Mohamed Al-Badrashiny

1.1k total citations · 1 hit paper
27 papers, 730 citations indexed

About

Mohamed Al-Badrashiny is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Mohamed Al-Badrashiny has authored 27 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Mohamed Al-Badrashiny's work include Natural Language Processing Techniques (20 papers), Topic Modeling (18 papers) and Text Readability and Simplification (7 papers). Mohamed Al-Badrashiny is often cited by papers focused on Natural Language Processing Techniques (20 papers), Topic Modeling (18 papers) and Text Readability and Simplification (7 papers). Mohamed Al-Badrashiny collaborates with scholars based in United States, Saudi Arabia and Spain. Mohamed Al-Badrashiny's co-authors include Mona Diab, Ramy Eskander, Nizar Habash, Owen Rambow, Ryan M. Roth, Manoj Pooleery, Ahmed El Kholy, Heba Elfardy, Mohamed Attia and Mohsen Rashwan and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, Language Resources and Evaluation and Pattern Analysis and Applications.

In The Last Decade

Mohamed Al-Badrashiny

24 papers receiving 656 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic

2014 414 citations Mohamed Al-Badrashiny, Mona Diab et al. Language Resources and Evaluation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohamed Al-Badrashiny United States	11	685	94	75	68	20	27	730
Ramy Eskander United States	14	970 1.4×	110 1.2×	142 1.9×	95 1.4×	35 1.8×	30	1.0k
Beáta Megyesi Sweden	12	479 0.7×	79 0.8×	62 0.8×	47 0.7×	9 0.5×	77	567
Iñaki Alegria Spain	14	546 0.8×	46 0.5×	93 1.2×	50 0.7×	12 0.6×	86	603
Gideon Kotzé South Africa	5	274 0.4×	33 0.4×	56 0.7×	33 0.5×	19 0.9×	13	351
Stefanie Dipper Germany	13	475 0.7×	29 0.3×	124 1.7×	39 0.6×	15 0.8×	50	551
Benoît Sagot France	13	484 0.7×	35 0.4×	116 1.5×	22 0.3×	8 0.4×	83	536
Nasser Zalmout United Arab Emirates	12	398 0.6×	51 0.5×	65 0.9×	32 0.5×	16 0.8×	24	423
Petya Osenova Bulgaria	11	414 0.6×	24 0.3×	71 0.9×	56 0.8×	25 1.3×	71	479
Sámi Virpioja Finland	18	911 1.3×	99 1.1×	44 0.6×	28 0.4×	11 0.6×	63	974
Ines Rehbein Germany	12	401 0.6×	22 0.2×	53 0.7×	29 0.4×	11 0.6×	58	449

Countries citing papers authored by Mohamed Al-Badrashiny

Since Specialization

Citations

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

Fields of papers citing papers by Mohamed Al-Badrashiny

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed Al-Badrashiny. 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 Mohamed Al-Badrashiny. The network helps show where Mohamed Al-Badrashiny may publish in the future.

Co-authorship network of co-authors of Mohamed Al-Badrashiny

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Al-Badrashiny. A scholar is included among the top collaborators of Mohamed Al-Badrashiny 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 Mohamed Al-Badrashiny. Mohamed Al-Badrashiny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ferreira, Thiago Castro, et al.. (2024). aiXplain SDK: A High-Level and Standardized Toolkit for AI Assets. 446–452.

Al-Badrashiny, Mohamed, et al.. (2023). EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only. 341–346.

Ferreira, Thiago Castro, et al.. (2023). NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning. 466–470.

Salesky, Elizabeth, Kareem Darwish, Mohamed Al-Badrashiny, Mona Diab, & Jan Niehues. (2023). Evaluating Multilingual Speech Translation under Realistic Conditions with Resegmentation and Terminology. Repository KITopen (Karlsruhe Institute of Technology). 62–78. 2 indexed citations

Al-Badrashiny, Mohamed, et al.. (2023). A Reference-Less Quality Metric for Automatic Speech Recognition Via Contrastive-Learning of A Multi-Language Model with Self-Supervision. 2020. 1–5. 1 indexed citations

Al-Badrashiny, Mohamed, Abdelati Hawwari, & Mona Diab. (2017). A Layered Language Model based Hybrid Approach to Automatic Full Diacritization of Arabic. 177–184. 11 indexed citations

Al-Badrashiny, Mohamed, Abdelati Hawwari, Mahmoud Ghoneim, & Mona Diab. (2016). SAMER: A Semi-Automatically Created Lexical Resource for Arabic Verbal Multiword Expressions Tokens Paradigm and their Morphosyntactic Features.. International Conference on Computational Linguistics. 113–122. 2 indexed citations

Al-Badrashiny, Mohamed & Mona Diab. (2016). LILI: A Simple Language Independent Approach for Language Identification. International Conference on Computational Linguistics. 1211–1219. 9 indexed citations

Al-Badrashiny, Mohamed, Mona Diab, Nizar Habash, et al.. (2016). SPLIT: Smart Preprocessing (Quasi) Language Independent Tool. Language Resources and Evaluation. 4055–4060. 7 indexed citations

10.

Al-Badrashiny, Mohamed, Heba Elfardy, & Mona Diab. (2015). AIDA2: A Hybrid Approach for Token and Sentence Level Dialect Identification in Arabic. 42–51. 16 indexed citations

11.

Al-Badrashiny, Mohamed, Mona Diab, Ahmed El Kholy, et al.. (2014). MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic. Language Resources and Evaluation. 1094–1101. 414 indexed citations breakdown →

12.

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

13.

Al-Badrashiny, Mohamed, Ramy Eskander, Nizar Habash, & Owen Rambow. (2014). Automatic Transliteration of Romanized Dialectal Arabic. 30–38. 49 indexed citations

14.

Attia, Mohammed, Mohamed Al-Badrashiny, & Mona Diab. (2014). GWU-HASP: Hybrid Arabic Spelling and Punctuation Corrector. 10 indexed citations

15.

Attia, Mohamed, et al.. (2014). Omnifont text recognition of printed cursive scripts via HMMs, compact lossless features, and soft data clustering. Pattern Analysis and Applications. 18(3). 507–521. 1 indexed citations

16.

Alhazmi, Mohammed, et al.. (2014). A hybrid automatic scoring system for Arabic essays. AI Communications. 27(2). 103–111. 15 indexed citations

17.

Alkanhal, Mohamed, et al.. (2012). Automatic Stochastic Arabic Spelling Correction With Emphasis on Space Insertions and Deletions. IEEE Transactions on Audio Speech and Language Processing. 20(7). 2111–2122. 32 indexed citations

18.

Rashwan, Mohsen, Mohamed Al-Badrashiny, Mohamed Attia, Sherif Abdou, & Ahmed Rafea. (2010). A Stochastic Arabic Diacritizer Based on a Hybrid of Factorized and Unfactorized Textual Features. IEEE Transactions on Audio Speech and Language Processing. 19(1). 166–175. 50 indexed citations

19.

Attia, Mohamed, Mohsen Rashwan, & Mohamed Al-Badrashiny. (2009). Fassieh¯, a Semi-Automatic Visual Interactive Tool for Morphological, PoS-Tags, Phonetic, and Semantic Annotation of Arabic Text Corpora. IEEE Transactions on Audio Speech and Language Processing. 17(5). 916–925. 14 indexed citations

20.

Attia, Mohamed, et al.. (2008). A Compact Arabic Lexical Semantics Language Resource Based on the Theory of Semantic Fields. Language Resources and Evaluation. 4 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.

Explore authors with similar magnitude of impact