Expressions. Arrow@dit (Dublin Institute of Technology). 19–27. 33 indexed citations
20.
Tounsi, Lamia, Mohammed Attia, & Josef van Genabith. (2009). Automatic treebank-based acquisition of Arabic LFG dependency structures. Dublin City University Open Access Institutional Repository (Dublin City University). 45–45. 11 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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